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  • 2020-2024  (204)
  • 1945-1949
  • O'Reilly 〈Firm〉,  (204)
  • American Museum of Natural History
  • CIBA-Aktiengesellschaft Basel
  • [Place of publication not identified] : O'Reilly Media, Inc.  (204)
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Year
Author, Corporation
  • 1
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 3 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Software architecture ; Artificial intelligence ; Architecture logicielle ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Over the past year, generative AI has dominated headlines. We know that it's being used to write code, but how can you leverage its power in software architecture when every company's architecture is different? How can you convert the knowledge automated by AI into the wisdom required for software architecture? What are the best ways to use this powerful tool to improve your architecture's security and resiliency? Join us to discover how AI may impact software architecture and how you can use it in your architectural processes right now. You'll explore AI for SaaS architecture, how to use AI to create diagrams, and more. If you're looking to stay one step ahead, these sessions are for you. What you'll learn and how you can apply it Understand the possibilities and risks of AI so you can judge when and how to use it Learn how GenAI mechanisms can influence core SaaS architecture strategies and how you can implement this in your SaaS solution Explore the use of prompt engineering for architectural tasks and leverage generative AI to improve their work This live event is for you because... You want to understand how to use generative AI to improve and communicate your software architecture. You're a senior-level developer who wants to make the move to architect. You're a practicing software architect who wants to hone your skills and learn new software architecture techniques and practices. Recommended follow-up: Read Building Multi-Tenant SaaS Architectures (book) Read Communication Patterns (book) Read Software Architecture: The Hard Parts (book) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 30, 2024)
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  • 2
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 56 min.)) , sound, color.
    Edition: [First edition].
    DDC: 658.4/78
    Keywords: Cyberterrorism ; Cyberspace Security measures ; Risk management ; Cyberterrorisme ; Gestion du risque ; risk management ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Risk management, the process by which organizations identify, analyze, and mitigate potential threats, is a fundamental skill for any cybersecurity professional. This comprehensive course will teach you the components of risk management, the roles and responsibilities of each player, and how to put it all together to make smart business decisions. You will build the vocabulary and searching skills needed to identify the specific vulnerabilities and threats that are slowing down your mission as well as the ability to communicate about them effectively. What you'll learn and how you can apply it: Be able to apply risk management techniques to your organization Have a firm understanding of cybersecurity risk management Understand the technical risk inventory Be able to consolidate multiple risk analysis reports into a single risk management report This course is for you because: You're a cybersecurity professional. You want a solid foundation and practical skills of risk management. You're looking to move into a new role from a technologist to a cybersecurity professional with an emphasis on core skills important to cybersecurity. Risk Assessment is an adjacent knowledge base that you would like to understand better. Prerequisites: Knowledge of cybersecurity concepts and protocols Knowledge of network security methodologies CompTIA Network+ certification or equivalent knowledge Knowledge of the following: ports, protocols, services, OSI layers, routing, switching, IP addressing, wired and wireless networking infrastructure, network operations, and network troubleshooting tools.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 30, 2024)
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  • 3
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 610.285
    Keywords: Medical informatics ; Artificial intelligence ; Artificial Intelligence ; Médecine ; Informatique ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Webcast
    Abstract: Generative AI has the potential to transform every aspect of healthcare--from personalized patient care and drug discovery to enhanced medical imaging and robot-assisted surgeries. Physicians are taking advantage of state-of-the-art tools like ChatGPT to better connect with their patients and manage medical records. Like any emerging technology, there are benefits and challenges to using AI in medicine. Join us and leading industry experts to learn more about the next-generation AI tools, techniques, and applications driving innovation in healthcare. What you'll learn and how you can apply it Uncover the benchmarks and best practices enabling academic medical centers, pharmaceuticals, and health IT companies to build real-world LLM-based applications Discover how graph databases are reshaping life sciences, catalyzing breakthroughs, and steering healthcare toward impactful, personalized outcomes Explore powerful new generative AI tools designed to enhance the search capabilities of AI models and provide highly accurate LLMs for medical Q&A and summarization Learn how to develop LangChain applications for disease diagnosis and screening Discover generative, predictive, and hybrid AI models that offer comprehensive solutions for complex medical challenges This live course is for you because... You're an AI/ML engineer or data practitioner who wants to broaden your skill set and apply your knowledge to the healthcare industry. You're a medical practitioner looking to explore the latest advancements in AI technology. You're a healthcare leader who wants to implement AI technology in your organization. Recommended follow-up: Read Prompt Engineering for Generative AI (book) Read Developing Apps with GPT-4 and ChatGPT (book) Read Low-Code AI (book) Watch ChatGPT: Possibilities and Pitfalls (video) Read AI-First Healthcare (book) Read Generative Deep Learning, second edition (book) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: "Live courses.". - Online resource; title from title details screen (O'Reilly, viewed January 30, 2024)
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  • 4
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 49 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Microsoft Azure (Computing platform) ; Cloud computing Study guides Examination ; Microsoft Azure (Plateforme informatique) ; Infonuagique ; Examen ; Guides de l'étudiant ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Many organizations are moving some or all of their on-premises network resources to the cloud, and for Microsoft shops, that often means Microsoft Azure. IT professionals who are grounded in on-premises networking need to develop their cloud management skills and prove those skills to their employers. This training explains the Microsoft Certified Azure Administrator certification; outlines the key topics of storage, identity, security, and governance; walks through demos of the activities that candidates will be expected to understand; previews what to expect in the exam; and offers tried-and-true study tips honed through years of taking and writing Microsoft courses. What you'll learn and how you can apply it In combination with the course Azure Administrator Associate (AZ-104) - Managing Compute and Networking Resources, you'll learn the fundamentals needed to pass the AZ-104 Microsoft certification course Understand the different types of Azure identities and how to administer Azure resources using the hierarchy of available structures Understand how to create, secure, and monitor storage as well as how to ensure adequate storage fault tolerance and availability Understand the various tools available for monitoring Azure resources, including analytical and logging tools This course is for you because... You are (or hope to be) an IT administrator in an organization moving to Azure. You work with virtual machines and cloud services in a Microsoft shop. You wish to become a certified Azure Administrator Associate (MC:AAA) via the Microsoft AZ-104 exam. You're a developer who wishes to understand the basic administrative context of the environment for your Azure-based apps. Prerequisites: Basic familiarity with Windows and Windows networking Basic familiarity with virtualization Basic familiarity with PowerShell.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 20, 2024)
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  • 5
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 31 min.)) , sound, color.
    Edition: [First edition].
    DDC: 658.4/03802855745
    Keywords: Data warehousing ; Big data ; Entrepôts de données (Informatique) ; Données volumineuses ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Sponsored by Dremio Storing, processing, and moving data efficiently and cost-effectively in the cloud is a must for working with today's enormous datasets. These expert-led sessions deliver insight into how to increase the scalability, speed, and availability of your data and equip you with a set of best practices for utilizing your data warehouse, data lake, or data lakehouse. What you'll learn and how you can apply it Get an overview of the latest technologies for storing and managing your data Learn best practices for standardizing lakehouse data modeling and pipelining Find out how to streamline data lake implementation Explore how to securely develop and implement ML models on a cloud data warehouse Discover the benefits of data contracts in the modern data stack Understand how to enhance lakehouse infrastructure for multimodal AI This Superstream recording is for you because... You're a data or software engineer or solution architect who's interested in learning about the latest trends in storing, processing, and managing data. You want to improve the scalability, speed, and availability of your data. You want to better understand the systems that you already use and learn how to take full advantage of their capabilities. Recommended follow-up: Read Deciphering Data Architectures (early release book) Read Practical Lakehouse Architecture (early release book) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 20, 2024)
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  • 6
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 9 min.)) , sound, color.
    Edition: [First edition].
    DDC: 658.4/038011
    Keywords: Management information systems ; Business Data processing ; Big data ; Systèmes d'information de gestion ; Gestion ; Informatique ; Données volumineuses ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: An increasing number of organizations are adopting data mesh due to its ability to explain and address the frustrations that many organizations experience as they try to get value from data at scale. Data mesh treats data as a product, considers domains as a primary concern, applies platform thinking to create self-serve data infrastructure, and introduces a federated computational model of data governance. This course will show you how to holistically combine the changes to the technical landscape and the operational model required for data mesh to succeed. You will explore domain ownership, data as a product, how to create a strong developer experience, and federated governance. Once you have completed the course, you will be able to understand the different elements of data mesh in practice and have the confidence to drive data mesh adoption in your company. What you'll learn and how you can apply it: Understand the intent and value behind the foundational elements of data mesh, and have the confidence to participate in a data mesh adoption. This course is for you because: You are or are interested in becoming, involved in a data mesh adoption. You have a stake in successful data use at scale-you're a machine learning practitioner, a data engineer, an engineering manager with responsibility for data or a leader of a technical organization. You are interested in problems at the intersection of business, data and collaboration. Prerequisites Either: Practical experience implementing distributed transactional systems. Practical experience implementing analytical systems. Recommended follow-up: Read Designing Data-Intensive Applications to deepen your technical understanding of data systems at scale. Read Creating a Data-Driven Organisation for a broader look at how to structure an organization to maximize value from data. Read Fundamentals of Data Observability to learn about how to automate data quality checks. Read Enterprise Data Catalog for a deep dive into the discovery part of data management.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 20, 2024)
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  • 7
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 46 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.076
    Keywords: Computing Technology Industry Association Study guides Examinations ; Electronic data processing Study guides Examinations ; Electronic data processing personnel Study guides Certification ; Examinations ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: In this course we focus on preparing you for successfully sitting for the challenging CompTIA Data Plus DA0-001 exam. Data is considered the most important asset for enterprise organizations and as a data professional you will be able to provide immediate value to data driven organizations with the Data Plus certification. CompTIA Data+ is a very challenging exam and successful passing will validate that certified professionals have the skills required to facilitate data-driven business decisions and also provide immediate value to the enterprise. Data professionals must know about data mining, data manipulation, and visualizing and reporting data to stakeholders. So, whether applying basic statistical methods or analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle, a data professional is an important role to enterprises. This course will prepare you to prove your data science skills by successfully taking for the CompTIA Data Plus exam. What you'll learn and how you can apply it By the end of this course, you will: Understand the importance of the CompTIA Data Plus exam and its objectives. Learn how to collect, analyze, and report on various types of commonly used data. Learn about how to transform raw data into usable information for your stakeholders. Learn about database types, data structures, data schemes and other important aspects of data management. Understand how JSON data, HTML data, and XML data is used with data professionals. Understand how ETL and ELT processes work, how APIs connect us to the cloud and learn about profiling datasets. Learn about data manipulation techniques and important concepts around data transposition and normalization. Learn about descriptive statistics, inferential statistics, and various analytic techniques. Identify common analytics tools used in data analysis. Learn about the importance of Structured Query Language (SQL) and its main components. This course is for you because... You're a current or aspiring Data Engineer, Data Analyst, Data Architect, Database Manager or others IT professional interested in managing data. Prerequisites To get the most of this course it is recommended to have the following experience and/or resources: Basic hands-on SQL Database experience around relational database A computer with any version of Excel installed (if you don't already have it, you can sign up for a free 30-day trial).
    Note: Online resource; title from title details screen (O'Reilly, viewed February 6, 2024)
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  • 8
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 13 min.)) , sound, color.
    Edition: [First edition].
    DDC: 658.4/09
    Keywords: Goal (Psychology) ; Motivation (Psychology) ; Motivation (Psychologie) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Performance reviews often produce a rollercoaster of emotions, reduced productivity, and increased workload and frustration for employees, managers, and HR business partners. This is because most new managers are not provided with training on how to work with their reports to identify, set, and track S.M.A.R.T. goals. Without realistic, achievable goals, filling out the requested review documents is painstaking and laborious. By the end of this course, the learner will have core goal setting skills that are brand agnostic so they can be utilized across organizations and business units. They will learn how to empower their team to define and write their own S.M.A.R.T. goals, all while ensuring full accountability. What you'll learn and how you can apply it Qualifying coaching questions to understand direct reports motivations and BHAGs Process to empower your team to define and write their S.M.A.R.T. goals Simple planning methodology Goal tracking recommendations 360 accountability (holding yourself and your direct reports accountable to achieve their goals) This course is for you because: You're a newly promoted manager looking for a process that helps facilitate goal setting and structured accountability for your team. You're a new people manager who is entering your first round of performance reviews. While you understand the company mandated deliverables, you are unsure how to structure conversations with your direct reports to complete them. You're a fairly new manager. While you have been through cycles before, your team is preparing for the next performance review cycle and you need to simplify the process. Prerequisites: Beginner knowledge of S.M.A.R.T. goals.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 20, 2024)
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  • 9
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 1 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Application software Development ; Automation ; Logiciels d'application ; Développement ; Automatisation ; automation ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: In DevOps, SRE, and operations, toil is the enemy. Fortunately, the repetitive and time-consuming manual work that drains team resources is steadily being automated. As a result, the automation tooling landscape has expanded to encompass a wide range of tasks. Whether it's testing, infrastructure configuration and management, provisioning, monitoring, or observability, there's now a tool to automate it. Evaluating and choosing among these tools is critical to the success of DevOps and SRE. Join us for in-depth sessions with leading experts to explore what it means to automate, what successful automation looks like, and how to assess the available tools and determine the right ones for your needs. What you'll learn and how you can apply it Understand how to tame your infrastructure as code using architectural patterns for infrastructure as code architecture Learn the basics of working with Terraform in production environments Explore the integration of Crossplane and Kyverno to automate cluster creation, resource configuration, compliance enforcement, add-on deployment, and security checks This live course is for you because... You're a DevOps engineer or SRE for whom understanding and implementing automation is part of the job. You're a platform engineer tasked with evaluating and implementing an automation toolchain that drives developer efficiency by reducing toil. You're a sysadmin or an operations engineer who wants to learn a more efficient, nonmanual way to build, control, and modify your infrastructure. Recommended follow-up: Read Infrastructure as Code, second edition (book) Read Terraform: Up and Running, third edition (book) Read Infrastructure as Code: Patterns and Practices (book) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 8, 2024)
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  • 10
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (58 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Software architecture ; Database management ; Big data ; Architecture logicielle ; Bases de données ; Gestion ; Données volumineuses ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Join Neal Ford and Zhamak Dehghani for a discussion about the challenges of creating, sharing, and finding data and making your data work for you. With the rise of generative AI, companies need to manage large quantities of data and are looking at distributed data systems and data mesh to solve this challenge. The problem consists in getting from their existing data storage to a distributed data system that works for all stakeholders. As the originator of the concept of data mesh, and because of her ongoing work with scaling decentralized data, Zhamak is well positioned to provide updates and advice on this more holistic approach to data management. What's New in Software Architecture gives you a chance to explore trending topics in software architecture and to ask Neal and Zhamak Dehghani anything you want about data mesh, how to begin making the move to decentralized data, and their own career journeys. We will spend a few minutes covering the trends that are influencing software architecture and then tell you what you need to know to stay ahead of the curve. What you'll learn and how you can apply it Understand what a data mesh is and how it differs from other methods of storing and sharing data Learn the key data characteristics you need to be a data-led organization Explore the tools that can help you make the move to data mesh This live course is for you because... You want to hear from Neal Ford and Zhamak Dehghani about software architecture and data mesh. Recommended Follow-Up: Read Building an Event-Driven Data Mesh (book) Read Data Mesh (book) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 20, 2024)
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  • 11
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 34 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Artificial intelligence promises to augment human capabilities, revolutionize scientific research, personalize consumer experiences, transform education, and usher in an era of autonomous transportation. But companies should understand the risks along with the potential. Implementing AI without clear use cases or business goals can lead to wasted resources, and a lack of expertise or attention to ethical considerations can bring powerful consequences. Join our experts to explore how AI is changing technology and business. You'll learn how to harness its transformative potential while avoiding common missteps and discover how to best use AI as a tool for progress rather than a stumbling block. What you'll learn and how you can apply it Apply AI in the right situations and avoid costly mistakes by expecting too much from a developing tech Program macros and scripts with no coding experience using ChatGPT Discover the progress being made with autonomous vehicles and the pitfalls they face This Superstream recording is for you because... You're an ML engineer or developer interested in safely and effectively taking advantage of recent advances in AI while avoiding potential pitfalls. You want to hear about the latest and greatest of AI from experienced industry experts working in the field today. Your organization is quickly advancing into applying AI without a strong map for the potential peaks and valleys ahead. Recommended follow-up: Read Designing Machine Learning Systems (book) Watch Building AI Agents with LLMs (video) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 4, 2024)
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  • 12
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 21 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.54
    Keywords: Microsoft Excel (Computer file) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Dirty data is everywhere. Have you had a letter addressed to you with your name misspelled? That's dirty data. Do you have trouble finding a product on a website because it's not in the right category? That's dirty data. Do you have trouble finding a person or company name in your system because of a typo? That's dirty data. And it causes problems, lots of problems. Before software implementation, machine learning and AI, you need clean data. It's THE most important thing to fix before doing any of these things, and we're all expected to be able to clean or fix this data, yet no one tells us how to do it! Some of the most common data problems occur in name, address, email and phone number data, and this course will cover this off. While there are many data-cleaning tools out there, almost everyone uses Excel, including non-data professionals, and it's important to have the skills to be familiar with and be able to get to know your data before you use these tools. It's essential to be able to spot and fix errors in Excel first, and understand when the data isn't right so you know if you can trust those fancy tools or not! This course will help you achieve this and you'll learn: What is dirty data? The importance of data quality Tips for cleaning data in Excel How to clean names, addresses, emails and phone numbers in Excel You'll even get your own dirty data set to work on! This course is for you because... You have data quality issues in your organization and would like your team to understand the importance of data quality and how to improve it. You're a data professional spending a significant amount of time cleaning data and would like to work more efficiently. You're not a data professional, but work with data and want to work more efficiently with it. Prerequisites: Some experience of Excel would be beneficial.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 27, 2024)
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  • 13
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (43 min.)) , sound, color.
    Edition: [First edition].
    DDC: 650.1
    Keywords: Success in business ; Leadership ; Time management ; Project management ; Succès dans les affaires ; Leadership ; Gestion du temps ; Gestion de projet ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Advancing in a large organization requires more than just being good at your job. Many of these skills and practices are not obvious and seldom taught. In teaching some of these practices, this course will help you learn how to better manage your time and relationships, find space to innovate, and take advantage of all the perks and benefits of working at a large company, so that you can not only survive but also thrive in your role. What you'll learn and how to apply it By the end of this course, you will have new tools and ways of thinking that will improve your daily outlook, give you more opportunities to advance, and avoid overwork at a large organization. This course is for you because You're new to working at a large company and want some tactics and practices to avoid making mistakes and having an unpleasant worklife. You want to become better at managing relationships and using your time wisely. You want to work on advancing your career and effectiveness at work. Prerequisites You're working in a large company Your job is focused on how the organization runs, either by helping management, being a manager, or aspiring to one of those roles.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 4, 2024)
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  • 14
    Language: English
    Pages: 1 online resource (1 video file (54 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Computer software Development ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Join Michael Lopp and Tara Hernandez as they delve into developer productivity--what it is, why it's often misunderstood, and why it's such a hot topic right now. This event is for aspiring and active leaders who want to ensure that their teams are meeting their goals, have the tools they need to do their best work, and are able to communicate the value of their work to non-technical leadership. Viewers will gain insight into recent debates about measuring developer productivity, what qualitative and quantitative data shed the greatest light on productivity, and what steps they can take to foster an organizational culture that looks holistically at developer experience. Tech Leadership Tuesday is a dynamic monthly live event that helps empower people and technology leaders to become more effective and successful in their leadership roles. Each episode delves into a relevant topic for engineering leaders and, through a conversation between a host and guest, you'll learn about common challenges, best practices, and lessons learned from the guest's experience. What you'll learn and how you can apply it What's driving recent debates about developer productivity The role that developer productivity plays in engineering culture The business value of focusing on developer productivity and how you can measure ROI This live course is for you because... You want the chance to hear from Michael Lopp and Tara Hernandez about leadership and developer productivity. You're a leader and you want to learn to think more holistically about how to empower developers and deliver software faster. Recommended follow-up: Read Rethinking Productivity in Software Engineering (book) Read Efficiency vs. Effectiveness vs. Productivity (Chapter 2 from Leading Effective Engineering Teams) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 27, 2024)
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  • 15
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (58 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Computer software Development ; Artificial intelligence ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Observability is more difficult in the era of large language models, while insight into your code's behavior is increasingly more important. Join Sam Newman and Jessica Kerr for a discussion about the impact of AI on software production. They explore what happens when deterministic work (software development) meets nondeterministic work (GenAI) and examine some of the limitations of communicating with an AI at scale. This event is for anyone who builds or maintains software and is looking to better understand the intersection of GenAI and observability. What's New in Software Development gives you a chance to explore trending topics in software development and to hear from Sam and Jessica Kerr about software development, how to begin implementing AI tooling into your own work, and their own career journeys. They will spend a few minutes covering the trends that are influencing software development and then tell you what you need to know to stay ahead of the curve. What you'll learn and how you can apply it How to start thinking about integrating GenAI into your production lifecycle How to use observability to gain insight into how your code behaves in production This live course is for you because... You want to hear from Sam Newman and Jessica Kerr about how software development is changing. Recommended Follow-Up: Read Observability Engineering (book).
    Note: Online resource; title from title details screen (O'Reilly, viewed January 23, 2024)
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  • 16
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (56 min.)) , sound, color.
    Edition: [First edition].
    DDC: 620.0068
    Keywords: Engineering Management ; Leadership ; Technology Management ; Ingénierie ; Gestion ; Leadership ; Technologie ; Gestion ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Join host Michael Lopp, senior vice president at Apple, and his guest Will Larson, chief technology officer at Carta, as they demystify engineering strategy and discuss how these critical documents are much easier to create--and to support--than most people appreciate. You'll explore the common reasons why many organizations do not have a formal engineering strategy and learn about a proven process for creating one. This event is for you if you want to better understand engineering strategy, learn best practices for making one, or help drive and support strategy in your organization. Tech Leadership Tuesday is a dynamic monthly live event that helps empower people and technology leaders to become more effective and successful in their leadership roles. Each episode delves into a relevant topic for engineering leaders and, through a conversation between a host and guest, you'll learn about common challenges, best practices, and lessons learned from the guest's experience. What you'll learn and how you can apply it The importance of having a written engineering strategy How to create an engineering strategy What to avoid when writing an engineering strategy This live course is for you because... You want to hear from Michael Lopp and Will Larson about creating and implementing engineering strategy. You want to learn how to draft an engineering strategy. Recommended follow-up: Read The Engineering Executive's Primer (early release book by Will Larson) Read The Art of Leadership (book by Michael Lopp) Take Executive Leadership Fundamentals in 60 Minutes (on-demand course with Karen Walker).
    Note: Online resource; title from title details screen (O'Reilly, viewed January 23, 2024)
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  • 17
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (56 min.)) , sound, color.
    Edition: [First edition].
    DDC: 658.4/038
    Keywords: Information technology Management ; Technology Leadership ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Technologie de l'information ; Gestion ; Technologie ; Leadership ; Audiobooks ; Livres audio
    Abstract: This is the one stop shop for all of the 2024 Tech Leadership Tuesday interviews in their audio format. Keep up-to-date with Michael Lopp and his colleagues on their tech leadership journeys.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 23, 2024)
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  • 18
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (58 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Computer software Development ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet ; Audiobooks ; Livres audio
    Abstract: This is the one stop shop for all What's New in Software Development interviews of 2024 in their audio format. Keep up-to-date with Sam Newman and his colleagues on their software development journeys.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 23, 2024)
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  • 19
    Language: English
    Pages: 1 online resource (1 video file (57 min.)) , sound, color.
    Edition: [First edition].
    DDC: 620.0068
    Keywords: Engineering Management ; Leadership ; Technology Management ; Ingénierie ; Gestion ; Leadership ; Technologie ; Gestion ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Join Michael Lopp and Francisco Trindade, senior engineering leader at Braze, for a discussion about staying technical as an engineering manager. As engineers move into management positions, their technical responsibilities evolve. How distant should they be from hands-on coding and technical decisions, and how can they tell if the equilibrium between their technical acumen and managerial proficiency is tipping? Aimed at aspiring and seasoned engineering leaders and managers, this event explores how to find the right balance of technical engagement in management roles. You'll learn how to establish boundaries when making technical decisions for your team and how to recognize the warning signs of an imbalance between your technical and managerial priorities. What you'll learn and how you can apply it When being technical as an engineering leader matters--and when it doesn't How to establish boundaries and cede control when making technical decisions for your team Advice on maintaining your technical skills amid other responsibilities This live event is for you because... You want to learn more about industry and across-company expectations for technical involvement of engineering managers. You're assessing the current balance between your technical and management skills. You want the chance to ask Michael Lopp and Francisco Trindade your questions around software development and technical skills for managers. Recommended follow-up: Read The Manager's Path (book) Read 97 Things Every Engineering Manager Should Know (book) Watch Engineering Management: The Foundations of Technical Leadership (on-demand course) Explore Engineering Leadership Essentials (expert playlist).
    Note: Online resource; title from title details screen (O'Reilly, viewed April 23, 2024)
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  • 20
    Language: English
    Pages: 1 online resource (1 video file (1 hr.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Application software Development ; Logiciels d'application ; Développement ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Join Sam Newman and Evan Bottcher for a discussion about the evolution of internal developer platforms and how to design teams that support a cohesive architecture reflected in underlying systems, features, processes, data, and APIs. Team arrangement, or topology, leads to "forces of alignment," which helps in making better technology decisions for both developers and external customers. What you'll learn and how you can apply it Explore how to make tool choices and organize workflows to optimize developer productivity Learn what constitutes an effective platform engineering team Understand the core values and objectives of successful platform engineering This live course is for you because... You want the chance to hear from Sam Newman and Evan Bottcher about how infrastructure & ops is changing. Recommended follow-up: Read Platform Engineering on Kubernetes (book) Watch Infrastructure & Ops Hour: Platform Engineering with Camille Fournier (video).
    Note: Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
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  • 21
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 510.2/12
    Keywords: Mathematical notation ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: These videos are a series of shorts explaining critical data science concepts through visuals and concise explanations. By learning these fundamentals in bite-sized format, you can digest concepts that are core in machine learning and statistical modeling. Problems like bias and spurious correlations can become easier to grasp as well. Topics include Bayes Theorem, probability distributions, mathematical notation, correlation coefficients, linear regression, and logistic regression.
    Note: "Shortcuts.". - Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
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  • 22
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Artificial intelligence ; Traitement automatique des langues naturelles ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Understanding the core concepts of LLMs is a must-have skill today. This video collection introduces the core concepts you need to know, whether you are a developer or a non-technical person. Learn the components of LLMs, such as the transformer model, context windows, parameters, tokens and more.
    Note: "Shortcuts.". - Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
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  • 23
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 8 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.8
    Keywords: Open source intelligence ; Computer security ; Renseignements de sources ouvertes ; Sécurité informatique ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Open Source Intelligence (OSINT), the gathering of information from publicly available sources, is a critical skill for defensive and offensive cybersecurity. Many professionals that use OSINT as part of their jobs lack a comprehensive and systematic view of the concepts, tools, and techniques for gathering, analyzing, and interpreting data. This course provides a structured path for learning crucial OSINT skills, including search techniques, source evaluation, social media analysis, and ethical considerations. Learners will discover how to leverage OSINT in intelligence gathering, investigations, risk assessment, and decision-making processes.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 15, 2024)
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  • 24
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 25 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.74
    Keywords: PostgreSQL ; SQL (Computer program language) ; SQL (Langage de programmation) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: PostgreSQL is the leading open source database for online transaction processing. It serves as the main database for many applications and services, and is a crucial component of any architecture. Knowing how to best utilize PostgreSQL has a big impact on your application. This on-demand course covers the essentials of PostgreSQL, from performing basic administrative tasks to designing a schema to keep data clean and prevent issues down the road. Through a mix of concise demonstrations and interactive assessment, you will learn how to execute queries, identify potential optimizations, and use appropriate indexes to make queries quick and efficient. What you'll learn and how to apply it Module 1: By the end of this module, the learner will be able to understand PostgreSQL core concepts and architecture. Module 2: By the end of this module, the learner will be able to perform common administrative tasks, such as creating users, tables, constraints, and indexes. Module 3: By the end of this module, the learner will be able to perform query optimizations with indexes. This course is for you because You're a developer, DBA or sysadmin You work with databases You want to specialize in PostgreSQL Prerequisites Basic knowledge of SQL.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 2, 2024)
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  • 25
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (5 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Artificial intelligence ; Traitement automatique des langues naturelles ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Understanding the core concepts of LLMs is a must-have skill today. This video collection introduces the core concepts you need to know, whether you are a developer or a non-technical person. Learn the components of LLMs, such as the transformer model, context windows, parameters, tokens and more.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
    Library Location Call Number Volume/Issue/Year Availability
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  • 26
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (5 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Artificial intelligence ; Traitement automatique des langues naturelles ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Understanding the core concepts of LLMs is a must-have skill today. This video collection introduces the core concepts you need to know, whether you are a developer or a non-technical person. Learn the components of LLMs, such as the transformer model, context windows, parameters, tokens and more.
    Note: "Shortcuts.". - Online resource; title from title details screen (O'Reilly, viewed April 15, 2024)
    Library Location Call Number Volume/Issue/Year Availability
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  • 27
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (6 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Understanding the core concepts of LLMs is a must-have skill today. This video collection introduces the core concepts you need to know, whether you are a developer or a non-technical person. Learn the components of LLMs, such as the transformer model, context windows, parameters, tokens and more.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 15, 2024)
    Library Location Call Number Volume/Issue/Year Availability
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  • 28
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 519.5/36
    Keywords: Regression analysis ; Statistics ; Analyse de régression ; Statistique ; statistics ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: These videos are a series of shorts explaining critical data science concepts through visuals and concise explanations. By learning these fundamentals in bite-sized format, you can digest concepts that are core in machine learning and statistical modeling. Problems like bias and spurious correlations can become easier to grasp as well. Topics include Bayes Theorem, probability distributions, mathematical notation, correlation coefficients, linear regression, and logistic regression.
    Note: "Shortcuts.". - Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
    Library Location Call Number Volume/Issue/Year Availability
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  • 29
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 519.5/37
    Keywords: Correlation (Statistics) ; Mathematical statistics ; Corrélation (Statistique) ; correlation ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: These videos are a series of shorts explaining critical data science concepts through visuals and concise explanations. By learning these fundamentals in bite-sized format, you can digest concepts that are core in machine learning and statistical modeling. Problems like bias and spurious correlations can become easier to grasp as well. Topics include Bayes Theorem, probability distributions, mathematical notation, correlation coefficients, linear regression, and logistic regression.
    Note: "Shortcuts.". - Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
    Library Location Call Number Volume/Issue/Year Availability
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  • 30
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (5 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Artificial intelligence ; Traitement automatique des langues naturelles ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Understanding the core concepts of LLMs is a must-have skill today. This video collection introduces the core concepts you need to know, whether you are a developer or a non-technical person. Learn the components of LLMs, such as the transformer model, context windows, parameters, tokens and more.
    Note: "Shortcuts.". - Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
    Library Location Call Number Volume/Issue/Year Availability
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  • 31
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 56 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.7
    Keywords: Electronic data processing ; Software engineering ; Big data ; Python (Computer program language) ; Computer programming ; Cloud computing ; Génie logiciel ; Python (Langage de programmation) ; Programmation (Informatique) ; computer programming ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: The systems of today are exponentially more complex than the systems of 15, or even 10 years ago. There are way more moving parts and interactions to keep track of, sometimes leading to systems behaving in very unpredictable ways. In the past, Software Engineers and Site Reliability Engineers (SREs) could rely on logging and monitoring to make sense of their systems. This is no longer the case. The good news is that Observability can help. In this course, you will learn about how Observability can help SREs and Software Engineers make sense of what's going on in their systems. You will also learn about OpenTelemetry: what it is, how it supports Observability goals, how OpenTelemetry instrumentation works, and how the OpenTelemetry Collector and OpenTelemetry Operator further enhance OpenTelemetry's capabilities. You will put OpenTelemetry theory into practice with hands-on exercises which include instrumenting a Python application with OpenTelemetry, configuring the OpenTelemetry Collector, and deploying and configuring the OpenTelemetry Kubernetes Operator. Finally, you will learn what pitfalls to avoid when setting up an Observability practice, to ensure that you and your teams are positioned for success, and explore some advanced Observability use cases supported by OpenTelemetry. What you'll learn and how you can apply it Understand what Observability is, and why it is an important practice for SREs and software engineers Understand how OpenTelemetry helps to achieve Observability, and understand the basic building blocks required to instrument an application Understand the value of the OpenTelemetry Collector, and how to configure and deploy it Understand the value of the OpenTelemetry Operator, and how to configure and deploy it Quickly see OpenTelemetry in action in a complex ecosystem by running the OpenTelemetry Demo App Use OpenTelemetry to instrument a simple Python application and send traces to an Observability back-end via the OpenTelemetry Collector Understand what pitfalls to avoid in order to run a successful Observability practice Understand additional ways in which OpenTelemetry can help achieve Observability This course is for you because... You're a Site Reliability Engineer looking to improve the reliability of your systems. You're a Software Engineer looking to improve the debuggability of your code. Prerequisites: Familiarity with Linux Working knowledge of Python programming Docker fundamentals Git fundamentals Kubernetes fundamentals, including deploying applications to Kubernetes.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 2, 2024)
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  • 32
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 510.2/12
    Keywords: Mathematical notation ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: These videos are a series of shorts explaining critical data science concepts through visuals and concise explanations. By learning these fundamentals in bite-sized format, you can digest concepts that are core in machine learning and statistical modeling. Problems like bias and spurious correlations can become easier to grasp as well. Topics include Bayes Theorem, probability distributions, mathematical notation, correlation coefficients, linear regression, and logistic regression.
    Note: "Shortcuts.". - Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
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  • 33
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 57 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Machine learning ; Computer programming ; Python (Langage de programmation) ; Apprentissage automatique ; Programmation (Informatique) ; computer programming ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: In this course, you will learn to use Python for data science and gain the essential skills to analyze and visualize data effectively. Whether you are a data analyst, data scientist, business analyst, or data engineer, this course will provide you with the knowledge and tools to excel in your role. Python is a versatile language that offers powerful libraries for data manipulation, visualization, and machine learning, making it the go-to choice for data professionals. The course solves the problem of understanding and leveraging Python's capabilities for data science by providing business use cases. You will learn to use popular Python libraries such as Pandas, Matplotlib, Seaborn, and Scikit-learn to analyze and visualize data, perform statistical analysis, and build predictive models. By the end of the course, you will have a solid foundation in Python for data science and be ready to apply your skills to real-world projects. What you'll learn and how you can apply it Upon completion of this course, learners will be able to: Apply Python programming concepts for data analysis and visualization Manipulate and analyze data using Pandas Create informative and visually appealing data visualizations using Matplotlib and Seaborn Perform statistical analysis to gain insights from the data Build and evaluate machine learning models for predictive analytics This course is for you because... You're a Python beginner who wants to learn how to manage data with Python. You're a traditional data analyst who has experience with tools like Excel and Tableau, but wants to learn how to manage data with Python. You're a finance, healthcare, ecommerce, or manufacturing/logistics professional looking to become adept in Python and data science. Prerequisites No prior knowledge of Python or Data analytics is needed. All course files can be accessed in this GitHub repository.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 23, 2024)
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    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 519.5/42
    Keywords: Bayesian statistical decision theory ; Probabilities ; Probability learning ; Statistics ; Théorie de la décision bayésienne ; Probabilités ; Apprentissage de probabilités ; Statistique ; probability ; statistics ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: These videos are a series of shorts explaining critical data science concepts through visuals and concise explanations. By learning these fundamentals in bite-sized format, you can digest concepts that are core in machine learning and statistical modeling. Problems like bias and spurious correlations can become easier to grasp as well. Topics include Bayes Theorem, probability distributions, mathematical notation, correlation coefficients, linear regression, and logistic regression.
    Note: "Shortcuts.". - Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
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  • 35
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (5 min.)) , sound, color.
    Edition: [First edition].
    DDC: 519.50285
    Keywords: Probabilities ; Mathematical statistics ; Computer science ; Probabilités ; Informatique ; probability ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: These videos are a series of shorts explaining critical data science concepts through visuals and concise explanations. By learning these fundamentals in bite-sized format, you can digest concepts that are core in machine learning and statistical modeling. Problems like bias and spurious correlations can become easier to grasp as well. Topics include Bayes Theorem, probability distributions, mathematical notation, correlation coefficients, linear regression, and logistic regression.
    Note: "Shortcuts". - Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
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  • 36
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Deep learning (Machine learning) ; Machine learning ; Logistic regression analysis ; Apprentissage profond ; Apprentissage automatique ; Régression logistique ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: These videos are a series of shorts explaining critical data science concepts through visuals and concise explanations. By learning these fundamentals in bite-sized format, you can digest concepts that are core in machine learning and statistical modeling. Problems like bias and spurious correlations can become easier to grasp as well. Topics include Bayes Theorem, probability distributions, mathematical notation, correlation coefficients, linear regression, and logistic regression.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
    Library Location Call Number Volume/Issue/Year Availability
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  • 37
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (5 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Artificial intelligence ; Traitement automatique des langues naturelles ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: These videos are a series of shorts explaining critical data science concepts through visuals and concise explanations. By learning these fundamentals in bite-sized format, you can digest concepts that are core in machine learning and statistical modeling. Problems like bias and spurious correlations can become easier to grasp as well. Topics include Bayes Theorem, probability distributions, mathematical notation, correlation coefficients, linear regression, and logistic regression.
    Note: "Shortcuts.". - Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
    Library Location Call Number Volume/Issue/Year Availability
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  • 38
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Artificial intelligence ; Traitement automatique des langues naturelles ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Understanding the core concepts of LLMs is a must-have skill today. This video collection introduces the core concepts you need to know, whether you are a developer or a non-technical person. Learn the components of LLMs, such as the transformer model, context windows, parameters, tokens and more.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 39
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (5 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Artificial intelligence ; Traitement automatique des langues naturelles ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Understanding the core concepts of LLMs is a must-have skill today. This video collection introduces the core concepts you need to know, whether you are a developer or a non-technical person. Learn the components of LLMs, such as the transformer model, context windows, parameters, tokens and more.
    Note: "Shortcuts.". - Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
    Library Location Call Number Volume/Issue/Year Availability
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  • 40
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Artificial intelligence ; Traitement automatique des langues naturelles ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Understanding the core concepts of LLMs is a must-have skill today. This video collection introduces the core concepts you need to know, whether you are a developer or a non-technical person. Learn the components of LLMs, such as the transformer model, context windows, parameters, tokens and more.
    Note: "Shortcuts.". - Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Artificial intelligence ; Traitement automatique des langues naturelles ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Understanding the core concepts of LLMs is a must-have skill today. This video collection introduces the core concepts you need to know, whether you are a developer or a non-technical person. Learn the components of LLMs, such as the transformer model, context windows, parameters, tokens and more.
    Note: "Shortcuts.". - Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
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  • 42
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (5 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Artificial intelligence ; Traitement automatique des langues naturelles ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Understanding the core concepts of LLMs is a must-have skill today. This video collection introduces the core concepts you need to know, whether you are a developer or a non-technical person. Learn the components of LLMs, such as the transformer model, context windows, parameters, tokens and more.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
    Library Location Call Number Volume/Issue/Year Availability
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  • 43
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (3 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Neural networks (Computer science) ; Intelligence artificielle ; Réseaux neuronaux (Informatique) ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Understanding the core concepts of LLMs is a must-have skill today. This video collection introduces the core concepts you need to know, whether you are a developer or a non-technical person. Learn the components of LLMs, such as the transformer model, context windows, parameters, tokens and more.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 44
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Artificial intelligence ; Traitement automatique des langues naturelles ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Understanding the core concepts of LLMs is a must-have skill today. This video collection introduces the core concepts you need to know, whether you are a developer or a non-technical person. Learn the components of LLMs, such as the transformer model, context windows, parameters, tokens and more.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 45
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (3 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Biocompatibility ; Intelligence artificielle ; Biocompatibilité ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Understanding the core concepts of LLMs is a must-have skill today. This video collection introduces the core concepts you need to know, whether you are a developer or a non-technical person. Learn the components of LLMs, such as the transformer model, context windows, parameters, tokens and more.
    Note: "Shortcuts.". - Online resource; title from title details screen (O'Reilly, viewed April 16, 2024)
    Library Location Call Number Volume/Issue/Year Availability
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  • 46
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 9 min.)) , sound, color.
    Edition: [First edition].
    DDC: 658.5
    Keywords: Product management ; Produits commerciaux ; Gestion ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Product management (PM) has emerged as an exciting and highly desirable career path, offering opportunities to people with far-reaching and eclectic skill sets and backgrounds. But this very variability can make product management a particularly challenging field to enter. Do all organizations mean the same thing when they say "product manager"? Do you need to learn technical skills to become a product manager? Become an expert designer? Get an MBA? This video provides strategies for breaking into a PM role from within or outside an organization. What you'll learn and how you can apply it Understand the fast-changing landscape of product management and adjacent roles Discover how to spot the product roles that match your background and experience Learn ways to transition from a nonproduct role to a PM role in your organization Prepare for your first product management job interview This course is for you because... You're a relatively new product manager, product owner, program manager, etc. Prerequisites: Beginner knowledge of product management Recommended follow-up: Watch Product Management Fundamentals (video).
    Note: Online resource; title from title details screen (O'Reilly, viewed April 15, 2024)
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  • 47
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 33 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Software architecture ; Architecture logicielle ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: It's easy to assume that being a software architect is mostly about technical decision-making, but the job involves much more than that. So, what are the skills that make a software architect, and what do you need to know to succeed in the job? Join us to discover how to build the skills you need to step into a software architect role with confidence. You'll explore how to design distributed systems, work with architectural patterns, manage data, collaborate with teams, and more. By the time you're through, you'll understand why the answer to so many questions in software architecture is "It depends" and how to assess the trade-offs that will influence your decision-making. What you'll learn and how you can apply it Use architectural design patterns to make architectural choices Understand why architectural decisions are important and how to make them efficiently Think like a software architect and consider trade-offs effectively This live event is for you because... You're an aspiring software architect who wants to understand which skills you need to progress in your career. You're a software architect who wants to explore key skills in more detail. Recommended follow-up: Read Fundamentals of Software Architecture (book) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 2, 2024)
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  • 48
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (56 min.)) , sound, color.
    Edition: [First edition].
    DDC: 658.4/06
    Keywords: Corporate reorganizations ; Entreprises ; Réorganisation ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: While reorganizations can unleash tremendous business value, they're inherently disruptive. And when they're managed poorly, they can do more harm than good. Michael Lopp and Heidi Helfand discuss how to make reorgs as painless as possible for leaders and teams. Join them to understand ways of approaching a reorg strategically to maximize the benefits of the changes, build unity with new teams, and minimize known challenges. You'll learn when and how to effectively communicate the business goals of the reorg, how to advocate for yourself and team members, and what you can do to help others adapt and thrive during this period of growth and change. Tech Leadership Tuesday is a dynamic monthly live event that helps empower people and technology leaders to become more effective and successful in their leadership roles. Each episode delves into a relevant topic for engineering leaders and, through a conversation between a host and guest, you'll learn about common challenges, best practices, and lessons learned from the guest's experience. What you'll learn and how you can apply it How to approach reorgs strategically to minimize disruption How to advocate for you and your team to benefit from the reorg This live event is for you because... You want the chance to hear from Michael Lopp and Heidi Helfand about software development and reorganizations. You want to be better prepared to navigate a reorg. Recommended follow-up: Read (or listen to) Dynamic Reteaming: The Art and Wisdom of Changing Teams, second edition (book) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 2, 2024)
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  • 49
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 36 min.)) , sound, color.
    Edition: [First edition].
    DDC: 658.5
    Keywords: Product management ; Produits commerciaux ; Gestion ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: "This six-module course teaches product managers how to choose a product to design, create a business case, work with engineering, and bring it to market. It will train current and aspiring product managers how to perform market research, understand a product life-cycle process, and successfully define, develop, launch, and promote new products. The modules are intended for anyone with no prior product management experience who wants to work in that capacity in a tech business or startup, as well as aspiring founders who want to learn more about the product management process. What you'll learn and how you can apply it The purpose of this course is to provide a fundamental understanding of new product design and development ideas. It presents essential management concerns in new product design; cutting-edge new product ideation, design, development, and marketing approaches. The goal of the product management module is to walk through the product management life cycle, from inception to growth and launch, while taking customer feedback into consideration and implementing effective tools, processes, and determination to create a scalable product and manage it until its end of life. It covers the product life cycle, market research, competitive analysis, market and pricing strategies, product roadmaps, and the people skills necessary to effectively influence and negotiate. It will give you practical, actionable advice on how to create and capture value as a Product Manager, with a focus on the fundamental concepts that underpin successful product creation and management across industries and individual businesses. Bridging the gap between ""strategy"" and ""implementation"" Learn and implement Product Management tools Prioritize your time and pick your battles (backlog) Collect and analyze customer and market feedback Prioritize and effectively communicate needs to technical teams Manage Technology Roadmaps effectively Guarantee successful product lifecycle management while mitigating product safety risks This course is for you because... You're a product manager with 1-4 years of experience who needs to deliver a product from initiation to decline and expansion. You have basic product management life cycle knowledge, from defining product problem statements, market assessment, technology roadmap, development, and go-to market. You have previous product management experience in charge of a team of at least five developers or cross-functional engineering teams (or if you would like to lead a team of five developers or more). Prerequisites Read: Practical Product Management for Engineers by Nehal Patel, Co-author Philip Hoang (book) Complete: Professional Development by Eric Roulo (Owner Roulo Consulting Inc.) Roulo Consulting Inc - Professional Development Reading/Writing Assignment".
    Note: Online resource; title from title details screen (O'Reilly, viewed March 4, 2024)
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  • 50
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 29 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1068/5
    Keywords: Computer software Quality control ; Computer software Development ; Software engineering ; Logiciels ; Qualité ; Contrôle ; Génie logiciel ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Getting out of tech debt can feel like a Sisyphean task. After weeks of work, the success case is to have the app working the way it used to. It's not uncommon for organizations to declare code bankruptcy and rewrite working systems from the ground up. How do we end up in this situation? How do we measure it? And how do we alleviate, or even better, prevent such a situation? Join expert Chelsea Troy to explore technical debt and its impact on an organization. You'll learn how this debt builds up, how to measure it, and how to zero in on areas of greatest need--identifying high-leverage code changes and prioritizing them over renovations. You'll also explore the skills that tech teams use to prevent and reduce tech debt so you can apply them in your own organization. What you'll learn and how you can apply it: By the end of this course, you should be able to marshal you team's morass of frustration around your technical debt into an actual plan with prioritized steps to reduce and control it. This course is for you because: You're an engineer who wants to understand and reduce tech debt. You work with engineers or manage large projects and want the code to work, and keep working, without burning out the team. Prerequisites: Experience leading technical teams or working with a code base that's becoming hard to maintain (useful but not required).
    Note: Online resource; title from title details screen (O'Reilly, viewed February 27, 2024)
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  • 51
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 51 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.8
    Keywords: Computer security ; Microcomputers Access control ; Sécurité informatique ; Micro-ordinateurs ; Accès ; Contrôle ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Are you tired of chasing security vulnerabilities after your code is already built? Integrating security best practices into your development pipeline through DevSecOps automation allows your organization to effectively implement and scale solutions to this problem. Automation creates visibility and observability across the software development lifecycle, but while it can enable a "shift left," it is important to examine its potential pitfalls and challenges. Join top DevSecOps experts for an overview of some of the greatest benefits and most pressing concerns of automation. You'll explore best practices around the use of automated security tools for testing and vulnerability management, the ongoing care and feeding of your automation program, and the behavioral and cultural factors that can make or break your automation strategy. What you'll learn and how you can apply it Understand how the development, operations, and security teams can work together to improve your organization's product. Gain a deeper understanding of system resilience, security champion programs, secure system development, and securing the ML lifecycle. Learn how to implement DevSecOps best practices. This live event is for you because... You're a security practitioner interested in DevSecOps. You're a developer or engineer looking to integrate security into your ML lifecycle. You want to understand the role of security in complex systems. Recommended follow-up: Read Learning DevSecOps (early release book) Read Security Chaos Engineering (book) Watch Software Development Hour with Sam Newman: Building Secure Software with Laura Bell (video) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 23, 2024)
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  • 52
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (43 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Kubernetes Study guides Examinations ; Software container technologies Study guides Examinations ; Application software Study guides Development ; Computer programs ; Examinations ; Application program interfaces (Computer software) Study guides Examinations ; Open source software Study guides Examinations ; Logiciels d'application ; Développement ; Logiciels ; Examens ; Guides de l'étudiant ; Interfaces de programmation d'applications ; Examens ; Guides de l'étudiant ; Logiciels libres ; Examens ; Guides de l'étudiant ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: The ability to use, troubleshoot, and monitor Kubernetes as an application developer is in high demand. In response, the Cloud Native Computing Foundation (CNCF) developed the Certified Kubernetes Application Developer (CKAD) program to establish credibility and value in the job market. The exam is different from the typical multiple choice format of other certifications. It's completely performance based, under immense time pressure, and requires deep knowledge of the tasks. In this four-part course, expert and CKAD Benjamin Muschko walks you through all the topics covered in the exam to fully prepare you to pass with flying colors. Part 1 gives the learner an overview of the CKAD exam, and describes the objectives and target audience for the certificate. The content also explains the Kubernetes architecture and how to manage objects using kubectl. What you'll learn and how you can apply it Understand the topics important to the exam and their contribution to the total score Gain an overview on the exam environment, as well as tips & tricks for acing the exam Understand just enough about Kubernetes to get started Interact with a Kubernetes cluster using the command line tool kubectl This course is for you because... You're a developer using Kubernetes to configure, manage, and rollout applications, and you want to obtain CKAD certification You want to understand the basics of Kubernetes by solving hands-on problems You want to become a Certified Kubernetes Application Developer Prerequisites You should have experience working with containers, in particular Docker You should possess beginner-level understanding of Kubernetes concepts and the resources API You should have familiarity with a Unix environment and Bash commands as well as with command-line-based text editors (optimally vim) and the YAML format Have access the course's GitHub repository.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 20, 2024)
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  • 53
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (54 min.)) , sound, color.
    Edition: [First edition].
    DDC: 303.6/9
    Keywords: Conflict management ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This course focuses on managing conflicts in corporate environments among engineers, peers, and superiors. Its aim is to shed light on how conflicts trigger negative responses and provide effective strategies to handle them. The course offers hands-on and practical examples in written format, providing attendees a standardized approach and set of tools for resolving conflicts. In a corporate setting, conflicts between customers, colleagues, and supervisors can hinder productivity, create an unpleasant work environment, and affect the overall success of a company. Engineers are often faced with complex problems and challenges in their work, which can lead to conflicts. Thus, it is essential for engineers to have the necessary skills to manage conflicts efficiently and effectively. By taking a course in conflict management, engineers can develop a comprehensive understanding of conflict, its causes, and best practices for resolution. This, in turn, will enable them to handle conflicts in a professional and constructive manner, leading to improved relationships, better teamwork, and a more harmonious work environment. What you'll learn and how you can apply it Understand the nature of conflict as a universal phenomenon Identifying the causes of conflict Learn the essential principles of conflict resolution Practical steps for managing conflict with peers, clients, and supervisors Build personal conflict management action plans This course is for you because... You're an engineer looking to build skills on conflict resolution. You're looking to manage and resolve conflicts that arise between customers, coworkers, and superiors.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 14, 2023)
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  • 54
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 33 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Kubernetes Study guides Examinations ; Software container technologies Study guides Examinations ; Application software Study guides Development ; Computer programs ; Examinations ; Application program interfaces (Computer software) Study guides Examinations ; Open source software Study guides Examinations ; Logiciels d'application ; Développement ; Logiciels ; Examens ; Guides de l'étudiant ; Interfaces de programmation d'applications ; Examens ; Guides de l'étudiant ; Logiciels libres ; Examens ; Guides de l'étudiant ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: The ability to use, troubleshoot, and monitor Kubernetes as an application developer is in high demand. In response, the Cloud Native Computing Foundation (CNCF) developed the Certified Kubernetes Application Developer (CKAD) program to establish credibility and value in the job market. The exam is different from the typical multiple choice format of other certifications. It's completely performance based, under immense time pressure, and requires deep knowledge of the tasks. In this four-part course, expert and CKAD Benjamin Muschko walks you through all the topics covered in the exam to fully prepare you to pass with flying colors. Part 2 gives the learner an overview of application design and build, covering containers, Pods and Namespaces, Jobs and CronJobs, Volumes, Multi-Container Pods, and Labels and Annotations. What you'll learn and how you can apply it When and how to apply Kubernetes concepts to manage an application Objectives, abilities as well as tips and tricks (like time management, navigating the exam environment and the type of questions to expect) needed to pass the CKAD exam The ins and outs of the kubectl command-line tool This course is for you because... You're a developer using Kubernetes to configure, manage, and rollout applications, and you want to obtain CKAD certification. You want to understand the basics of Kubernetes by solving hands-on problems. You want to become a Certified Kubernetes Application Developer. Prerequisites: You should have experience working with containers, in particular Docker You should possess beginner-level understanding of Kubernetes concepts and the resources API You should have familiarity with a Unix environment and Bash commands as well as with command-line-based text editors (optimally vim) and the YAML format Have access the course's GitHub repository.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 20, 2024)
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  • 55
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 31 min.)) , sound, color.
    Edition: [First edition].
    DDC: 808.06/665
    Keywords: Commercial correspondence ; Business writing ; Business report writing ; Style commercial ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: In business, people must create solutions to client problems and communicate those solutions effectively in writing. This on-demand course will show you how to focus your writing and generate ideas under pressure to a deadline. You will learn how to make those ideas compelling and valuable to your audience. And you will learn techniques professional writers use to express ideas in a way that is far more likely to be read by the audience. Writing effectively is one of the few skills that will be useful throughout your career and particularly useful if you want to advance to higher levels in an organization. Join David Griffiths in this engaging course that will teach you the art of writing well, from time-honored techniques to generating content with new tools such as ChatGPT. What you'll learn and how you can apply it To write and communicate effectively and with purpose This course is for you because... You're a Business and IT professional who wants to learn how to create better communications with clients and colleagues.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 20, 2024)
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  • 56
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 52 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Kubernetes Study guides Examinations ; Software container technologies Study guides Examinations ; Application software Study guides Development ; Computer programs ; Examinations ; Application program interfaces (Computer software) Study guides Examinations ; Open source software Study guides Examinations ; Logiciels d'application ; Développement ; Logiciels ; Examens ; Guides de l'étudiant ; Interfaces de programmation d'applications ; Examens ; Guides de l'étudiant ; Logiciels libres ; Examens ; Guides de l'étudiant ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: The ability to use, troubleshoot, and monitor Kubernetes as an application developer is in high demand. In response, the Cloud Native Computing Foundation (CNCF) developed the Certified Kubernetes Application Developer (CKAD) program to establish credibility and value in the job market. The exam is different from the typical multiple choice format of other certifications. It's completely performance based, under immense time pressure, and requires deep knowledge of the tasks. In this four-part course, expert and CKAD Benjamin Muschko walks you through all the topics covered in the exam to fully prepare you to pass with flying colors. Part 4 gives the learner an overview of application environment, configuration, and security, including coverage of custom resource definitions, authentication, authorization, resource management, configmaps and secrets, and the security context. It also covers Services and Networking, including coverage of troubleshooting services, ingresses, and network policies. What you'll learn and how you can apply it When and how to apply Kubernetes concepts to manage an application Objectives, abilities as well as tips and tricks (like time management, navigating the exam environment and the type of questions to expect) needed to pass the CKAD exam The ins and outs of the kubectl command-line tool This course is for you because... You're a developer using Kubernetes to configure, manage, and rollout applications, and you want to obtain CKAD certification. You want to understand the basics of Kubernetes by solving hands-on problems. You want to become a Certified Kubernetes Application Developer. Prerequisites: You should have experience working with containers, in particular Docker You should possess beginner-level understanding of Kubernetes concepts and the resources API You should have familiarity with a Unix environment and Bash commands as well as with command-line-based text editors (optimally vim) and the YAML format Have access the course's GitHub repository.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 20, 2024)
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  • 57
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 17 min.)) , sound, color.
    Edition: [First edition].
    DDC: 658.3/14
    Keywords: Employee motivation ; Employees Attitudes ; Employees Psychology ; Personnel ; Motivation ; Personnel ; Attitudes ; Personnel ; Psychologie ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Gallup surveys indicate that up to 67% of the global workforce is disengaged, with disengaged workers costing companies significant money and lost time. Managers and supervisors are in a unique position to change this bleak reality by utilizing best practices to keep their direct reports motivated and engaged. This course provides information and tools for getting direct reports off to a strong start with clear goals as well as the resources and connections they need to accomplish them. It will help managers create a healthy work environment that's conducive to achieving strong performance, delivering helpful feedback, and reengaging a direct report whose motivation is flagging. What you'll learn and how to apply it At the end of this course, you'll be able to: Set goals and track performance Ascertain what motivates (and demotivates) direct reports Use tools to keep direct reports engaged with their supervisor, their colleagues and their work Implement best practices for creating a work environment that's conducive to employees thriving over the long haul Approach giving feedback in a way that gets heard and builds trust with direct reports Use the powerful Stay Interview to re-engage a direct report and help them find the motivation they need to continue with their present employer while contributing at their highest level Tap into available resources if you have followed the best practices for motivating employees and their direct report is still not performing and not demonstrating motivation to improve their performance This course is for you because... You're a recent (1-3 years) manager who wants to become more effective at motivating direct reports You're an aspiring manager who wants to learn what it takes to motivate direct reports You manage informally (i.e. a team lead or project lead) and are looking to incorporate some best practices for motivating your team members into your approach Prerequisites No prerequisites are required for this course.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 27, 2024)
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  • 58
    Language: English
    Pages: 1 online resource (1 video file (1 hr.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Software architecture ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Join us for a special conversation with Neal Ford and Mary and Tom Poppendieck, authors of four books including the groundbreaking 2003 title Lean Software Development: An Agile Toolkit. You'll learn what they think the future of software will look like and discover why what's most meaningful to software development isn't the newest technologies but knowing what value is and what's most important to work on. You'll also hear their insights on how to get from where you are now to where you need to be in a safe, reliable, and scalable way. This is a chance for you to hear from Neal, Mary, and Tom about software, architecture, and their own career journeys. They'll spend a few minutes covering the trends that are influencing architecture, then tell you what you need to know to stay ahead of the curve. What you'll learn and how you can apply it Find out what the future of software may look like Discover why it's essential to consider the value of your software See what's coming next with software architecture This recording of a live event is for you because... You want the chance to hear from Neal Ford and Mary and Tom Poppendieck about software engineering and architecture and what the future may hold for the field. You're looking to enhance your skills and innovate in your organization. Recommended follow-up: Read Software Architecture: The Hard Parts (book) Read Lean Software Development: An Agile Toolkit (book) Read Implementing Lean Software Development: From Concept to Cash (book) Read Leading Lean Software Development: Results Are Not the Point (book) Take Software Architecture by Example (live online course with Neal Ford and Mark Richards) Watch Software Architecture Superstream: Software Architecture Trade-Offs (live event on January 18).
    Note: Online resource; title from title details screen (O'Reilly, viewed February 20, 2023)
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  • 59
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (59 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Computer software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Join us for a special conversation with Sam Newman and software development pro Kevlin Henney, who'll discuss software design things that practitioners keep forgetting about and why good design matters so much. They'll also explore the idea of using the oft-cited "right tool for the job" and explain why that's so difficult to determine when the very process of development is what reveals "the job." This is a chance for you to hear from Sam and Kevlin about software development, how to use the right tools for your work, and their own career journeys. They'll spend a few minutes covering the trends that are influencing software, then tell you what you need to know to stay ahead of the curve. What you'll learn and how you can apply it Explore what really matters for software design See what's coming next for software development This recording of a live event is for you because... You want the chance to ask Sam Newman and Kevlin Henney your questions about software development. Recommended follow-up: Attend Software Development Superstream: Becoming a Senior Software Engineer (live event on February 22).
    Note: Online resource; title from title details screen (O'Reilly, viewed February 20, 2023)
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  • 60
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 25 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.7
    Keywords: Database management ; Management information systems ; Information storage and retrieval systems ; Data warehousing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: The ability to store, process, and manage data in the cloud efficiently and cost-effectively is a must for working with today's enormous datasets. Data lakes answered the problem of silos found in many data warehouses. And the data lakehouse emerged as a solution that combined the strengths of both models. But with the number of versatile data storage and management options available, it can be hard to figure out which solution is right for you. These expert-led sessions will give data engineers, software engineers, and solution architects insight into how to increase the scalability, speed, and availability of your data, along with best practices for best utilizing your data warehouse, data lake, or data lakehouse. About the Data Superstream Series: This Superstream series is designed to help your organization maximize the business impact of your data, and packed with insights from key innovators and the latest tools and technologies to help you stay ahead of it all. What you'll learn and how you can apply it Get an overview of the latest technologies for storing and managing your data Discover the benefits of implementing a data lakehouse for improved analytics and data science Understand how to perform robust analytics on a cloud data warehouse Find out how to test data quality at scale with Apache Iceberg Learn best practices for using a data mesh approach Explore how to democratize and leverage machine learning on a data lakehouse This recording of a live event is for you because... You're a data or software engineer or solution architect interested in learning about the latest trends in storing, processing, and managing data. You want to improve the scalability, speed, and availability of your data. You want to better understand the systems that you already use and learn how to take full advantage of their capabilities. Recommended follow-up: Read The Cloud Data Lake (book) Read Data Management at Scale, second edition (book) Take Google BigQuery First Steps (live online training course with Joy Payton) Take Data Lakehouse Fundamentals (live online training course with Janani Ravi) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 20, 2023)
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  • 61
    Language: English
    Pages: 1 online resource (1 video file (2 hr.)) , sound, color.
    Edition: [First edition].
    DDC: 004.6782
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Electronic data processing personnel ; Amazon Web Services (Firm) ; Cloud computing ; Electronic data processing personnel ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Sponsored by AWS It's no longer a question of whether your organization is moving to the cloud, but rather how fast you can move while ensuring security, visibility, control, and safety. If you're migrating to the cloud or already operating in the cloud, you want a secure and efficient way to manage and monitor your infrastructure and applications in the cloud, on premises, or in hybrid or multicloud environments. But operations management tools can be monolithic, siloed, and not natively integrated. Tired of building custom solutions and designing manual processes that hinder your cloud development as you operate your applications at scale? Join us for AWS Observe and Operate, a three-part series designed to showcase solutions for your observability and operations needs. In this first event of the AWS Observe and Operate Series, AWS experts show how you can implement and automate IT operations processes like incident, event, and change management with scalable, cloud native services. If you're already using ITSM tools like Jira Service Management or ServiceNow, you'll learn how to leverage and enhance those existing investments with bidirectional integration, allowing you to automate your ITSM processes and eliminate manual steps. You'll also learn how you can prevent and mitigate operational issues before they impact your customers by using AI-powered anomaly detection with built-in proactive and reactive processes to detect abnormal operating patterns. Lastly, you'll learn ways to optimize your resources and infrastructure to save your team headaches and to keep costs down. What you'll learn and how you can apply it Learn how you can operate and manage your applications securely at scale in AWS, hybrid, and multicloud environments with AWS Systems Manager Learn how you can leverage AIOps to identify the root causes of issues faster across complex workloads with Amazon DevOps Guru Gain the right amount of operational insight and learn best practices to optimize your resources and reduce operating costs This recording of a live event is for you because... You're a cloud engineer or architect responsible for managing and maintaining infrastructure and applications in your AWS, hybrid, or multicloud environment. You're responsible for monitoring systems and applications to ensure they run smoothly, while responding to and quickly resolving incidents to minimize downtime and prevent service disruptions. You want to improve uptime and reduce operating costs across your operations through automation. Prerequisites: Foundational knowledge of cloud or on-premises infrastructure and applications Recommended follow-up: Read AWS System Administration (book) Read Implementing MLOps in the Enterprise (book) Read Operating Continuously (book) Read Migrating to AWS: A Manager's Guide (book) Watch Automation in AWS with CloudFormation, CLI, and SDKs (on-demand course) Read The Definitive Guide to AWS Infrastructure Automation: Craft Infrastructure-as-Code Solutions (book).
    Note: Online resource; title from title details screen (O'Reilly, viewed June 26, 2023)
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  • 62
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (54 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Software architecture ; Software architecture ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Join us for this edition of O'Reilly Book Club with Mark Richards and Neal Ford, author of Fundamentals of Software Architecture and Software Architecture: The Hard Parts. Ask questions, learn tricks of the trade, listen to stories, and connect with other readers. What you'll learn and how you can apply itUnderstand what software architecture is and why it's so hard to define precisely Learn the fundamentals of software architecture (structure of the system combined with architecture characteristics, architecture decisions, and design principles) Explore the importance of thinking like a software architect This recording of a live event is for you because... You want to go beyond the words on the page and hear from the authors. You want to learn from other software architects. Recommended follow-up: Read Fundamentals of Software Architecture (book) Read Software Architecture: The Hard Parts (book) Attend Software Architecture by Example (live event with Mark Richards and Neal Ford) Attend our 2023 Software Architecture Superstream events Attend our Software Architecture Hour events.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 21, 2023)
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  • 63
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (55 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Web site development ; Application software Development ; Database management ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Join us for this edition of O'Reilly Book Club with Martin Kleppmann, author of Designing Data-Intensive Applications, to explore principles and best practices for developing distributed data systems. Learn tricks of the trade, listen to stories, and hear from other readers. What you'll learn and how you can apply it Make data systems scalable to support applications with a large user base Build applications that are reliable and operationally robust Develop systems that are easier to maintain and can adopt and grow with the changing technology landscape and requirements This recording of a live event is for you because... You want to go beyond the words on the page and hear from the author. You want to learn principles and best practices for designing distributed data systems. Recommended follow-up: Read Designing Data-Intensive Applications (book) Read Fundamentals of Data Engineering (book) Read Designing Distributed Systems (book).
    Note: Online resource; title from title details screen (O'Reilly, viewed June 13, 2023)
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  • 64
    Language: English
    Pages: 1 online resource (1 video file (58 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Join George Anadiotis and Nazneen Rajani, robust research lead at Hugging Face, for a discussion about one of the fastest changing and most exciting technologies in AI--large language models (LLMs)--and discover how LLMs can contribute to solving your organization's needs. LLMs have revolutionized both NLP and AI by enabling the creation of more accurate systems for understanding human speech as well as cutting-edge applications for tasks such as text processing, machine translation, and text generation. You'll learn how to develop a framework for evaluating different LLMs, how LLMs can be used and fine-tuned effectively, and what ethical implications to consider for potential applications. What's New in AI gives you a chance to hear from leading minds in the field on topics such as generative AI, large language models, responsible AI, current regulations, and other developments as they appear. Host George Anadiotis, founder of Linked Data Orchestration, and members of O'Reilly's community of experts help you make sense of the bigger picture in AI and leverage emerging AI technologies to solve your organization's most challenging problems. What you'll learn and how you can apply it Learn about the most recent LLMs including ChatGPT, BLOOM, Anthropic's Claude, and Google's Bard Understand the capabilities and limitations of these large language models Develop an understanding of the criteria used to evaluate LLMs and how they apply to your setting Learn how to tailor LLMs to your needs This recording of a live event is for you because... You're a data scientist, machine learning engineer, machine learning architect, leader, or practitioner who designs, develops, and deploys machine learning systems. You want to keep up-to-date on the latest developments and breakthroughs in the field of AI. Recommended follow-up: Read "Hello Transformers" (chapter 1 in Natural Language Processing with Transformers, revised edition) Watch Natural Language Processing Using Transformer Architectures (video) Read "Text Generation" (chapter 5 in Natural Language Processing with Transformers, revised edition) Read "Managing Bias in Machine Learning" (chapter 4 in Machine Learning for High-Risk Applications) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 7, 2023)
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  • 65
    Language: English
    Pages: 1 online resource (1 video file (59 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Software architecture ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Join us for a special conversation with Neal Ford and Gayathri Thiyagarajan, where they will discuss practical application of Data Mesh to improve data quality and some of the challenges that come from implementing it at scale as well as the opportunities it provides. They'll dive into a practical discussion of Data Mesh based on implementing Data Quality at scale and what steps are needed to ensure end users are receiving reliable data. This is a chance for you to hear from Neal and Gayathri about software, architecture, and their own career journeys. They will spend a few minutes covering the trends that are influencing architecture and then tell you what you need to know to stay ahead of the curve. What you'll learn and how you can apply it Understand data mesh and how it might fit into your organization. See what's coming next with software architecture. This live course is for you because... You want the chance to hear from Neal Ford and Gayathri Thiyagarajan about methodologies for improving your software architecture. You're looking for ways to grow your own skills and act as an innovator in your organization. Recommended follow-up: Read Data Mesh (book) Read Software Architecture: The Hard Parts (book).
    Note: Online resource; title from title details screen (O'Reilly, viewed September 19, 2023)
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  • 66
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (58 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Software architecture ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Join us for a special conversation with Neal Ford and Michael Feathers, founder and director of R7K Research & Conveyance, where they'll discuss the best way to handle making improvements to a large, unfamiliar code base--a task that starts with understanding code base technologies you've never seen before. Understanding the system, something that is rarely taught, is a vital part of software development. You'll hear about the patterns you can use to make this task successful. This is a chance for you to hear from Neal and Michael about software, architecture, and their own career journeys. They'll spend a few minutes covering the trends that are influencing architecture, then tell you what you need to know to stay ahead of the curve. What you'll learn and how you can apply it Get insights to support your work with legacy systems See what's coming next with software architecture This live course is for you because... You want the chance to hear directly from Neal Ford and Michael Feathers about the alignment between strategy and software architecture and what the future might look like. You are currently looking for ways to grow your own skills and to act as an innovator in your organization. Recommended follow-up: Read Working Effectively with Legacy Code (book) Read Refactoring: Improving the Design of Existing Code (book) Listen to Building Microservices, second edition (audiobook).
    Note: Online resource; title from title details screen (O'Reilly, viewed August 3, 2023)
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  • 67
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 19 min.)) , sound, color.
    Edition: [First edition].
    DDC: 658.4/022
    Keywords: Virtual work teams Leadership ; Telecommuting Leadership ; Teams in the workplace ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: With more teams working remotely, leaders must maintain high team performance with less visibility and supervision. They must inspire and motivate, but from and across time zones. Remote leadership thus poses special challenges and requires adapting traditional skill sets to this new way of working. Those with a better understanding of these challenges and how to surmount them will be more productive and lead more cohesive, successful teams. What you'll learn and how you can apply it Adopt the appropriate leadership mindset and approach to lead a team remotely Develop the skills needed to be a remote leader Build an efficient remote team culture Understand which tools are needed to perform the remote leader's role effectively This course is for you because... You're managing a team of people who work remotely. You're looking to move into a new role where you will manage remote workers. You want to become more proficient at managing remote team members.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 14, 2023)
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  • 68
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (59 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1/6
    Keywords: Software refactoring ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Ideas like TDD, BDD and Continuous Delivery are great, but how do you introduce them to legacy systems? Practically, hands-on, how do you change legacy-code to make it testable? When Kent Beck wrote about TDD he introduced a profoundly valuable engineering practice to software development. In his book " Working Effectively with Legacy Code" Michael Feathers defines a legacy system as "a system without automated tests". So how can we take advantage of the benefits of TDD when our code is the wrong shape, when it was developed without automated tests? In this 3-part Video Course. Dave demonstrates his preferred "Four Steps to Refactoring, Approval Testing and De-cluttering", applies them to some very nasty code: making it testable and discovering some surprising things along the way. What you'll learn and how you can apply it How to change legacy-code safely, in small steps, to make it testable. Using Approval testing to ensure changes are safe. Understand a four-step process to guide refactoring in even complex code. This course is for you because... You're a programmer interested in learning how to refactor legacy code so that it is testable. You're looking to introduce TDD, BDD and Continuous Delivery to legacy systems. You want to become more proficient at working with legacy code and improving your code base. Prerequisites: Writing code in one language Basic software developer skills Some knowledge of TDD and testing is helpful.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 14, 2023)
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  • 69
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (34 min.)) , sound, color.
    Edition: [First edition].
    DDC: 155.9/042
    Keywords: Stress management ; Burn out (Psychology) Prevention ; Quality of work life ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: The majority of workers will experience burnout at some point in their career. To help restore balance to their work and home lives, those suffering from burnout need to know what it is and how to identify it, as well as the most common ways individuals burn out. Those watching this video will learn resiliency-building tools and techniques, and they will be able to take actionable steps to improve their everyday life and make work manageable again. What you'll learn and how you can apply it Recognize signs of burnout in yourself and your team to promote workplace. Understand how individuals become overwhelmed. Implement burnout prevention techniques. Understand the importance of resilience and how to establish it. Launch immediate steps to avoid burnout. Establish boundaries in your life, to prevent burnout caused by external factors. Effectively bounce back from setbacks and stressors. This course is for you because... You're suffering from burnout or wanting to build better resilience. You're wanting to help someone else who is suffering from burnout.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 19, 2023)
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  • 70
    Language: English
    Pages: 1 online resource (1 video file (59 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Software architecture ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Join us for a special conversation with Neal Ford and Carola Lilienthal, where they will discuss how to make large improvements to your software architecture by measuring the amount of accidental complexity with the modularity maturity index (MMI). They'll dive into how the modularity maturity index (MMI) gives management and teams a guideline for deciding which software systems need to be refactored, which ones should be replaced, and which ones don't need to worry about so that you can find out which technical debt should be resolved so that the architecture becomes sustainable and maintenance becomes easier and less expensive. This is a chance for you to hear from Neal and Carola about software, architecture, and their own career journeys. We will spend a few minutes covering the trends that are influencing architecture and then tell you what you need to know to stay ahead of the curve. What you'll learn and how you can apply it What's coming next with Software Architecture This recording of a live event is for you because... You want the chance to hear from Neal Ford and Carola Lilienthal about methodologies to improve your software architecture. You are currently looking for ways to grow your own skills and to act as an innovator in your organization. Recommended follow-up: Read Software Architecture Metrics (book) Listen to Building Microservices, second edition (audiobook).
    Note: Online resource; title from title details screen (O'Reilly, viewed September 06, 2023)
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  • 71
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 28 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Software architecture ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Sponsored by Cockroach Labs Domain-driven design and event-driven architecture are inherently flexible and scalable, allowing organizations to build systems based on actual usage and needs. Well-built event-driven architectures maximize your system's responsiveness, performance, scalability, and elasticity, while domain-driven design helps you collaborate with domain experts, tapping into their existing mental models and consequently building deep insight into the problems you're trying to solve. Unfortunately, with all this power comes a fair amount of complexity--building an event-driven architecture and fully grokking domain-driven design are both really hard. But this event can help. Whether you're examining the viability of these concepts or trying to make the most of an ongoing implementation, these sessions offer expert guidance on maximizing their value to your organization. What you'll learn and how you can apply it Understand how to design, build, and evolve adaptive systems and team structures for a fast flow of change Learn what the future holds for event-driven architecture This live course is for you because... You're a software architect or developer working on or thinking about working on event-driven architectures and want to learn best practices. You want to learn more about domain-driven design (DDD) and the collaboration between developers and domain experts to ensure the right thing is built. Recommended follow-up: Read Learning Domain-Driven Design (book) Read Building Event-Driven Microservices (book) Watch Domain-Driven Design Distilled (video course).
    Note: Online resource; title from title details screen (O'Reilly, viewed September 06, 2023)
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  • 72
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 44 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.8
    Keywords: Computer networks Security measures ; Computer security ; Cyberterrorism ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This course will provide the foundational knowledge necessary to engage the vulnerability management team, support risk management, and collect data for risk assessments. Join expert Dean Bushmiller to learn the basis for scientifically defining and differentiating today's threats and vulnerabilities. Explore the best ways to identify and manage vulnerabilities using the CVE scoring system, the CAPEC system, the CWE system, and the MITRE ATT&CK matrix. What you'll learn and how you can apply it The components of vulnerabilities and threats and how to compare and contrast them The CVE vulnerability scoring system to prioritize actions The organization of the CAPEC system The root causes of hardware and software vulnerabilities Which vulnerability management system works with your environment How to interpret threat vulnerability reports and inform stakeholders This course is for you because: You're a professional looking to enter or advance in cybersecurity roles. You're a professional with cybersecurity as a component of your job description. You're a security analyst, vulnerability analyst, penetration tester, blue team technician, red team technician, network defense auditor, or risk assessor. Prerequisites: Equivalent knowledge of CompTIA Network+ certification Knowledge of the following: ports, protocols, services, OSI layers, routing, switching, IP addressing, wired and wireless networking infrastructure, network operations, and network troubleshooting tools. Recommended follow-up: Take Risk Management for Cybersecurity and IT Managers (video course with Jason Dion) Take System and Privacy Data Protection (video course with Aamir Lakhani).
    Note: Online resource; title from title details screen (O'Reilly, viewed October 11, 2023)
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  • 73
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 4 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.6782
    Keywords: Amazon Web Services (Firm) ; Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Sponsored by AWS It's no longer a question of whether your organization is moving to the cloud, but rather how fast you can move while ensuring security, visibility, control, and safety. If you're migrating to the cloud or already operating in the cloud, you want a secure and efficient way to manage and monitor your infrastructure and applications in the cloud, on premises, or in hybrid or multicloud environments. Join us for the third of three half-day online events in the AWS Observe and Operate series designed to showcase solutions for your observability and operations needs. The pressures to keep systems up and running with minimal disruption are increasing while applications, infrastructure, and services are being deployed at ever-increasing rates. The dynamic nature of modern applications and architectures is producing an explosion of siloed data and telemetry from multiple sources. Observability and operations professionals are being challenged to maintain SLOs and SLAs to achieve availability, reliability, and performance. In this third event in the AWS Observe and Operate series, we dive deep into key use cases for operations and observability and demo solutions as you set up alarms, detect anomalies, identify and analyze issues, build in proactive and reactive operational processes, and automate responses to issues in order to lower Mean Time To Resolution (MTTR), maintain availability and performance, prevent and mitigate operational issues, and optimize resources and infrastructure. We will show you how customers have used AWS services to apply Amazon best practices for observability and operations. Join this interactive event as we demo and answer your burning questions live! This course is for you because: You're a cloud engineer or architect responsible for managing and maintaining infrastructure and applications in your AWS, hybrid, or multicloud environment. You are responsible for monitoring systems and applications to ensure they run smoothly, and for identifying and resolving incidents quickly to minimize downtime and prevent disruptions. You want to improve MTTR, maintain high availability, and improve performance across your applications. What you'll learn and how you can apply it: Understand how you can use AWS to achieve your business and operational goals Learn how you can leverage AWS to improve system performance, enhance customer experience, and optimize cost Get best practices on setting up your operations and observability Prerequisites: Foundational knowledge of cloud and/or on-premises infrastructure and applications Recommended follow-up Watch AWS Observe and Operate: Manage Your Cloud Infrastructure and Modern Applications (video) Watch AWS Observe and Operate: Monitor Your Cloud Infrastructure and Modern Applications (video) Read AWS Observability Best Practices (AWS resource).
    Note: Online resource; title from title details screen (O'Reilly, viewed October 11, 2023)
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  • 74
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 37 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Database management ; Big data ; Data mining ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Sponsored by Redpanda Millions (if not billions) of touch points from customers, systems, and processes enter the average business's data stream every day. Farther down that stream, analysts, data scientists, and ML engineers take that data and use it to develop hypotheses, identify insights, feed learning models, and so much more. The job of the data engineer is to manage this lifecycle from initial generation through storage to ingestion, transformation, and finally serving the data, using tools like AWS, Azure, Google Cloud, Spark, Kafka, SQL, and many more. It's extremely important and no small feat. That's why data engineering is one of the fastest growing jobs--and why data engineers are employed by many of the most recognizable tech companies in the world, including IBM, Amazon, Microsoft, Apple, Google, and Facebook. Join experienced industry experts to learn how the data engineering lifecycle fits into the overall data lifecycle, explore the technologies you'll need to conquer along the path from generation to service, and better understand how to meet the needs of analysts, scientists, and ML engineers as well as the business stakeholders and customers driving decisions. What you'll learn and how you can apply it Discover how the data engineering lifecycle allows data professionals to design and build a robust architecture Standardize the process of ML model deployment and monitoring with MLOps Learn essential data preprocessing techniques crucial for harnessing the potential of LLMs This live course is for you because... You're a data engineer, ML engineer, or data scientist. You want to effectively approach the data lifecycle from ingestion to labeling to solving problems with machine learning. You want to learn more about prompt engineering and management to tame the inherent unpredictability of AI-generated outputs. Recommended follow-up: Read Fundamentals of Data Engineering (book) Read Designing Machine Learning Systems (book) Read Machine Learning Design Patterns (book).
    Note: Online resource; title from title details screen (O'Reilly, viewed October 10, 2023)
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  • 75
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 5 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Software architecture ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Sponsored by Cockroach Labs With an eye to the future, many organizations have made the move to microservices as a means of decomposing monolithic legacy systems. But what does a distributed system mean for delivering data? Join us to discover how understanding the intersection of software architecture and data can help you achieve new levels of velocity, agility, reliability, and efficiency. From the application of patterns to your machine learning systems to the rise of the data mesh architecture; there are now proven methods to simplify getting your company's data directly into the end users hands to accelerate business growth. If you're looking for ways to manage data as a software architect or developer, these sessions will help you learn what's involved so you can chart a course toward a successful solution. What you'll learn and how you can apply it Understand how to architect decentralized data systems Learn how to apply domain-driven design to your data Discover which software architecture issues you should consider when adopting and designing systems based on the NoSQL and distributed SQL databases This live event recording is for you because... You're a senior-level developer who wants to make the move to architect. You're a practicing software architect who wants to hone your skills and learn new software architecture techniques and practices. You want to better understand how to solve the unique problems of integrating data into your architecture. Recommended follow-up: Listen to Software Architecture: The Hard Parts (audiobook) Read Building an Event-Driven Data Mesh (book) Read Data Mesh (book).
    Note: Online resource; title from title details screen (O'Reilly, viewed November 15, 2023)
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  • 76
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 46 min.)) , sound, color.
    Edition: [First edition].
    DDC: 332.1/78
    Keywords: Data encryption (Computer science) ; Electronic funds transfers ; Blockchains (Databases) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Smart contracts extend the functionality of the blockchain by allowing programs to run on top of the distributed ledger. However, as smart contracts become more common and powerful, vulnerabilities in these contracts have far-reaching implications. Enroll in this course to learn about common smart contract vulnerabilities and how to identify and remediate them. What you'll learn and how you can apply it By the end of this course, you'll understand: The challenges of smart contract security. Common smart contract vulnerabilities via sample code and case studies. Best practices for mitigating common smart contract errors. Best practices for smart contract security. Key components of a smart contract security audit. And you'll be able to: Fully discuss common Smart Contract security issues. Describe how Smart Contract security impacts network security. Understand Smart Contract vulnerabilities, and remediation. Tactics on securing Smart Contracts preventing attacks. This course is for you because... You're interested in the distributed ledger emerging technology. You work in IT, and you want to understand the solutions Blockchain delivers. You want to add to your current skill set and become a leader in Blockchain and emerging technology. Prerequisites: Basic knowledge of web applications and the Internet.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 15, 2023)
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  • 77
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 11 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.6/6
    Keywords: Computer network protocols ; Packet switching (Data transmission) ; Protocoles de réseaux d'ordinateurs ; Commutation de paquets ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Packet analysis using Wireshark is one of the most critical hands-on skills to have as a security practitioner. It is also a versatile skill, spanning many facets of cybersecurity. If you read a technical report on network security, threat intelligence, or even application security, Wireshark is commonly used and referenced. Packet analysis and Wireshark are used in system administration, troubleshooting networks, incident response, and forensics. In this course, learners will learn the basics of packet analysis, looking at and understanding network traffic, and using real network traffic in exercises. Basics including network packet, the Open Systems Interconnection model (OSI) model, and a packet capture (PCAP) file will be introduced. Demonstrations include using Wireshark to reconstruct a conversation between two computers, extract pictures from a PCAP file, extract credentials that were sent insecurely on a network, and analyze maltraffic. What you'll learn and how you can apply it What a network packet is and how it encapsulates the OSI model The dangers of sending sensitive data unencrypted, "in-the-clear," over an open or untrusted network The difference between encoding and encryption And you'll be able to: Reconstruct files (e.g., images, video, audio, apps) from network traffic. Catch sensitive information (including usernames and passwords) from network traffic. Verify sensitive information without illegally logging into a system without permission. Filter network traffic by IP address(es), protocol, and even by strings. Analyze network traffic containing malware. This course is for you because... You're a software engineer or web developer who wants to know more on how things work on the network level. You're a security practitioner and want to understand how things (i.e., the network, network communications under the hood) really work -beyond just using security tools (e.g., Ettercap, Kismet, Xplico, NetworkMiner). You want to become a network engineer or specialist. You have aspirations to work in network security or threat intelligence. Prerequisites: Basic working knowledge of computers, including installing software, uploading and downloading content, hardware, and software Rudimentary knowledge of computer security concepts such as plaintext, encryption/decryption, malware.
    Note: Online resource; title from title details screen (O'Reilly, viewed Decenber 19, 2023)
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  • 78
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (57 min.)) , sound, color.
    Edition: [First edition].
    DDC: 650.1
    Keywords: Success in business ; Work-life balance ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: People want to thrive at work, which consumes so many of our waking hours.And yet they are often discouraged by setbacks and feel that they're just not smart enough to get ahead. In this course, you will learn that adopting a "growth mindset" can help reframe these unproductive ways of thinking, illuminate the upside of failure, and make you feel less stuck. You will also learn the important role that companies play in creating-or failing to create-an environment that nurtures a growth mindset. After this course, you will know the difference between a growth and fixed mindset and have several strategies in hand for pursuing growth at work and in your personal life. What you'll learn and how you can apply it The theory of a growth mindset and evidence supporting it How growth dovetails with or can become misaligned with the corporate good Barriers to the growth mindset and evidence about bureaucracy The most fertile corporate environments for growth and how to join them This course is for you because... You're curious about the notion of growth mindset and wondering if it can helpadvance your career. You're a manager or individual contributor curious about what a growth mindsetis and interested in furthering your career in a healthy corporate environment. Prerequisites: Prior knowledge from working at a business or corporation College or university education would be helpful.
    Note: Online resource; title from title details screen (O'Reilly, viewed October 11, 2023)
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  • 79
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (56 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.6782
    Keywords: Database management ; Big data ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Join us for this edition of O'Reilly Book Club with Joe Reis and Matt Housley, authors of Fundamentals of Data Engineering, to discover the stages of the data engineering lifecycle and learn to identify the various underlying components of the field, including security, data management, and orchestration. Hear from authors, learn tricks of the trade, and listen to stories. What you'll learn and how you can apply it Receive a concise overview of the data engineering landscape Learn how to evaluate the best technologies available through the framework of the data engineering lifecycle Understand data governance and security across the data engineering lifecycle This live event is for you because... You want to go beyond the words on the page and ask your own questions. You're a data engineer who wants to learn about the latest developments in the field. You're a current software engineer or data scientist who wants to transition into data engineering, or who may be doing some data engineering work in your current role. You're a data team manager who wants to understand how to better optimize your team and contribute positively to your organization. Recommended follow-up: Read Fundamentals of Data Engineering (book) Follow Data Engineering Resource Center (expert playlist).
    Note: Online resource; title from title details screen (O'Reilly, viewed October 11, 2023)
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  • 80
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 27 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Database management ; Big data ; Data mining ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This course introduces learners to the fundamentals of data engineering, and is closely related to material in the book Fundamentals of Data Engineering by Joe Reis and Matt Housley. The course is dedicated to teaching data engineering ideas and principles. The goal of this course is to expose students to core concepts and practices to introduce them to the data engineering career path. Further data engineering training can lead to a career in the discipline or allow students to apply data engineering concepts in their current role. The course covers the stages of the data engineering lifecycle (generation, ingestion, storage, transformation, serving) and the major undercurrents that cut across all stages (security, data management, orchestration, etc.) Learners will gain an understanding of the history of data engineering, current trends, and career prospects. What you'll learn and how you can apply it Understand the stages of the data engineering lifecycle Be able to identify the various underlying components of the field, including security, data management, and orchestration This course is for you because... You're a data engineer who wants to gain a broader understanding of data engineering. You may be familiar with specific tools or technologies, but you are looking for a more holistic, vendor agnostic understanding of data engineering practices. You're a software engineer or data scientist who wants to transition into data engineering, or who may even be doing some data engineering work in your current role. You're a data team manager who wants to understand how to better optimize their team and contribute positively to the organization as a whole. Prerequisites: Beginner understanding of the field of data Beginner to mid-level knowledge of cloud systems and databases.
    Note: Online resource; title from title details screen (O'Reilly, viewed Decenber 5, 2023)
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  • 81
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 8 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Sponsored by F5 and Orca Security Many organizations today find themselves in a hybrid or multicloud environment, whether they planned it or just stumbled into it. But juggling workloads across these complex architectures is an incredibly tricky business. From isolated silos to costly resource sprawl, the challenges are immense. The supercloud has arrived on the scene to help, providing a layer of abstraction on top and offering a consistent way to manage it all. However, there's a lot of mystery still swirling around about what the supercloud is exactly and how it works. Join our expert speakers as they shed light on the different approaches to managing combined or multiple private, public, and edge clouds. They'll demystify common terms and concepts, help you gain a better understanding of what these various cloud models look like in practice, and show you how to successfully plan for, deploy, monitor, and secure these complex cloud architectures of the future. What you'll learn and how you can apply itUnderstand the various cloud deployment models and the opportunities and challenges of combining different types of cloud services and infrastructure Learn how to prepare for the complexities of hybrid or multicloud systems and identify the best solutions for your business or professional needs This recording of a live event is for you because... You're a developer, architect, engineer, or decision maker working with complex cloud environments. You want to be able to manage or leverage multiple cloud services and stay up-to-date on the latest developments in cloud technologies. Recommended follow-up: Read Cloud Without Compromise (book) Read Hybrid and Multicloud Management (report) Watch Infrastructure & Ops Hour: Multicloud with Gregor Hohpe (video) Take Multicloud Strategy Choices and Trade-Offs (live online training with Rashmi Tambe and Sunit Parekh) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 20, 2023)
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  • 82
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 51 min.)) , sound, color.
    Edition: [First edition].
    Series Statement: Live courses
    DDC: 006.3/5
    Keywords: ChatGPT ; Natural language generation (Computer science) Computer programs ; Neural networks (Computer science) ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Sponsored by deepset Reaching a million users in less than a week, ChatGPT has ignited discussions about the potential of artificial intelligence to disrupt industries from law to academia, art to medicine. OpenAI and Google, Meta, and others are releasing large language models that are fueling innovations in the development of search engines, recommendation systems, and tools we use to generate content from text, images, and music to code and software. While the possibilities for new products and services built on these state-of-the-art AI systems are endless, business leaders and machine learning practitioners alike are searching for answers on how to get the most of these technologies for their work. Important questions are also emerging around the limitations and potential obstacles to integrating new large AI models such as ChatGPT into existing systems. Join our expert speakers to discuss these issues and learn how you can leverage ChatGPT and other large AI models to build new products, increase productivity, and more. What you'll learn and how you can apply it You're a current or future machine learning product owner or machine learning practitioner, or you're simply interested in the state of the art of artificial intelligence. You want to learn more about ChatGPT and other large AI models and how they will impact other technologies as well as nontechnological fields. This recording of a live event is for you because... Discover possibilities for ChatGPT and large language models Uncover pitfalls and avoid missteps as you integrate this new frontier in AI into organizations of all types Learn actionable suggestions on dealing with large datasets and data augmentation, various model architectures, domain adaptation, and inference challenges Recommended follow-up: Read Natural Language Processing with Transformers, revised edition (book) Follow ChatGPT (expert playlist) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 11, 2023)
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  • 83
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 40 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004/.33
    Keywords: Real-time data processing ; Database management ; Information visualization ; Information storage and retrieval systems ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Quickly collecting, analyzing, and visualizing data to make data-driven business decisions is imperative to building an effective data strategy--and to maintaining a competitive edge for your business. We can now do analytics that reflect data in near real time, enabling better and faster insights at the point of decision. We can also process and query new data faster than ever before, running hundreds of thousands of queries per second with added layers of cutting-edge analytical capabilities. So what does this mean for your organization? The ability to unlock faster, more actionable insights for all in real time. Join us to dive deeply into the modern world of real-time analytics. Data engineers, developers, and architects will explore the latest trends in real-time analytics--including modern data applications, streaming technologies, data architecture, and tools--straight from experts and practitioners successfully putting them to use in the field.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 13, 2023)
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  • 84
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 35 min.)) , sound, color.
    Edition: [First edition].
    Series Statement: Live courses
    DDC: 006.3/5
    Keywords: ChatGPT ; Natural language generation (Computer science) Computer programs ; Neural networks (Computer science) ; Plug-ins (Computer programs) ; Web applications Development ; Machine learning ; Machine learning ; Neural networks (Computer science) ; Plug-ins (Computer programs) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: You can accomplish a lot with ChatGPT just by typing commands into a website, but ChatGPT also exposes a REST API that makes it possible to embed its intelligence into your apps. Imagine writing tools that translate product manuals to other languages or convert VB.NET code to C#. Or what about putting a ChatGPT frontend on your company's SharePoint documents? The ChatGPT API makes all this possible. ChatGPT plug-ins are bits of code that tell ChatGPT how to use an external resource on the internet. They can direct ChatGPT to access up-to-date information, run computations, or use third-party services and to interact with APIs defined by developers, enhancing ChatGPT's capabilities and allowing it to perform a wide range of actions. Done right, they can help businesses provide exceptional customer experiences, increase sales, automate redundant tasks, enhance brand loyalty, and much more. Plug-ins represent an opportunity to build an "app store" for ChatGPT. Along with the ChatGPT REST API, they're the sweet sauce that infuses modern apps and sites with the wizardry that ChatGPT and large language models seem to be bringing to the forefront of computing today. Join Fixie.ai's Matt Welsh, Nicole Butterfield from O'Reilly and other leading experts in the field to learn more about these plug-ins and get in on the ground floor of this explosive new technology. What you'll learn and how you can apply it Explore current ChatGPT plug-ins and use cases Learn how to incorporate plug-ins into your developer workflow Get hands-on insights with rich interactive demos Understand the basics of REST API development This live course is for you because... You're a machine learning product owner or practitioner or a developer building new applications or products with state-of-the-art AI. You want to learn more about ChatGPT plug-ins and understand how they can enhance the tool's capabilities. Recommended follow-up: Read Natural Language Processing with Transformers, revised edition (book) Read Generative Deep Learning, second edition (book) Read Hands-On Generative AI with Transformers and Diffusion Models (book) Read "Serving" (chapter 8 in Reliable Machine Learning) (book) Follow ChatGPT (expert playlist) Read What Are ChatGPT and Its Friends? (report) Read RESTful Web API Patterns and Practices Cookbook (book) Read Mastering API Architecture (book) Read Developing Apps with GPT-4 and ChatGPT (early release book) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 26, 2023)
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  • 85
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 8 min.)) , sound, color.
    Edition: [First edition].
    DDC: 658.3
    Keywords: Personnel management ; Business ethics ; Employee morale ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Innovative, resilient, and high-performing teams all share a quality called "psychological safety." As a leader, you directly create your team's culture of psychological safety and determine whether people withhold or share vital information for fear of reprisal or ridicule, even in subtle ways. In so doing, you determine whether team members are forthcoming, trusting, and creative or fearful, worried, and reserved. The environment you create dramatically impacts team morale and performance. This course will define what psychological safety is and will explain how leaders can help foster it across different settings--one-on-ones, all-hands, remote work, and during times of organizational turmoil. It will show you ways you can model it directly as a leader through personal boundary-setting, and how it influences burnout. Learners will take away practical tips, tricks, and policies that will help model and cultivate psychological safety and inspire the best in their teams. What you'll learn and how you can apply it Understand what psychological safety is and why it is important to teams Cultivate psychological safety for a variety of teams in a variety of settings Maintain psychological safety while handling difficult management tasks, such as feedback or organizational change This course is for you because... You're a manager or leader in your organization and want to have a high-performing team. You've heard about this concept of "psychological safety" and want to know what it is, why it's important, and how to foster it in a team. You're moving into a management role and want to learn key management skills. Recommended follow-up: Fostering Ethical Conduct Through Psychological Safety (book).
    Note: Online resource; title from title details screen (O'Reilly, viewed August 3, 2023)
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  • 86
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 15 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Kubernetes ; Application software Development ; Computer programs ; Application program interfaces (Computer software) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: You've got your Kubernetes cluster up and running. . .so what's next? You can do much more with Kubernetes than just manage containers. These expert-led sessions will show you how. Join us to keep up with Kubernetes. You'll learn practical strategies and techniques (like how to build K8s into your own developer platform and how to use it on a public cloud), get insight into doing serverless on Kubernetes, and get a glimpse of what the future holds for this widely popular tool. What you'll learn and how you can apply it Understand the benefits and pitfalls of working with Kubernetes Learn how tooling can help with multicluster management This live event is for you because... You're a developer who wants to learn more about developer platforms built on top of Kubernetes so that you can have the tools you need when you need them. You want to use Kubernetes to benefit or improve reliability, velocity, security, and more. You want to learn more about MLOps and the Kubernetes tools ecosystem. Recommended follow-up: Read Kubernetes Up and Running, third edition (book) Explore Certified Kubernetes Application Developer (CKAD), second edition (video course) Watch GitOps and Kubernetes (video edition) Read Introducing MLOps (book) Watch Infrastructure and Ops Hour: Platform Engineering with Camille Fournier (video) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 19, 2023)
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  • 87
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (5 hr., 42 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.312
    Keywords: Data mining Mathematics ; Mathematics ; Machine learning Mathematics ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: With the availability of data, there is a growing demand for talent who can analyze and make sense of it. This makes practical math all the more important because it helps infer insights from data. However, mathematics comprises many topics, and it is hard to identify which ones are applicable and relevant for a data science career. Knowing these essential math topics is key to integrating knowledge across data science, statistics, and machine learning. In this course, learners will delve into a carefully curated list of mathematical topics to jumpstart proficiency in areas of mathematics that they will be able to apply immediately. They will grasp the fundamentals of probability, statistics, hypothesis testing, linear algebra, linear regression, classification models, and practical calculus. Along the way they will integrate this knowledge into practical applications for real-world problems. What you'll learn and how you can apply it Gain a fundamental grasp of calculus, linear algebra, probability, statistics, and supervised machine learning. Apply mathematical fundamental principles in Python using standard mathematical libraries like NumPy and SymPy. Integrate multiple applied mathematical disciplines like linear algebra and calculus to perform tasks like gradient descent. This course is for you because... You're a budding data science professional who wants to build foundational knowledge in essential math concepts and how they apply to probability, statistics, and machine learning. You're a programmer using data science and machine learning libraries and want to understand the math and probability principles behind them. You're managing a data science team and want to have a fundamental understanding of techniques used on the field. Prerequisites: Beginner knowledge of Python (if-then conditionals, for loops, lists and other collections).
    Note: Online resource; title from title details screen (O'Reilly, viewed September 19, 2023)
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  • 88
    Language: English
    Pages: 1 online resource (1 video file (55 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning Development ; Machine learning ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Join us for this edition of O'Reilly Book Club with Chip Huyen, author of Designing Machine Learning Systems. You'll learn more about the complex and quickly evolving components of current machine learning systems and how best to ensure your systems are scalable, reliable, and taking advantage of the developing technologies in the field. Ask questions, learn tricks of the trade, listen to stories, and connect with other readers. What you'll learn and how you can apply it Discuss the challenges you're facing and discover opportunities for building machine learning systems for industry Learn tips for developing reliable, scalable, and adaptive machine learning systems for changing environments and business requirements This live course is for you because... You want to go beyond the words on the page and hear directly from the subject matter expert. You're a data scientist, data/machine learning engineer, machine learning architect, or software engineer who is building systems on top of AI models. Recommended follow-up: Read Designing Machine Learning Systems (book) Read Machine Learning Interviews (early release book) Read Machine Learning Design Patterns (book) Watch Designing Machine Learning Systems (Superstream video) Follow AI Superstream: Designing Machine Learning Systems (expert playlist) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 05, 2023)
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  • 89
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 5 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: The development and release of ChatGPT and other state-of-the-art large language models (LLMs) has renewed interest in the concept of AI agents, a term that evokes a range of assumptions about their potential as applications to independently automate many tasks along with the risks they present if not constrained. In simple terms, an AI agent is an AI entity that is given a description of a task, autonomously retrieves the tools it needs to execute the task, and then executes it. In this event, our third in an ongoing series of special events on ChatGPT, LLMs, and generative AI, we©³℗Ø©²?©²?ll discuss the different types of AI agents and how the latest large AI models are making these AI agents more powerful than ever. Integrating these AI agents into your products and services presents some challenges that aren©³℗Ø©²?©²?t usually of concern for web-based ML models. These include how to design a good interface that can take user inputs, show the inferences and communicate the progress, logging costs through each step and monitoring the performance while understanding user preferences, editing plans, etc. Our experts will present some of the tools you need to create your own AI agents and show you how they can help your organization achieve higher levels of efficiency and productivity by making AI your assistant. What you©³℗Ø©²?©²?ll learn and how you can apply it: Explore the different types of AI agents and when and how to use them Understand which agents to use based on your particular use case©³℗Ø©²?©²?for example, reasoning-based agents versus sufficiency agents versus delegation agents Understand the limitations of AI agents and how to contain the scope of their work Learn about the latest tools that have been developed to help you build your own AI agent This live course is for you because: You©³℗Ø©²?©²?re curious about AI agents and how they can help your organization. You©³℗Ø©²?©²?re interested in knowing how others are using AI agents and the tools that are being developed to enable developers to create and use them. You©³℗Ø©²?©²?re interested in exploring whether to build your own agents or use proprietary services like Cognosys. Recommended follow-up: Read Designing Autonomous AI (book) Read Generative Deep Learning, second edition (book) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 05, 2023)
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  • 90
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (56 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Software engineering ; Computer software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Join us for this edition of O'Reilly Book Club with Maximiliano Contieri, author of Clean Code Cookbook, to learn how to go beyond the concept of clean code to identify improvement opportunities and their impact on production code. Ask questions, learn tricks of the trade, listen to stories, and connect with other readers. What you'll learn and how you can apply it Understand the benefits of clean code and how to detect code smells Learn refactoring techniques step-by-step Gain illustrative code examples in several modern programming languages This live event recording is for you because... You want to go beyond the words on the page and hear directly from the author. You're a software engineer or architect who needs to scale and maintain large systems. Recommended follow-up: Read Clean Code Cookbook (book).
    Note: Online resource; title from title details screen (O'Reilly, viewed Decenber 19, 2023)
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  • 91
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 53 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: TensorFlow ; Machine learning ; Neural networks (Computer science) ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: TensorFlow ( tf ) is a mainstream software platform for data science, data engineering, and MLOps. Maintained by Google and the community, this open source platform has facilitated many of the dramatic advances in AI over the past ten years. TensorFlow is used extensively across academia and industry, and is one of the most prominent tools in a data scientist's utility belt today. In this course you'll learn about TensorFlow itself and how to use it in your daily work. What you'll learn and how you can apply it Understand the TensorFlow platform and the roles of its components Use TensorFlow to accomplish typical data science tasks: model training, optimization, inference, serving, monitoring and more Gain a working knowledge of TensorFlow APIs This course is for you because... You're a software engineer familiar with Python and would like to learn TensorFlow. You're a data scientist who knows Python and wants to diversify your tools. You want to become more proficient at machine learning with TensorFlow. TensorFlow is an adjacent technology that you would like to understand better. You want to use TensorFlow to build machine learning models. You want to get hands-on with TensorFlow and build and train a machine learning model. Prerequisites: Working knowledge of Python Data science experience a plus but not necessary Familiarity with NumPy a plus but not necessary Basics of machine learning a plus but not necessary An understanding of statistics and mathematics a plus but not necessary Familiarity with deep learning a plus but not necessary Recommended follow-up Learning TensorFlow (book) TensorFlow for Deep Learning (book) Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition (book) Designing Data-Intensive Applications (book) Fundamentals of Data Engineering (book).
    Note: Online resource; title from title details screen (O'Reilly, viewed Decenber 19, 2023)
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  • 92
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 52 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Cloud computing Study guides Examinations ; Electronic data processing personnel Study guides Certification ; Infonuagique ; Examens ; Guides de l'étudiant ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: If you're an IT professional today, you need to know the basics of cloud computing regardless of the role you're in. The AWS Cloud Practitioner certification is one of the most sought-after certifications and the perfect first step to gaining basic fluency with cloud concepts and with the AWS platform, one of the world's leading cloud providers. This on-demand video course covers all of the topics you'll need to know to pass your exam and become an AWS Certified Cloud Practitioner, including serverful, serverless, organizations, support and budgets, identity and access management (IAM), encryption, the well-architected framework, the shared responsibility model, as well as the basics of Elastic Compute Cloud (EC2), networking, Simple Storage Service (S3), and more. What you'll learn and how you can apply it Basic cloud computing concepts The economics and security of the AWS Cloud The AWS landscape of services, so that you'll be prepared to sit for the AWS Certified Cloud Practitioner exam This course is for you because... You need to communicate at a high level about cloud and AWS concepts You want to gain fluency in the cloud You want to tackle any of the role-based certifications offered by AWS.
    Note: Online resource; title from title details screen (O'Reilly, viewed Decenber 19, 2023)
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  • 93
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (57 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Join host George Anadiotis and guest Evan Sparks, chief product officer of AI at Hewlett Packard Enterprise, who'll discuss the AI chips and new AI hardware that will enable the latest AI-powered systems to run more efficiently and effectively. AI chips provide an advantage over general-purpose processors for AI systems that require exponentially larger volumes of data and computational power. Generative AI and new models like ChatGPT, GPT-4, and others have migrated beyond the AI field into the general public. At the same time, the creators of AI chips, which enable practitioners to train and deploy these models, are equally engaged in a somewhat lesser-known effort: the race to produce the best hardware to support these powerful AI systems. Join George and Evan to discuss how AI chips are becoming the backbone of new AI systems, and hear their thoughts on the state of AI chips today and the developments to look for in the near future. What's New in AI gives you a chance to hear from leading minds in the field on topics such as generative AI, large language models, responsible AI, AI hardware, and other developments as they appear. Host George Anadiotis, founder of Linked Data Orchestration, and members of O'Reilly's community of experts help you make sense of the bigger picture in AI and leverage emerging AI technologies to solve your organization's most challenging problems. What you'll learn and how you can apply it Understand the advantages of these new hardware technologies and the types of applications and systems they can power Learn about different AI chip architectures and what each brings to the tableExplore how to evaluate the options Discuss the role of software stacks in abstracting different AI chips or integrating them tightly in your applications Learn about the changing terrain of AI hardware vendors and service providers This recording of a live event is for you because... You're a data scientist, machine learning engineer, machine learning architect, leader, or practitioner who designs, develops, and deploys machine learning systems. You want to keep up-to-date on the latest developments and breakthroughs in the field of AI. Prerequisites A basic understanding of machine learning systems Recommended follow-up: Read "Infrastructure and Tooling for MLOps" (chapter 10 in Designing Machine Learning Systems) Watch "Energy-Efficient AI and High-Performance Computing Data Centers" (event segment video) Watch Fast and Lean Data Science with TPUs (video).
    Note: Online resource; title from title details screen (O'Reilly, viewed October 11, 2023)
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  • 94
    Language: English
    Pages: 1 online resource (1 video file (57 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Join host George Anadiotis and guest Beena Ammanath, who is Executive Director of the Global Deloitte AI Institute and leads Trustworthy Tech Ethics at Deloitte, for a discussion about the importance of responsible, ethical, and trustworthy AI. AI systems are built on ever-growing large sets of data and have increasingly complex capabilities, especially those powered by large language models and other generative AI tools. Their potential impact on society is just beginning to unfold. The need to proactively develop Trustworthy AI is becoming crucial for AI leaders and practitioners. Although the regulatory framework around AI is a work in progress, the benefits of Trustworthy AI for every organization are orthogonal to regulation. This event is for anyone who is interested in learning more about how to develop AI systems that provide services and solve our complex problems in ways that mitigate the potential and unintended harms that could arise. What's New in AI gives you a chance to hear from leading minds in the field on topics such as generative AI, large language models, responsible AI, current regulations, and other developments as they appear. Host George Anadiotis, founder of Linked Data Orchestration, and members of O'Reilly's community of experts help you make sense of the bigger picture in AI and leverage emerging AI technologies to solve your organization's most challenging problems. What you'll learn and how you can apply it Learn about current techniques and approaches to doing trustworthy AI Understand the risks involved in building increasingly powerful AI systems Discover the future of the AI regulatory landscape This live event is for you because... You're a data scientist, machine learning engineer, machine learning architect, leader, or practitioner who designs, develops, and deploys machine learning systems. You want to keep up-to-date on the latest developments and breakthroughs in the field of AI. Recommended follow-up: Read Trustworthy AI (book) Read Machine Learning for High-Risk Applications (book) Read Explainable AI for Practitioners (book) Read Practicing Trustworthy Machine Learning (book).
    Note: Online resource; title from title details screen (O'Reilly, viewed Decenber 19, 2023)
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  • 95
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 53 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Agile software development ; Computer software Development ; Méthodes agiles (Développement de logiciels) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Agile development is not really about being fast, but about getting into a rhythm with sustainable speed so we can deliver continuously. Among other things, agile development requires creating high quality code and lightweight design. Often, a lack of or inadequate automated testing makes it hard to respond to change. Automated testing provides two significant benefits: regression and better design. However, writing tests mechanically will not automatically give us design benefits. This course focuses on how to use automated tests to drive the design of applications. We start with learning about strategic design and then dive into tactical design issues influenced by automated tests. We learn about both test and design quality, how to maintain a good code coverage, and the essential principles for creating lightweight design. Along the way we will discuss how to bring in design patterns and also measure the quality of design. What you'll learn and how you can apply it Learn how to build software from start to finish. Learn how to use automated tests to design applications Learn about strategic design and how to use design patterns Learn how to dive into tactical design issues influenced by automated tests Learn how to maintain a good code coverage Learn the essential principles for creating lightweight design Learn how to measure the quality of design. This course is for you because... You're a programmer, group leader, hands-on architect, or a technical manager. You work with code that requires high quality design and needs to be extensible. You want to become a better developer or leader of a team that develops industrial strength software. Prerequisites: Strong programming knowledge and experience, in any language, though Java will be used in the examples. Some experience with design principles and patterns is helpful but not required.
    Note: Online resource; title from title details screen (O'Reilly, viewed Decenber 19, 2023)
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  • 96
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 24 min.)) , sound, color.
    Edition: Revised edition.
    DDC: 006.3/5
    Keywords: Natural language processing (Computer science) ; Machine learning ; Cloud computing ; Traitement automatique des langues naturelles ; Apprentissage automatique ; Infonuagique ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Sponsored by deepset Join us for this edition of O'Reilly Book Club with Lewis Tunstall and Leandro von Werra, authors of Natural Language Processing with Transformers, to learn how transformers, which are the backbone of the state-of-the-art LLM models in the field today, work and how to integrate them in your applications. Bringing insights from their experience working at Hugging Face, Lewis and Leandro will discuss the benefits and challenges of training your own model, scaling, and deploying it for your system. Learn tricks of the trade, listen to stories, and gain new insights. What you'll learn and how you can apply it Learn about a variety of NLP tasks transformers can help you solve Understand how transformers can be used for transfer learning Learn about building, debugging, and optimizing transformer models This live event is for you because... You want to go beyond the words on the page and ask your own questions. You're a data scientist, machine learning engineer, or developer who is working with AI and machine learning and want to learn about the latest developments in the field. Recommended follow-up: Read Natural Language Processing with Transformers, Revised Edition (book) Read Hands-On Large Language Models (early release book) Read Hands-On Generative AI with Transformers and Diffusion Models (early release book) Read Introduction to Transformers for NLP: With the Hugging Face Library and Models to Solve Problems (book) Watch Natural Language Processing Using Transformer Architectures (video).
    Note: Online resource; title from title details screen (O'Reilly, viewed November 1, 2023)
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  • 97
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 14 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Software architecture ; Architecture logicielle ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: About Architectural Katas: What could be better than practicing software architecture with your handpicked dream team of architects? Participants in Architectural Katas, moderated by Neal Ford, work together in small groups of their choosing to solve a challenge an actual organization is facing. Everyone gets the chance to practice their craft with a real software architecture problem in a safe and social environment, and the finalists and winners earn well-deserved bragging rights (not to mention an intriguing line on their résumé). Plus a selected organization will have some of its gnarliest software architecture problems solved. How it works: You put together a first-rate team of three to five people, ready to tackle an architecture challenge. We'll share the architecture problem with you at the kickoff. Then your team will have to solve it, working in whatever way is best for you (video calls, group chat, shared docs, etc.). Teams will submit their solutions and reconvene at the semifinals to find out which will move on to the finals. At the finals, the teams will submit video presentations and the audience will vote on the winner. Series schedule: Event 1: Kickoff - October 19, 2023 Meet the judges, hear all the details on how Architectural Katas works, learn more about the software architecture problem you'll be solving, and get the chance to ask Neal any questions you may have. Event 2: Semifinals and Architectural Presentation - November 14, 2023 Get a master class on presentation skills and learn how to successfully showcase software architecture plans to developers and stakeholders (and judges). You'll also find out the top teams that will submit their video presentations for the final event. Event 3: Finals - December 4, 2023 The top teams' videos are shown, judges provide feedback, attendees vote for their favorite, and judges announce the winner. What you'll learn: Identify and design architectural components Explore techniques to analyze and select the right architecture patterns Learn how to diagram and document an architectural solution Develop better communication skills to champion architecture decisions to developers and stakeholders This event is for you if... You're a senior-level developer who wants to make the move to architect. You're a practicing software architect who wants to hone your skills and learn new software architecture techniques and practices. You're responsible for creating a software architecture for your company, and you want to practice with a real-world challenge. Recommended follow-up: Read Fundamentals of Software Architecture (book) Read Building Microservices, second edition (book) Read Building Evolutionary Architectures (book) Read Building Event-Driven Microservices (book).
    Note: "Live courses.". - Online resource; title from title details screen (O'Reilly, viewed November 1, 2023)
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  • 98
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 10 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/5
    Keywords: ChatGPT ; Natural language generation (Computer science) ; Neural networks (Computer science) ; Artificial intelligence ; Génération automatique de texte ; Réseaux neuronaux (Informatique) ; Intelligence artificielle ; artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Within four months of launch, ChatGPT reached over 100 million users. This is the fastest for any app--ever. ChatGPT has quickly become mainstream and has also turned into a high priority for many companies. For example, Desirée Gosby, the vice president of emerging technology at Walmart Global Tech, has noted that generative AI is "as big a shift as mobile." For many developers, having an understanding of ChatGPT and other generative AI technologies wil be critical. This course will show you how to use the ChatGPT API to create compelling generative AI apps. It will begin with a backgrounder on the key concepts of the technology, such as understanding large-language models (LLMs), transformers, prompt engineering and zero-shot and few-shot learning. Then the course will explore how the ChatGPT API works before demonstrating how to set up the system and environment. You'll also get to see demos of several apps using the ChatGPT API. The course wraps up with a look at plugins and automation for the ChatGPT API. What you'll learn and how you can apply it How generative AI models work, their uses cases, benefits and risks How to set up the ChatGPT API The background elements of this technology like prompt engineering, embeddings, fine tuning, and zero-shot/no-shot learning How to develop various applications, such as to detect sentiment, create blogs and translate languages How ChatGPT plugins work This course is for you because... You're a data scientist or a data engineer and want to learn how to leverage the ChatGPT API. You're a software engineer or developer and are looking for a new job role in generative AI. You're a software engineer and developer and want to see how you can integrate ChatGPT technology into your current system. You're a founder or work at a startup and want to see how to use generative AI. Prerequisites: Intermediate understanding of Python development Intermediate understanding about how to write APIs using Python Intermediate understanding of how to use Jupyter Notebook.
    Note: Online resource; title from title details screen (O'Reilly, viewed November 1, 2023)
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  • 99
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (57 min.)) , sound, color.
    Edition: Second edition.
    DDC: 005.1
    Keywords: Computer software Development ; Object-oriented methods (Computer science) ; Software patterns ; Java (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Join us for this edition of O'Reilly Book Club with Eric Freeman and Elisabeth Robson, authors of Head First Design Patterns, to learn how you can exploit the wisdom and experience of other developers who've traveled the same design-problem road and survived the trip. Eric and Elisabeth discuss the use and benefits of design patterns and tell you how to recognize places in your designs and existing applications where you can apply a myriad of tried-and-true solutions. With patterns, you get experience reuse instead of code reuse. What you'll learn and how you can apply it Learn how some problems have already been solved with design patterns Apply design patterns in your own code This recording of a live event is for you because... You're looking to discover how design patterns can streamline your work. You want to go beyond the words on the page and hear from the authors. You want to learn from other developers. Recommended follow-up: Read Head First Design Patterns, second edition (book) Attend Design Patterns Boot Camp (live online training with Eric Freeman and Elisabeth Robson).
    Note: Online resource; title from title details screen (O'Reilly, viewed April 11, 2023)
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  • 100
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (50 min.)) , sound, color.
    Edition: [First edition].
    DDC: 001.4/226
    Keywords: Tableau (Computer file) ; Information visualization Computer programs ; Visual analytics Data processing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: What you'll learn and how you can apply it Explore contemporary tools and techniques in data visualization for better business decision-making Learn best practices for data visualization and storytelling that you can apply to your work today Build data visualizations that provide actionable insights from complex sets of data Develop an interactive, functional dashboard for end users to use while incorporating the best visualization and graphic design principles This recording of a live event is for you because... You're a data advocate within your organization who wants to tell data's story through the creation of compelling data visualizations. You're an analyst or decision-maker who wants to hone your skills and learn new data visualization techniques and best practices. You're a business intelligence specialist for your company, and you want to practice your craft with a real-world challenge. Recommended follow-up: Read ColorWise (book) Read Fundamentals of Data Visualization (book) Read Tableau Strategies (book) Read Mastering Salesforce Reports and Dashboards (book) Read Practical Tableau (book) Read Hands-On Data Visualization (book) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.
    Note: Online resource; title from title details screen (O'Reilly, viewed May 11, 2023)
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