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  • O'Reilly 〈Firm〉,  (276)
  • Vugt, Sander van  (23)
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  • Internet videos  (310)
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  • 1
    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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  • 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., 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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  • 3
    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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  • 4
    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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  • 5
    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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  • 6
    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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  • 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
    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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  • 9
    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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  • 10
    Online Resource
    Online Resource
    [Place of publication not identified] : Pearson
    ISBN: 9780135313022 , 0135313023
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 26 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.4/32
    Keywords: Kubernetes ; Application software Development ; Computer programs ; Logiciels d'application ; Développement ; Logiciels ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Sneak Peek The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 6, 2024)
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  • 11
    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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  • 12
    Online Resource
    Online Resource
    [Place of publication not identified] : Pearson
    ISBN: 9780138293321 , 0138293325
    Language: English
    Pages: 1 online resource (1 video file (11 hr., 48 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.4/46
    Keywords: Linux ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Become a Linux power user! Overview: Learn the ins and outs of Linux Internals and discover what makes Linux the most powerful operating system Get under the hood and understand how Linux really works Perform in-depth practical investigations of key Linux functionalities Linux Under the Hood offers an extensive exploration of how Linux functions, allowing you to fully harness its capabilities. Familiarizing yourself with Linux internals will allow you to surpass mere commands and gain valuable insights to optimize your use of Linux. The first module dives into a deeper understanding of Linux architecture; you will learn about the inner workings of key Linux components like the kernel, systemd, and the Linux boot procedure. The following module will focus on storage and filesystems, encompassing local devices as well as cloud and datacenter storage solutions. Next, we will cover core components, including memory, processes, and the intricacies of command execution. Finally, we will explore Linux's evolution into a container-based platform. Each lesson concludes with a real-world scenario, where Sander demonstrates the practical implementation of various features explained in the lesson videos. Sign up for live training classes by Sander van Vugt: Linux Under the Hood (Updated) If you believe your knowledge of the Linux operating system is limited, you can start with Sander's Linux Fundamentals, 2 nd edition video course. About the Instructor: Sander van Vugt has many years of experience working with, writing about, and teaching Linux and Open-Source topics. He is the author of the best-selling Red Hat RHCSA and RHCE Cert Guides as well as a number of other titles on Kubernetes (including CKAD and CKA), Ansible, Containers, Bash, Microservices, and more. Sander also works as a Linux and DevOps instructor, teaching onsite and online classes for customers around the world. Skill Level: Intermediate to advanced Course requirement: Learners are expected to have basic working knowledge of the Linux operating system. Learners should prepare one virtual or physical machine with any Linux distribution; hardware specs are not important. To make it easy to follow along with the instructor, it is recommended (but not required) to install either the latest version of Ubuntu LTS (either workstation or server edition) or the latest CentOS Stream or equivalent. Who Should Take This Course: The target audience for this course consists of people that have used Linux for a while and who want to know what it really is doing. The typical primary audience consists of system administrators. The secondary audience consists of operating system students and others who want to know how Linux works. About Pearson Video Training: Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Sams, and Que. Topics include: IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 20, 2024)
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  • 13
    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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  • 14
    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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  • 15
    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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  • 16
    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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  • 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 (3 hr., 29 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Software engineering ; Computer software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Software development is increasingly central to a business’s identity. But as the complexity of the practice grows, the demand is high for developers who operate at a senior level. And the rise in generative AI tools means that even expert developers must recalibrate how they work to keep up with the pace of development. Join us to level up your skills and accelerate your journey to senior software engineer. These in-depth sessions cover some of the biggest challenges facing software developers today, teaching you practical methods and best practices to improve coding and software design, better manage data, mentor new engineers, and collaborate with your team.
    Note: Online resource; title from title details screen (O’Reilly, viewed March 20, 2024)
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  • 20
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 33 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.4/37
    Keywords: User interfaces (Computer systems) Testing ; User-centered system design ; Web sites Design ; Conception participative (Conception de systèmes) ; Sites Web ; Conception ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: In an ideal world, usability testing might be considered exclusively the job responsibility of UX designers or researchers. However, for many of us and for various reasons, that just isn’t a reality. No matter what the situation is, running basic usability tests is something everyone is completely capable of—and it comes with the bonus of making us better at our own jobs, as well, by better understanding our users. In this course, we’ll discuss finding participants, thinking through the testing logistics, writing and facilitating a usability test, and reviewing the data. Each learner will get the chance to write a usability testing script for a feature in their own website or application that they’d like to test. Then, they’ll be challenged to practice usability tests with those scripts to get hands-on experience facilitating tests. Learners will leave this course feeling empowered and confident to start a usability testing program at their own workplace!
    Note: Online resource; title from title details screen (O’Reilly, viewed March 19, 2024)
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  • 21
    Online Resource
    Online Resource
    [Place of publication not identified] : Pearson
    ISBN: 9780135338698 , 0135338697
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 55 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.4/3
    Keywords: Virtual computer systems ; Systèmes virtuels (Informatique) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: The Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing.
    Note: Online resource; title from title details screen (O’Reilly, viewed March 19, 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 (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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  • 23
    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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  • 24
    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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  • 25
    Language: English
    Pages: 1 online resource (1 video file (54 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3028/7
    Keywords: Software measurement ; Computer software Evaluation ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: With engineering leaders under increasing pressure to quantify engineering performance, there’s no shortage of opinions or frameworks suggesting which engineering metrics matter most. Join Peter Bell, CTO of Rare Talent, and guests for a discussion about how to select the metrics that matter for your organization’s success. Through this expert panel discussion, you’ll learn why selecting engineering metrics is so challenging, what considerations and trade-offs should be taken into account, the problems with commonly used metrics, and how to have more productive conversations about how metrics relate to executives’ key business goals. CTO Hour is a quarterly live event that brings together a panel of senior engineering leaders to discuss with expert and host Peter Bell how they’ve approached timely technology or business challenges. This dynamic event features ample time for questions. Active and aspiring senior leaders will learn valuable insights from top VPs and CTOs and ultimately be prepared to make better-informed decisions as heads of technology.
    Note: Online resource; title from title details screen (O’Reilly, viewed March 20, 2024)
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  • 26
    Online Resource
    Online Resource
    [Sebastopol, California] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (58 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Natural language processing (Computer science) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Join host George Anadiotis and guest Eric Xing, for a discussion about the current and expanding field of open-source large language models and how they are impacting the development of generative AI. We’ll cover technical aspects, as well as the business and policy concerns related to open-source LLMs.
    Note: Online resource; title from title details screen (O’Reilly, viewed March 20, 2024)
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  • 27
    Online Resource
    Online Resource
    [Sebastopol, California] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 23 min.)) , sound, color.
    Edition: [First edition].
    DDC: 658.5/14
    Keywords: Business enterprises Information technology ; Management ; Technological innovations ; Strategic planning ; Organizational change ; Entreprises ; Technologie de l'information ; Gestion ; Innovations ; Planification stratégique ; Changement organisationnel ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Build A Data Strategy to Create Iron-Clad Profit Performance is an online course and toolkit for data professionals who want to get unstuck and up-leveled into their next promotion by delivering fail-proof data strategy plans for their data projects. Learners need to have some degree of mastery with respect to data technologies and skill sets. They don’t need to know how to build every type of data / data science / data engineering solution under the sun, but they should have a firm understanding of at least data analytics, data science, data management or data engineering.
    Note: Online resource; title from title details screen (O’Reilly, viewed March 19, 2024)
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  • 28
    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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  • 29
    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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  • 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: 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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  • 31
    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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  • 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: 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)
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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 (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)
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  • 34
    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)
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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 (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
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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 (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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  • 37
    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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  • 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: 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)
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  • 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: 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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  • 40
    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)
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  • 41
    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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  • 42
    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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  • 43
    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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  • 44
    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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  • 45
    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)
    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 (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)
    Library Location Call Number Volume/Issue/Year Availability
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  • 47
    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
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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 (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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  • 49
    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
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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 (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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  • 51
    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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  • 52
    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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  • 53
    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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  • 54
    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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  • 55
    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)
    Library Location Call Number Volume/Issue/Year Availability
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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 (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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  • 57
    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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  • 58
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 12 min.)) , sound, color.
    Edition: [First edition].
    DDC: 334
    Keywords: Cooperation ; Professional corporations ; Success in business ; Industrial management ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Today's competitive work environment means that insular approaches to work are no longer sufficient. There is a need to work together in ways that give an edge in navigating uncertainty, generating innovative ideas, and embracing new ways of working. When we integrate diverse perspectives, we gain the ability to push past the status quo and become the innovators organizations need. This course will help participants develop interpersonal skills, improve work base outcomes, and embed leadership skills that can facilitate quicker turnaround times, organizational scalability, lower costs, a flexible and creative culture. Join Zina O'Leary on this online course as she helps you develop key collaboration skills that will be applicable throughout your career. What you'll learn and how you can apply it Work with new perspectives in order to generate new ideas and reach better solutions Lead more effectively from the front, the side, and behind Listen in a more active and non-defensive way Build trusting, safe environments Facilitate and contribute to brainstorming Better move ideas into action Engage in conflict resolution Become more transparent and accountability This course is for you because... You're an individual contributor interested in collaborating and more effectively within an organization. You manage a team and you need to be able to facilitate collaborative teams that work well together. You're a leader within your organization and you want to increase trust, credibility, and effectiveness across the organization. You want to be part of creating an enduring collaborative culture that fosters sustainable success.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 19, 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 (1 hr., 19 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.74
    Keywords: Blockchains (Databases) ; Cryptocurrencies ; Metaverse ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: The Web3 promise: Internet of value, distributed networks driving community participation, users managing their own data. What you'll learn and how you can apply it By the end of this course, you'll understand: The basics of Web3. The essentials of Tokenomics. The technical structure of Web3. How to adapt the technology for your needs. Several Web3 business use cases. And you'll be able to: Describe and leverage Web3 technologies. Understand Web3 business use cases: Internet-of-Value, Decentralized Finance, and more. Understand Web3 benefits, challenges, and its future. 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. Recommended follow-up Getting Started with Blockchain and Cryptocurrency (video course) Practical Blockchain and Cryptocurrency (video course) Understanding Crypto Currencies, Bitcoins, and Blockchains (video course) Blockchain Applications and Smart Contracts: Developing with Ethereum and Solidity (video course) Certified Blockchain Developer--Hyperledger Fabric (CBDH) (video course) Introduction to Blockchain for Azure Developers: Understanding the Basic Foundations of Blockchain (video course) Architecting Blockchain Solutions (video course) Introduction to Blockchain Applications (video course) Introduction to Blockchain Technology (video course) Meet the Expert: Blockchain Best Practices with John Hargrave and Evan Karnoupakis (video interview) Bitcoin, the Blockchain, and Their Potential to Change Our World (video course) Complete Cryptocurrency & Blockchain Course Learn Solidity (video course) Solidity Smart Contracts: Build DApps in Ethereum Blockchain (video course) Blockchain in Swift: Decentralized iOS Programming (video course) Ethereum Fundamentals (video course) Blockchain and Regulation: Privacy, Laws, Taxation and More (video course) Create Your First DApp on Ethereum - A Concise Tutorial (video course).
    Note: Online resource; title from title details screen (O'Reilly, viewed November 15, 2023)
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  • 60
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 40 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Software architecture ; Blockchains (Databases) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: The Algorand Developer program allows you to demonstrate the knowledge to develop and maintain client applications and smart contracts using the latest Algorand programming model. Learners will understand Algorand fundamentals. Learners will also gain knowledge of the Algorand network and protocols. What you'll learn and how you can apply it By the end of this course, you'll understand: Algorand Network basics Algorand Protocols and Governance How to develop applications on Algorand and the developer environment Algorand Smart Contracts Algorand Software Developer Kits (SDKs) And you'll be able to: Understand Algorand application solutions. Set up an Algorand developer environment. Use Algorand APIs and software developer kits (SDKs) to build applications. 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 Decenber 19, 2023)
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  • 61
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 50 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.74
    Keywords: Blockchains (Databases) ; Computer software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: The Certified Hedera Hashgraph Developer (CHHD) program allows candidates to demonstrate the knowledge to develop and maintain client applications and using the latest Hedera programming model. Learners will gain knowledge of the Hedera network and protocols. Learners will also gain an understanding of the Hedera fundamentals. What you'll learn and how you can apply it By the end of this course, you'll understand: Hedera Network basics Hedera Protocols and Governance How to develop applications with Hedera Network Services Hedera Software Developer Kits (SDKs) Hedera Community Resources And you'll be able to: Understand Hedera application solutions. Set up a Hedera developer environment. Use Hedera APIs and software developer kits (SDKs) to build applications. 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 Decenber 19, 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 (6 hr., 17 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Spring (Software framework) ; Application software Development ; Java (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: For many developers, Spring is the go-to framework for quickly and easily creating web-based enterprise applications. With its comprehensive ecosystem that includes an extensive array of tools and testing capabilities, Spring relieves developers of much of the drudge work when building out web-based, RESTful applications. Spring Boot helps out even further by enabling autoconfiguration of many of the tedious chores that you need to do when starting a new project. In this updated learning path, designed for basic- to intermediate-level web application developers, you'll examine the Spring approach to development as you explore the fundamentals that drive this powerful application framework. You'll see how to build applications from scratch and then test and manage those applications. You'll also look at Spring's Model-View-Controller (MVC) framework as well as ways to save your data using the JdbcTemplate, JPA support, and Spring Data framework. When you've completed this learning path, you'll be well on your way to being able to rapidly create web-based, RESTful services and applications. What you'll learn and how you can apply it Write basic server-side applications, including web apps and restful web services. Test all aspects of a Spring application, using a combination of unit, integration, and full functional tests. Select persistence mechanisms for relational database data and implement them using Spring's dedicated classes or Spring Data JPA. Build a native image for restful web services using the GraalVM native image compiler. This course is for you because... You're a developer who wants to write web apps or REST-based services. You have a Java background (or other related language) and want to work with Spring. You're interested in the Spring ecosystem of projects. Prerequisites: Experience using Java Experience working in programming web applications and/or restful web services (helpful but not required).
    Note: Online resource; title from title details screen (O'Reilly, viewed Decenber 19, 2023)
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  • 63
    Online Resource
    Online Resource
    [Place of publication not identified] : Pearson IT Certification
    ISBN: 9780138191368 , 0138191360
    Language: English
    Pages: 1 online resource (1 video file (21 hr., 22 min.)) , sound, color.
    Series Statement: Complete video course
    Series Statement: Live lessons
    DDC: 005.3
    Keywords: Application software Study guides Development ; Examinations ; Virtual computer systems Study guides Examinations ; Computer programmers Certification ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Overview A full deep-dive training to learn how to run applications on Kubernetes and pass the CKAD and CKA exams! 21 hours of video instruction Description This master class includes the following courses: Certified Kubernetes Application Developer (CKAD) Complete Video Course, 3rd Ed Certified Kubernetes Administrator (CKA) Complete Video Course, 3rd Edition Certified Kubernetes Application Developer (CKAD) Complete Video Course, Third Edition is your complete guide to learning how to run Kubernetes applications and pass the CKAD exam. It includes in-depth discussions, lightboard explanations, and lab demonstrations to get you started with Kubernetes. It also covers all objectives in the industry-recognized CKAD exam. Each lesson ends with a hands-on lab and the video course concludes with a full practice exam, so you can get the practice you need to feel prepared on exam day. The course provides in-depth knowledge for how to develop, create, manage, store, and troubleshoot Kubernetes applications, as well as how to work with containers in a Kubernetes environment. Best-selling author and trainer Sander van Vugt clearly and succinctly explains Kubernetes basics and building and exposing scalable applications. Advanced CKAD tasks, including working with the API, applying DevOps technologies, and troubleshooting Kubernetes are also covered. Certified Kubernetes Administrator (CKA), 3rd Edition acts as a complete study resource to help you build skills as you work your way through the course. Explore each exam objective on the CKA exam and learn how to build, run, and manage Kubernetes clusters. Expert trainer and author Sander van Vugt gives you hands-on labs to work with Kubernetes, so you have the opportunity to test your skills. The course then ends with a sample exam, allowing you to practice before taking the real thing. It introduces containers and Kubernetes, and moves through the process of creation, managing, and storing applications before providing labs on setting up and managing clusters, and how to troubleshoot Kubernetes applications and cluster nodes. Sander shows how to manage deployments, services, ingress, setting up storage, and walks through key troubleshooting scenarios. Course requirement: A working knowledge of Linux. To build a strong understanding of working with Linux, watch Linux Fundamentals, 2nd edition by Sander van Vugt. https://learning.oreilly.com/videos/linux-fundamentals-2nd/9780137929313/ A basic understanding of containers. To study for the KCNA exam, watch Kubernetes and Cloud Native Associate (KCNA) https://learning.oreilly.com/videos/kubernetes-and-cloud/9780137993413/ by Sander van Vugt. To work on the lab assignments in this course, participants need three virtual machines using a recent version of Ubuntu server LTS. About Pearson Video Training: Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Prentice Hall, Sams, and Que Topics include: IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video.
    Note: Online resource; title from title details screen (O'Reilly, viewed February 20, 2023)
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  • 64
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 49 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; Business Data processing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In this course, you'll discover the essentials of business analytics and learn how to transform raw data into actionable insights for effective decision making. This course is designed for business analysts, data analysts, managers, and professionals who want to understand the importance of data-driven decision making and leveraging data to drive business success. This course will empower you to make better, data-informed decisions that drive business success, regardless of the tools or programming languages you use. What you'll learn and how you can apply it By the end of this course, the learner should understand: The principles of business analytics and its role in data-driven decision-making Key frameworks for measuring business performance and identifying value drivers Essential analytics techniques for decision support such as decision trees, segmentation, trend analysis, and advanced concepts like predictive analytics The significance of data visualization and communication How to conduct essential business analytics techniques with Python And the learner will be able to: Drive business impact through analytics across all industries Identify and analyze value drivers in business processes Develop meaningful and effective KPIs for controlling business performance Utilize essential analytical techniques to derive actionable insights from data Create clear and compelling data visualizations to communicate insights Implement data-driven decision-making strategies in their organization Create their own business analytics workflows using Python This recording of a live event is for you because You're a business analyst or data analyst who wants to deepen your understanding of proven business analytics concepts and techniques. You're a manager or professional who wants to improve your data-driven decision-making skills. You're a data enthusiast who wants to learn how to drive more business impact with your analyses. You're a professional interested in exploring the potential benefits of AI and machine learning in your analytics processes. You're a small business owner that wants to learn how to control, manage, and improve the performance of your business. Prerequisites No advanced technical knowledge or programming experience is required.
    Note: Online resource; title from title details screen (O'Reilly, viewed Decenber 5, 2023)
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  • 65
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 18 min.)) , sound, color.
    Edition: [First edition].
    DDC: 658.5
    Keywords: Product management ; Business communication ; Corporate culture ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Positioned at the intersection of business, design, and technology, product management has emerged as one of the most critical business roles of the 21st century. But what does a product manager actually do? What impact can a great product manager have on an organization? And why do we need product managers in the first place? This video covers the fundamentals of product management--what it is, who does it, why it matters, and how to do it well. It offers a new model for understanding the CORE connective skills of product management (communication, organization, research, and execution) and provides an actionable overview of the role for new and aspiring product managers, plus those who are curious to better understand the role. What you'll learn and how you can apply it The history of product management, and how it got us to where we are now Understand why product management is so important for modern organizations of all types and sizes Discover the CORE connective skills (communication, organization, research, and execution) that product managers need to succeed Explore the real-world day-to-day activities of product managers across industries and organizations This course is for you because... You're a relatively new product manager, product owner, program manager. Prerequisites Beginner knowledge of product management.
    Note: Online resource; title from title details screen (O'Reilly, viewed Decenber 19, 2023)
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  • 66
    Language: English
    Pages: 1 online resource (1 video file (1 hr.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Computer software Development ; Computer software ; Development ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Join us for a special conversation with Sam Newman and Datasette creator Simon Willison, who'll discuss using large language models to support self-guided learning of new programming languages and other skills. A language model such as GPT-3 can act as a sort of super-smart-and-super-dumb teaching assistant: you can ask it questions and follow-up questions, and if you get your questions right, it can genuinely help you build a good mental model of the topic at hand. You'll also hear about some of the ways that Simon is able to maintain 185 different open source projects at the same time. What you'll learn and how you can apply it Learn what really matters for software design Find out what's coming next for software development This recording of a live event is for you because... You want the chance to hear from Sam Newman and Simon Willison about software development. You need help tackling a new programming language or other skill. Recommended follow-up: Read Fluent Python, second edition (book) Explore O'Reilly's Django Sandbox Watch Software Development Superstream: Becoming a Senior Software Engineer (live event video).
    Note: Online resource; title from title details screen (O'Reilly, viewed March 21, 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., 53 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Software architecture ; Blockchains (Databases) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This course is for people of all backgrounds who want to understand the Algorand Blockchain and demonstrate their ability to effectively coordinate, and lead the building of Algorand blockchain solutions for commercial deployment. What you'll learn and how you can apply it By the end of this course, you'll understand: How to implement business solutions using the Algorand network Algorand Network basics Algorand Protocols and Governance Algorand Services and business solutions Algorand Smart Contracts and applications And you'll be able to: Understand Algorand application solutions. Lead the set up and plan for Algorand business solutions. Direct the use of Algorand tools and software developer kits (SDKs) to build applications. 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 Decenber 19, 2023)
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  • 68
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 59 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Cloud computing ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Climate disaster is looming, and the day of reckoning is here. Businesses can no longer afford to ignore their part in the changing climate. Environmental sustainability is now a top strategic priority for IT teams, and for good reason. Greener computing practices are not only good for the planet but can also be a driver of cost-efficiency and innovation. The leading cloud providers have all pledged to decarbonize their data centers and use renewable energy, but how can organizations and individual contributors take part and hold them accountable? What are the impacts of your cloud use? And how can your organization be more efficient? Join leading experts for a half-day of sessions that will answer these tough questions and set you on the path to greener cloud computing. The need for greener practices (like smart infrastructure) is urgent; this Superstream event will help you start implementing them. What you'll learn and how you can apply it Understand the environmental implications of software development and cloud operations and why it is so urgent to adopt more sustainable practices Learn how to reduce software emissions, optimize cloud resources, and measure your carbon impact using a variety of protocols, tools, and best practices Learn how to communicate with colleagues and leaders about green computing initiatives and become an advocate for sustainability in your organization This live event is for you because... You're a software developer or engineer working in the cloud and you want to build more responsible and efficient applications. You're a cloud architect, operations manager, or engineering leader responsible for helping your organization achieve its sustainability goals. You care about the planet and want to be a part of the solution in your organization. Recommended follow-up: Read Building Green Software (early release book) Watch Infrastructure & Ops Hour with Sam Newman: Cloud Providers and Sustainability with Anne Currie (video) Listen to Understanding Corporate Sustainability (audiobook).
    Note: Online resource; title from title details screen (O'Reilly, viewed Decenber 5, 2023)
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  • 69
    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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  • 70
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 25 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Computer software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life. So software engineers don't just need top-notch programming skills--they also have to understand how to develop proper engineering practices to make their codebase sustainable and healthy. That's the difference between programming and software engineering. Whether you're a freshly minted software engineer or a seasoned pro, these expert-led sessions are sure to give you insight into the fundamental principles that should be top of mind when you're designing, architecting, writing, and maintaining code. What you'll learn and how you can apply it Learn how to optimize your VS Code development environment and to refactor an existing code base with Rust Understand how a shift-left testing approach can create quicker feedback loops and how you can improve your software performance and design starting with making small changes to code (tidyings) This live event is for you because... You're a software developer or engineer looking for ways to write and refactor code faster and with fewer errors. You want to learn how to use new tools and programming languages. Recommended follow-up: Read The Staff Engineer's Path (book) Read Software Engineering at Google (book) Listen to The Manager's Path (audiobook) Read Fundamentals of Software Engineering (early release book).
    Note: Online resource; title from title details screen (O'Reilly, viewed October 11, 2023)
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  • 71
    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 ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Join us for a special conversation with Sam Newman and technical coach Emily Bache, who'll discuss why software teams that work well together produce truly great software. They'll also share expert insights on ways to improve cooperation among teams at your own organization. They'll explore why writing clean code matters and why high-quality automated tests, frequent integration, and small but continual design improvements can enable organizations to build new, higher-quality features more quickly. This is a chance for you to hear from Sam and Emily about software development, the challenges of meshing teams into a cohesive whole, or 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 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 hear from Sam Newman and Emily Bache about software development. Recommended follow-up: Read Clean Code Cookbook (book) Listen to Effective Software Testing (audiobook) Read Full Stack Testing (book).
    Note: Online resource; title from title details screen (O'Reilly, viewed October 11, 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 (1 hr., 42 min.)) , sound, color.
    Edition: [First edition].
    DDC: 650.1
    Keywords: Management ; Organizational behavior ; Interpersonal communication ; Gestion ; Comportement organisationnel ; Communication interpersonnelle ; management ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Trust is the bedrock of every relationship and for managers, it is vital to ensuring that team members feel supported and perform successfully. Without trust, teams fracture: individuals do not share information, conflicts increase, and cooperation breaks down. In this on-demand course, managers will learn the importance of trust and several models for fostering it. You will learn common behaviors that break trust and ways to build it back and forge strong team relationships. What you'll learn and how you can apply it Understand the importance of trust at work Learn the three dimensions of trust Understand the trust equation Learn the pillars of trust Learn the ways to build trust Develop strong team relationships Understand the traits of trustworthy managers Understand the ABCD Model of Trust Distinguish between trust building actions and trust breaking actions Understand trust inducing behaviors This course is for you because... You're a team leader or manager who needs to build more trust with the team. You're a manager who feels that a lack of trust is impeding your team's success. You're a new manager who needs to build a cohesive and high-performing team and you want to start off on the right foot. Prerequisites: Experience as a manager.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 23, 2024)
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  • 73
    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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  • 74
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 58 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.74
    Keywords: Blockchains (Databases) ; Agile software development ; Scrum (Computer software development) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This course covers the basics of the Agile and Scrum Methodologies, and its application to layers of various technologies. Leading Blockchain projects requires a scaling agile approach as well as blending together various Agile solutions to accommodate the Blockchain solutions combined with accompanying technologies. In this course learner will attain the skills needed to lead Blockchain based projects. What you'll learn and how you can apply it By the end of this course, you'll understand: The foundations of the Agile and Scrum methodologies How to apply Scrum and Agile principles to Blockchain projects How to scale Agile to a team-of-teams approach How to use different Agile methodologies to lead and deliver complex solutions And you'll be able to: Understand how to implement an Agile and Scrum solution for complex projects. Scale Agile and Scrum solutions to support layers of technologies. Involve the team and stakeholders in continuously delivering working Blockchain based projects. 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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  • 75
    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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  • 76
    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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  • 77
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 49 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Over the past decade, the field of AI has achieved incredible results by focusing on building and training powerful deep learning models, from convolutional neural networks to state-of-the-art transformers. While the results of this model-centric approach have been inspiring, a growing number of experts have recognized the importance of ensuring the quality of the data used to train these models in order to build real-world machine learning systems that address the business and social needs of today. AI pioneer Andrew Ng has spearheaded the effort to move away from a model-centric approach to what he calls a "data-centric" approach to solving today's AI challenges. Data-centric AI renews focus on improving the data that makes AI systems work, through data iterability and quality, by embracing programmatic approaches to data labeling and curation, and by recentering subject matter experts as key players within the AI system development process. If you're a data scientist, machine learning engineer, or another decision maker overseeing the development and deployment of machine learning systems and you've already experienced the limits of a model-centric approach, this event is for you. Join us for expert-led sessions to discover the untapped potential of data-centric AI. What you'll learn and how you can apply it Understand the principles of data-centric AI and how they can improve your machine learning systems Learn how to enhance your machine learning system through data iterability and quality, data labeling and curation, and by recentering subject matter experts This recording of a live event is for you because... You're working with data for machine learning systems as a data scientist, data/machine learning engineer, data/machine learning architect, or machine learning team leader. You want to leverage your data effectively and efficiently to get the most out of your machine learning system. Prerequisites Basic knowledge of machine learning systems Recommended follow-up: Read Training Data for Machine Learning (early release book) Read Practical Weak Supervision (book) Watch Best Practices for Automated Data Labeling in NLP (event 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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  • 78
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (4 hr., 21 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Mathematical optimization ; Search engines ; Python (Computer program language) ; Machine learning ; Optimisation mathématique ; Moteurs de recherche ; Python (Langage de programmation) ; Apprentissage automatique ; search engines ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: With an increased demand for SEO effectiveness, Python, and the advances in data science, this course teaches web professionals, data analysts, and scientists how to understand and apply data-driven approaches to improve website search visibility. It's crucial for those in digital marketing and data analysis to stay ahead in a rapidly evolving field where data science is key to success. This course uniquely integrates the power of Python and data science with the strategic needs of Search Engine Optimization. This course offers in-depth knowledge and practical skills for leveraging data science in enhancing SEO strategies across high demand SEO topic areas. Learners will understand how to navigate the challenges of integrating data science techniques into SEO strategies. The course addresses the gap in knowledge between SEO practices and data science, providing professionals with the tools to make informed, data-backed decisions, crucial for enhancing online website visibility in search engines. Learners will acquire skills in querying the Google Search Console API, keyword clustering based on search intent, data-driven content optimization, forecasting search trends, and conducting valid SEO split tests. The course empowers participants to use Python for practical, impactful SEO and data analysis, setting a new standard for excellence in SEO. What you'll learn and how you can apply it By the end of this course, the learner should understand the relationship between data and SEO performance and be able to apply data science techniques in Python. This course is for you because... You're a SEO professional interested in learning to save time producing high impact SEO recommendations. You're a data scientist or data analyst looking to level up your SEO skills to help your organization win and retain more clients and increase visibility. You want to see how Python and Data Science can be applied to SEO. Prerequisites Open a Jupyter notebook Run Python commands in Jupyter Install Python packages either via the command line or Jupyter using the Python Install Packages (pip).
    Note: Online resource; title from title details screen (O'Reilly, viewed January 23, 2024)
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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 (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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  • 80
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 55 min.)) , sound, color.
    Edition: [First edition].
    DDC: 659.2/85
    Keywords: Stakeholder management ; Success in business ; Succès dans les affaires ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: In this on-demand course, you will learn why stakeholder management is vital to your business success, how to identify and assess stakeholders' expectations, and how best to communicate a common understanding of shared goals and objectives. As individuals advance into more senior roles, they take on additional responsibilities and larger projects. This means they gain the opportunity to influence more people who are impacted by their work. Those they are trying to influence are known as stakeholders, and while some may want to help you, others may undermine you. The challenge is winning stakeholder support and achieving your goals. What you'll learn and how you can apply it: In this course, the learner will be able to: Understand who stakeholders are and explain their importance. Identify the key stakeholders in a project. Understand how to prioritize your stakeholders' influence. Understand the basics of stakeholder engagement, and how you can win support for your project. Learn what tools you can use for managing stakeholder engagement. This course is for you because: You're working with multiple people and want to influence them positively. You're a manager across verticals who needs to maintain good rapport and strong relationships. You're a leader who interacts with and manages teams, customers, vendors, cross-functional teams, etc. You collaborate with many people. Prerequisites You have experience collaborating with people in a professional environment.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 23, 2024)
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  • 81
    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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  • 82
    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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  • 83
    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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  • 84
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 59 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Computer software Development ; Computer security ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: According to Gartner, by 2025 a single centralized cybersecurity function won't be agile enough to meet the needs of a digital organization. DevSecOps--the integration of security considerations into the delivery pipeline as early as possible--is an important means of addressing this challenge. Join top experts for an overview of best practices and future trends in DevSecOps. You'll learn how to integrate security into everything you do, understand the cultural changes your organization needs to make to do so, and explore new developments such as system resilience, MLSecOps, and more. 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 course 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 November 1, 2023)
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  • 85
    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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  • 86
    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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  • 87
    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: 005.74
    Keywords: Blockchains (Databases) Security measures ; Data encryption (Computer science) ; Electronic funds transfers ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Blockchains use asymmetric cryptography to ensure the authenticity and integrity of transactions stored on the distributed ledger. An attacker with access to the private key of a Blockchain account can steal cryptocurrency and interact with smart contracts on its behalf. Enroll in this course to learn best practices for managing blockchain account keys. What you'll learn and how you can apply it By the end of this course, you'll understand: The underlying theory behind public key cryptography. Applications of asymmetric cryptography in Blockchain. The various methods of private key generation. Various private key storage methodologies. Common cryptographic key management mistakes. And you'll be able to: Use and implement the best practices for securing crypto wallets and cryptocurrency. Understand common key management mistakes. Articulate the best key storage approaches. This course is for you because... You're an 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 becoming a leader in Blockchain and emerging technology. Prerequisites: Basic knowledge of web applications and the Internet. Recommended follow-up Getting Started with Blockchain and Cryptocurrency (video course) Practical Blockchain and Cryptocurrency (video course) Understanding Crypto Currencies, Bitcoins, and Blockchains (video course) Blockchain Applications and Smart Contracts: Developing with Ethereum and Solidity (video course) Certified Blockchain Developer--Hyperledger Fabric (CBDH) (video course) Introduction to Blockchain for Azure Developers: Understanding the Basic Foundations of Blockchain (video course) Architecting Blockchain Solutions (video course) Introduction to Blockchain Applications (video course) Introduction to Blockchain Technology (video course) Meet the Expert: Blockchain Best Practices with John Hargrave and Evan Karnoupakis (video interview) Bitcoin, the Blockchain, and Their Potential to Change Our World (video course) Complete Cryptocurrency & Blockchain Course Learn Solidity (video course) Solidity Smart Contracts: Build DApps in Ethereum Blockchain (video course) Blockchain in Swift: Decentralized iOS Programming (video course) Ethereum Fundamentals (video course) Blockchain and Regulation: Privacy, Laws, Taxation and More (video course) Create Your First DApp on Ethereum - A Concise Tutorial (video course).
    Note: Online resource; title from title details screen (O'Reilly, viewed November 15, 2023)
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  • 88
    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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  • 89
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 17 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Application software Development ; Artificial intelligence ; Computer programming ; Application program interfaces (Computer software) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: In this course you will learn to build basic AI-powered applications by LangChain. Working with Language Model providers can unlock new capabilities for your application, however, they quickly become difficult to work with once you get past the basics. LangChain is an Open-Sourced framework that helps developers of all skill levels build complex interactions in just a few lines of code. We'll explore the basics of LangChain, top use cases, and build a question and answer application. What you'll learn and how you can apply it: Understand the basics and main use cases of working with LangChain to build LLM-powered applications Build your own Question and Answer application on your own custom files This course is for you because: You're a software developer interested in learning to leverage LLMs to build AI-powered applications. You're a data scientist or software engineer looking to add a new skill to your toolkit. You want to become more proficient at synthesizing text and freeform responses. You would like to build your own tools to power your text-based workflows. You would like to understand the latest trends and technologies in the AI space. Prerequisites: Basic Python knowledge Familiarity with Jupyter Notebooks Familiarity with Language Model Providers (ChatGPT, Bard).
    Note: Online resource; title from title details screen (O'Reilly, viewed Decenber 5, 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., 47 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.74
    Keywords: Blockchains (Databases) ; Agile software development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: The Hedera Hashgraph Enterprise Strategist program allows non-technical students and working professionals to demonstrate the knowledge required to orchestrate client applications and smart contracts leveraging Hedera Hashgraph. Your introduction to Distributed Ledger Technology (DLT) technology allows you to see how this technology could impact business, operation models, and solution integration. What you'll learn and how you can apply it By the end of this course, you'll understand: The foundations of the Agile and Scrum methodologies. How to apply Scrum and Agile principles to Blockchain projects. How to scale Agile to a team-of-teams approach. How to use different Agile methodologies to lead and deliver complex solutions. And you'll be able to: Understand how to implement an Agile and Scrum solution for complex projects. Scale Agile and Scrum solutions to support layers of technologies. Involve the team and stakeholders in continuously delivering working Blockchain based projects. This course is for you because... You're interested in the distributed ledger emerging technology. You work in IT and 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 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 (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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  • 93
    Online Resource
    Online Resource
    [Place of publication not identified] : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 38 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: C++ (Computer program language) ; C++ (Langage de programmation) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Templates have proven to be one of the most powerful, but also one of the most challenging C++ features, particularly for C++ beginners. For instance, templates, often referred to as a Turing-complete language in the language, provide the means to do compile-time computations, but of course due to that, also introduce a significant complexity. This course gives an introduction to function templates, class templates, and variadic templates. It covers the syntax, implementation details, instantiation, full and partial specialization and will allow you to use templates to write more efficient, flexible, and maintainable software. What you'll learn and how you can apply it Why C++ templates are considered a powerful feature. When to use templates and when to not use them. How to write and use templates for maximum benefit. This course is for you because... You want to become a professional C++ developer. You want to use one of the most important and powerful C++ features. You want to read and understand C++ code using templates. Prerequisites: Some basic C++ experience, such as the knowledge about regular functions and regular classes.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 06, 2023)
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  • 94
    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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  • 95
    Online Resource
    Online Resource
    [Place of publication not identified] : Pearson
    ISBN: 9780138268510 , 0138268517
    Language: English
    Pages: 1 online resource (1 video file (15 hr., 7 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.3
    Keywords: Kubernetes ; Application software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: 15+ Hours of Video Instruction Go from basic to guru in the Kubernetes world! Overview: Kubernetes: From Basics to Guru is your one-stop course to mastering the Kubernetes world. The course is a comprehensive guide to learn fundamentals through advanced concepts in a carefully curated course. You will master container orchestration, Kubernetes deployments, and unlock the full potential of cloud-native applications. Learn to run applications in Kubernetes and create a minikube and cloud native environment. You will learn how to manage security settings, understand API access, setup RBAC, deploy applications using YAML manifests and demonstrate continuous delivery using GitOps principles. The course is divided into 26 lessons categorized under 6 modules. The modules are Fundamentals, DevOps and GitOps, Kubernetes, Advanced Kubernetes Services, Microservices and Gitops. This master course includes lessons from: Building and Managing Microservices with Kubernetes and Istio Automating Kubernetes with GitOps Getting Started with Containers Kubernetes and Cloud Native Associate (KCNA) Complete Video Course Certified Kubernetes Administrator (CKA) Complete Video Course, 3rd Edition Getting Started with Kubernetes About the Instructor Sander van Vugt has many years of experience working with, writing about, and teaching Linux and Open-Source topics. He is the author of the best-selling Red Hat RHCSA and RHCE Cert Guides as well as a number of other titles on Kubernetes (including CKAD and CKA), Ansible, Containers, Bash, Microservices, and more. Sander also works as a Linux and DevOps instructor, teaching onsite and online classes for customers around the world. Skill Level: Beginner to Intermediate Learn How To: Run Applications in Kubernetes Setup Kubernetes for GitOps Use DevOps, GitOps, and pipelines Run Kubernetes, Minikube environment, and run applications in Kubernetes Run applications in a cloud native environment Create a Kubernetes cluster Manage Kubernetes Networking Manage Cluster Nodes Troubleshoot Kubernetes Clusters and Applications Course requirement: A computer with a recent operating system and at least 4GB RAM and 20GB available disk space Basic knowledge of Kubernetes is recommended. Students without Kubernetes knowledge are recommended to watch Getting Started with Kubernetes, 3rd Edition by Sander van Vugt: https://learning.oreilly.com/videos/getting-started-with/9780138057626/ Who Should Take This Course: Developers that need to learn how to write efficient and well-structured Rust applications People with prior OOO language experience About Pearson Video Training: Pearson publishes expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. These professional and personal technology videos feature world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, Pearson IT Certification, Prentice Hall, Sams, and Que Topics include: IT Certification, Network Security, Cisco Technology, Programming, Web Development, Mobile Development, and more. Learn more about Pearson Video training at http://www.informit.com/video.
    Note: "Video course.". - Online resource; title from title details screen (O'Reilly, viewed September 05, 2023)
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  • 96
    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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  • 97
    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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  • 98
    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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  • 99
    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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  • 100
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 41 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence ; Natural language processing (Computer science) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Large language models have taken the field of natural language processing and other domains of AI application by storm. The introduction of the transformer architecture by Google Brain in 2017 allowed these models to expand beyond individual word processing to the broader contexts of sentences or paragraphs, and the results have been groundbreaking, even renewing debates about the sentience of AI. But while the applications for these models are endless--from personal assistants and coding assistants to translation and copywriting--the power of LLMs comes with many questions and challenges. The size of LLMs can raise questions of latency and costs when put into production, and debates around the potential harmful effects of LLMs that produce hate speech and misinformation have only just begun. Join experts and practitioners in the field who are tackling these challenges head-on. ML and NLP researchers, data scientists, ML engineers, and AI leaders interested in these powerful models will explore everything from researching the potential of new LLMs to creating state-of-the art applications and more. What you'll learn and how you can apply it Get expert perspectives on the latest tools and techniques for building large language model applications Learn about the latest open source projects making powerful LLM applications achievable for more organizations This Superstream is for you because... You're a current or future AI product owner or AI/machine learning practitioner. You want to learn about the state of the art in artificial intelligence and how large language models can be leveraged to build new applications and solve your organizational challenges. 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 Decenber 19, 2023)
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