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  • 1
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 9 hr., 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    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 screen (viewed January 8, 2020)
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 11 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 4+ Hours of Video Instruction Overview Cloud computing has revolutionized the IT industry over the past decade. Now that the dust is settling, IT professionals are beginning to realize that the roles, responsibilities, and practices that previously made sense need to be re-examined. Developing Infrastructure as Code with Terraform LiveLessons lays out the road ahead and teaches cutting-edge tools and practices to quickly bring existing skills up to date or to jump-start a novice career. Infrastructure as Code (IaC) dissolves the boundaries between Dev and Ops to the point where infrastructure engineering is now a software development discipline. That's where this LiveLessons course comes in. Description Modern software development in the cloud has spurred myriad advances in efficiency for developers. Now, infrastructure engineers can leverage many of the same tools and practices to deploy reliable infrastructure. This course shows how to successfully integrate Infrastructure as Code (IaC) into your test and deployment pipelines. This LiveLessons course introduces the philosophy behind IaC and covers how to implement IaC in your own environment using Terraform. Robert Jordan illustrates the critical tools and practices to successfully implement IaC in a collaborative production environment. Developers and Ops clientele will learn how to integrate IaC into test and deployment pipelines, how to enforce code review for infrastructure changes, and how to manage infrastructure change. The video combines PowerPoint slides, interactive web demonstrations, and code illustration. About the Instructor Robert Jordan has been designing, implementing, and deploying production applications for some of the world's largest media and scientific customers for more than 20 years. Throughout that time, he has successfully led projects on all major cloud platforms and is currently certified on both AWS and GCP platforms. He is also a co-founder of Pragmatic AI Labs. Skill Level Beginner to Intermediate What You Will Learn Learn how to Build and test cloud infrastructure Create reproducible, immutable infrastructure with code Master industry-leading software Terraform Implement collaborative IaC teams Learn to perform real-world deployment scenarios, including Collaborative IaC development Deployment stages (e.g., dev/stage/prod) Testing and debugging Terraform deployment Who Should Take This Course Infrastructure Engineers System Architects Software Engineers En...
    Note: Online resource; Title from title screen (viewed January 14, 2020)
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  • 3
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 44 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 6+ Hours of Video Instruction Learn the fundamentals of databases and prepare for the Microsoft Technology Associate (MTA) exam 98-364: Database Fundamentals. Overview In MTA 98-364 Database Fundamentals LiveLessons , you gain the knowledge required to work with and design relational databases and prepare for Microsoft MTA Exam 98-364. Drawing on his experience as a SQL Server MVP, Eric Johnson guides you from the basic elements of databases, such as tables and indexes, and progresses into the principles of database design and layout. Building on that foundation, you learn how to perform more advanced skills, such as database administration, backup, and security. Topics are organized into easily digestible lessons so you can learn these skills with ease. This video course, along with additional study, helps you achieve the hands-on experience recommended to take the exam and demonstrate your mastery of database fundamentals. Skill Level Beginner Learn How To Understand concepts involved with database storage Perform database normalization Create database objects Manipulate data in databases Secure databases Back up and restore databases Who Should Take This Course Developers and system administrators with no prior experience working with databases Course Requirements Knowledge of Windows operating system IT background with no prior database 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. Video Lessons are available for download for offline viewing within the streaming format. Look for the green arrow in each lesson.
    Note: Online resource; Title from title screen (viewed October 4, 2019)
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  • 4
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 43 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 6+ Hours of Video Instruction Learn the fundamentals of databases. Overview In MTA 98-364 Database Fundamentals LiveLessons , you gain the knowledge required to work with and design relational databases and prepare for Microsoft MTA Exam 98-364. Drawing on his experience as a SQL Server MVP, Eric Johnson guides you from the basic elements of databases, such as tables and indexes, and progresses into the principles of database design and layout. Building on that foundation, you learn how to perform more advanced skills, such as database administration, backup, and security. Topics are organized into easily digestible lessons so you can learn these skills with ease. This video course, along with additional study, helps you achieve the hands-on experience recommended to take the exam and demonstrate your mastery of database fundamentals. Skill Level Beginner Learn How To Understand concepts involved with database storage Perform database normalization Create database objects Manipulate data in databases Secure databases Back up and restore databases Who Should Take This Course Developers and system administrators with no prior experience working with databases Course Requirements Knowledge of Windows operating system IT background with no prior database 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. Video Lessons are available for download for offline viewing within the streaming format. Look for the green arrow in each lesson.
    Note: Online resource; Title from title screen (viewed October 4, 2019)
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  • 5
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 35 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 3+ Hours of Video Instruction Overview In this course, participants learn what blockchain and cryptocurrency are, how they work, and how these technologies are being applied. The course explains what smart contracts are and how they work, the rise of new funding mechanisms such as Initial Coin Offerings (ICOs) and Security Token Offerings (STOs), and how the use of digital tokens and “tokenization” are changing many long-established business rules. Through the use of demonstrations and detailed slide explanations, we explore the state of the blockchain business market, including investments and projections for market growth. There is an opportunity to analyze multiple use cases of the blockchain technology being applied. The course also provides a section on how you can determine whether using blockchain and cryptocurrency are right for your business. This course quickly brings you up to speed on blockchain and cryptocurrency and how these technologies are being used to drive a new wave of innovation across a wide range of businesses. You will gain valuable professional knowledge on what blockchain and cryptocurrency are, how they are being used across numerous industries, why they are so innovative and disruptive, and how you can determine whether blockchain is right for your business. Topics include Module 1: Blockchain and Bitcoin Basic Concepts Module 2: Cryptocurrency and Smart Contracts Module 3: Business Opportunities in Blockchain Module 4: Blockchain and Your Business About the Instructor George Levy is a lecturer and senior instructor on blockchain, Bitcoin, and cryptocurrency at Blockchain Institute of Technology (BIT), a leading professional training and certification organization focused on blockchain technology and cryptocurrency. He is also co-founder and chief marketing officer for Bitsonline, a prominent media portal for all things cryptocurrency, blockchain, and the technology that frames it all. He is a former regional manager for Microsoft Corporation and a vice president for the World Business Forum (WOBI). An award-winning digital entrepreneur with more than 20 years of professional experience working with the Internet and digital technology, he is on a mission to help further the global growth of blockchain technology to drive positive change. George is a Certified Senior Blockchain Professional (CSBCP) from Blockchain Institute of Technology (BIT) and a Certified Bitcoin Professional (CBP) from CryptoCurrency Certificat...
    Note: Online resource; Title from title screen (viewed July 17, 2019)
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  • 6
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 28 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 4+ Hours of Video Instruction Overview There is a rapid evolution occurring in machine learning with tools like AutoML that basically automate many of the tedious aspects of machine learning and allow developers to focus on getting results into production. Noah Gift illustrates just now to harness this technology and deploy it successfully on Google Cloud Platform, demonstrating for developers how to employ the current best practices and automated tools to create analytics applications that solve real-world problems. Developers who want to take their Data Science skills to the next level and build AutoML applications in the Cloud will benefit from this unique course, as they learn how to use AutoML, Big Query, Python, and Google App Engine to create sophisticated AI. Description Cloud AutoML is a suite of machine learning products that enables developers with limited machine learning expertise to train high-quality models specific to their business needs. It relies on Google’s state-of-the-art transfer learning and neural architecture search technology. Developers use Cloud AutoML’s graphical user interface to train, evaluate, improve, and deploy models based on their data. This LiveLesson covers programming components essential to the development of AI and Analytics applications. The focus is on building real-world software engineering applications on the Google Cloud Platform. Several emerging technologies are used to demonstrate the process, including AutoML and Google BigQuery. The Python language is used throughout the course, as Python is becoming the de facto standard language for AI application development in the cloud. Download the supplemental files for this LiveLesson from http://www.informit.com/store/building-ai-applications-on-google-cloud-platform-livelessons-9780135973509 . About the Instructor Noah Gift is a lecturer at the UC Davis Graduate School of Management, MSBA program, the Graduate Data Science program, MSDS, at Northwestern and the Graduate Information and Data Science Program at UC Berkeley. He is teaching and designing graduate machine learning, AI, Data Science, and Cloud Architecture courses. These responsibilities include leading a multi-cloud certification initiative for students. Noah is a Python Software Foundation Fellow, AWS Subject Matter Expert (SME) on Machine Learning, AWS Certified Solutions Architect, AWS Certified Big Data-Specialist, AWS Certified Machine Learning-Specialist, AWS Academy Accredited I...
    Note: Online resource; Title from title screen (viewed August 8, 2019)
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  • 7
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 5+ Hours of Video Instruction Web applications of today are becoming increasingly more complex. Our apps commonly need to request data from various sources and handle rich user interactions, which can become difficult to keep track of as our apps scale. Luckily, if you are using the React framework, there are many ways to solve these problems. React has emerged as the industry standard for JavaScript frameworks. With more than 3 million weekly downloads from the NPM package manager—and heavy usage by leading companies such as Google, Microsoft, Netflix, Twitter and so many more—React is a leading framework. Learn how to unlock the power of React with the Redux library to provide creative solutions and highly flexible web components. In larger applications, many developers and teams lean on Flux-style architectures, such as those implemented by the Redux library, which have proven to be highly scalable and easily testable. Instructor Dave Lunny covers how you can develop successful web applications with these powerful technologies. Description In this 5 hour LiveLesson, Dave Lunny provides a deep dive into the concepts behind Flux-based architectures like Redux, showing how to use unidirectional data patterns to help simplify your web applications. Lunny uses a mix of screen casting, slides, and personal narrative to cover modern development patterns, demonstrating how to solve state management issues that can arise—such as higher-order components, render props, and context. Skill Level Beginning-Intermediate What You Will Learn How to simplify the way data flows through applications A full understanding of the concepts behind Flux-style architecture and how to think in Redux Exciting concepts to help make components more flexible A keen understanding of the overarching concept behind Redux and how the library fits into a modern front-end JavaScript stack How to use Redux with React Advanced React patterns, such as higher-order components, render props, and the Context API Who Should Take This Course Web Developers Javascript developers Course Requirements Pre-requisites: A working knowledge of modern JavaScript (ES6+), as well as some basic CSS/HTML knowledge. Understanding of common web development best practices, specifically the benefits of building reusable UI components. Intermediate knowledge of the React JavaScript framework. About Pearson Video Training Pearson publishes expert-led video tutorials covering a wide selection of technolo...
    Note: Online resource; Title from title screen (viewed April 18, 2019)
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  • 8
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 16 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The courses in this series will help you prepare for the Unity Certified 3D Artist exam, the professional certification for entry- to mid-level Unity artists. 3D artists are critical to the Unity development pipeline. They are a bridge between the programmers writing the application code and the designers or art directors who define the application’s aesthetics and style. In these courses, you will be challenged to complete realistic art implementation tasks in Unity that are aligned to the topics covered on the exam. Description Unity’s only official series of courses to prepare for the Unity Certified 3D Artist exam. This specialization covers five topic areas distributed over 5 self-paced courses: Asset Creation and Management; Lighting, Reflection and Post-Processing Effect; Integrating Scripts for Scene Integrations; Character Setup; and Setting up Cutscenes.Participants in this Specialization will complete multiple project milestones across two main projects: a Kitchen Configuration application with a realistic aesthetic, and a 3D video game level with a more stylized science-fantasy look. Across these two projects, learners will complete tasks including importing assets, manipulating materials, creating prefabs, adding lighting, setting up character models, and building cutscenes. About the Instructor Unity Technologies is the creator of the worlds most widely used real-time 3D (RT3D) development platform, giving developers around the world the tools to create rich, interactive 2D, 3D, VR and AR experiences. Our 1000 person engineering team keeps Unity at the bleeding-edge of technology by working alongside partners such as Facebook, Google, Microsoft, and Oculus to ensure optimized support for the latest releases and platforms. Experiences made with Unity reach nearly 3 billion devices worldwide, and were installed 24 billion times in the last 12 months. Unity is powering RT3D in architecture, automotive, construction, engineering, film, games, and more. By successfully completing the projects in all four courses, participants will have had extensive, guided practice in the programming skills needed to pass the Unity Certified 3D Artist Programmer Eexam. Skill Level Intermediate What You Will Learn Select the relevant import settings for importing 3D assets into Unity Troubleshoot common issues with imported 3D assets Identify techniques to prototype scenes and maintain prefabs throughout the production cycle Recognize pro...
    Note: Online resource; Title from title screen (viewed June 5, 2019)
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  • 9
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 50 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 4+ Hours of Video Instruction Put learning into practice with Tableau LiveLessons for the aspiring visual data storyteller. There is a data revolution happening across the globe. From academics to politics and everywhere in between, the world’s stories are being told through their data points. Although telling stories about data isn’t new, we are now telling them in ways that are more meaningful and impactful than ever before as an emerging new class of visualizations attempts to tell the world’s stories through the power of data visualization. However, visual data storytelling is not an inherent skill, and data stories differ from traditional storytelling in many ways. Further, while robust visualization tools support rich and diverse forms of visual data storytelling capabilities, crafting a compelling data narrative is not a process that we can rely on a tool to do for us. These lessons provide a hands-on foundation for users to learn how to craft visual data narratives using the most appropriate visualizations, apply visual design to engage their audience, and purposefully structure a narrative framework to deliver a compelling, actionable data story that invites discovery, solicits new questions, or offers alternative explanations–all using one of the most powerful and ubiquitous visualization tools on the market today, Tableau. Skill Level Beginner Learn How To- Tell visual stories that communicate insights and make an impact Leverage questions to design logical and fruitful data collection and analysis Create important graphs in Tableau and know which chart to use Utilize concepts of design in data visualization and storytelling Storyboard your story for your message based on your audience Direct your audience's attention to the most important parts of your data story Design effective business presentations to showcase your data story with Tableau Who Should Take This Course Analysts sharing the results of their data discovery or analysis Students communicating data for reports or presentations Teachers helping learners (of any age) to cultivate visual data literacy Executives and business managers reporting data-driven results or metrics Journalists giving data the starring role in their editorials Course Requirements A willingness to learn how to tell stories through data Access to Tableau Desktop (Windows or Mac), version 10 or higher Related Files The supplemental content for this LiveLesson can be downloaded from Githuub at: https:...
    Note: Online resource; Title from title screen (viewed February 12, 2019)
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  • 10
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 49 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    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. 6+ Hours of Video Instruction Description Learn the main concepts and techniques used in modern machine learning and deep neural networks through numerous examples written in PyTorch. Overview This course begins with the basic concepts of machine and deep learning. Subsequently, you gain a reasonable familiarity with the main features of PyTorch and learn how it can be applied to some popular problem domains. About the Instructor David Mertz has been involved with the Python community for 20 years, with data science (under various earlier names), and with machine learning (since way back when it was more likely to be called “artificial intelligence”). He was a director of the Python Software Foundation for six years and continues to serve on, or chair, a variety of PSF working groups. He has also written quite a bit about Python: the column “Charming Python” for IBM developerWorks, for many years; the book Text Processing in Python (Addison-Wesley, 2003); and two short books for O’Reilly. He created the data science training program for Anaconda, Inc., and was a senior trainer for them. Skill Level Intermediate Learn How To Apply various machine and deep learning techniques Understand the difference between various machine and deep learning libraries Create classifiers Enhance an existing classifier Who Should Take This Course Programmers and statisticians interested in using Python and the PyTorch library to implement machine learning Course Requirements Programming experience Lesson Descriptions Lesson 1: What Is Machine Learning? What Is Deep Learning The first lesson begins with a high-level overview of the course. It then presents general concepts in machine learning and concepts specifically relevant to neural networks and deep learning. Ideas every data scientist should understand are discussed. The main libraries available for machine learning, and for deep learning specifically, are presented with an eye toward their comparison to PyTorch. The lesson contains an overview of basic concepts in neural networks. Also discussed is the basic idea of a perceptron and the enormous expansion of simple models with hardware that has b...
    Note: Online resource; Title from title screen (viewed November 11, 2019)
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  • 11
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 18 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: AWS Account Setup Best Practices 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 screen (viewed November 7, 2019)
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  • 12
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 25 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 3+ Hours of Video Instruction Overview Implementing effective monitoring in Amazon Web Services (AWS) requires a fundamental understanding of several services and features in the ecosystem. AWS Monitoring Strategies Livelessons was specifically created to focus on monitoring in AWS to explain the various tools available in the AWS ecosystem for monitoring, including performance, availability, log, and security monitoring features. Monitoring is a critical piece of infrastructure that is often neglected. Monitoring in the cloud, and in AWS specifically, requires knowledge of specific principles as well as hands-on experience working with monitoring services and features. This course is dedicated to providing that knowledge, along with enough demonstrations to show how implementation actually works. About the Instructor Chad Smith is the principal cloud architect at Brightkey.cloud. He is a certified architect for both Amazon Web Services and Google Cloud Platform. He brings a wealth of relevant experience in cloud adoption, infrastructure design, data security, and cloud operations. Chad holds current AWS certifications in Architecture (Associate and Professional), SysOps, and Security. Skill Level Beginner/Intermediate Learn How To Determine the best monitoring services for your situation Determine the difference between passive and active response Use CloudWatch Dashboard Navigate a Route 53 Failover and Route 53 health checks Use logs and metrics to determine what is happening to your system Use thresholds and alarms Use CloudTrail, GuardDuty, AWS Config, and AWS Systems Manager Who Should Take This Course AWS architects AWS SysOps professionals AWS security professionals Beginner to intermediate AWS users Course Requirements Basic understanding of the AWS ecosystem and infrastructure architecture Working knowledge of traditional monitoring techniques Experience with automation strategies, including scripting languages Lesson descriptions Lesson 1, "Foundations of Monitoring," covers the elements of a 360-degree view of infrastructure and the differences between passive and active responses to alarms. Lesson 2, "Monitoring in AWS Overview," discusses how monitoring in AWS differs from monitoring traditional architectures in an on-premises data center. Monitoring access, permissions are covered along with hybrid architectures and how they make monitoring more complicated. Lesson 3, "Performance Monitoring," introduces CloudWatch and its dashb...
    Note: Online resource; Title from title screen (viewed November 20, 2019)
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  • 13
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 11 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 7 Hours of Video Instruction Data Engineering with Python and AWS Lambda LiveLessons shows users how to build complete and powerful data engineering pipelines in the same language that Data Scientists use to build Machine Learning models. By embracing serverless data engineering in Python, you can build highly scalable distributed systems on the back of the AWS backplane. Users learn to think in the new paradigm of serverless, which means to embrace events and event-driven programs that replace expensive and complicated servers. Description Some of the many benefits of programming with AWS Lambda in Python include no servers to manage, continuous scaling, and subsecond metering. Several use cases include data processing, stream processing, IoT backends, mobile, and web applications. Learn to take advantage of a new paradigm in software architecture that will make your code easier to write, maintain, and deploy. AWS Lambda functions are the building blocks for creating sophisticated applications and services on AWS. In this LiveLesson, you learn to use Python to develop Lambda functions that communicate with key AWS services: API Gateway, SQS, and CloudWatch functions. You also learn how a new cloud-based development environment, Cloud9, can streamline writing, debugging, and deploying AWS Lambda functions. About the Instructors Noah Gift is a lecturer and consultant at both the UC Davis Graduate School of Management MSBA program and the Graduate Data Science program, MSDS, at Northwestern. He is teaching and designing graduate Machine Learning, AI, and Data Science courses, and consulting on Machine Learning and Cloud Architecture for students and faculty, including leading a multi-cloud certification initiative for students. Noah is a Python Software Foundation Fellow, AWS Subject Matter Expert (SME) on Machine Learning, AWS Certified Solutions Architect and AWS Academy Accredited Instructor, Google Certified Professional Cloud Architect, and Microsoft MTA on Python. Noah has published close to 100 technical publications, including two books on subjects ranging from Cloud Machine Learning to DevOps. Gift received an MBA from UC Davis, an M.S. in Computer Information Systems from Cal State Los Angeles, and a B.S. in Nutritional Science from Cal Poly San Luis Obispo. Currently, he is consulting startups and other companies on Machine Learning, Cloud Architecture, and CTO level consulting as the founder of Pragmatic AI Labs. His most recent ...
    Note: Online resource; Title from title screen (viewed August 29, 2019)
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  • 14
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 17 hr., 14 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: More Than 17 Hours of Video Instruction More than 17 hours of video instruction on Amazon Web Services with coverage on cloud computing and available AWS services, as well as a guided hands-on look at using services such as EC2 (Elastic Compute Cloud), S3 (Simple Storage Service), and more. Overview Amazon Web Services (AWS) LiveLessons is a unique video product designed to provide a solid foundational understanding of the Amazon Web Services (AWS) infrastructure-as-a-service (IaaS) products. The course covers concepts necessary to understand cloud computing platforms, distributed computing, multi-tier architectures, virtual machines, storage, databases, analytics, high availability, and much more. This course has been designed to show just how simple and cost-effective it is to achieve a superior level of high-availability, fault-tolerance, security, and reduced operational burden in your infrastructure and applications. Detailed throughout the course are a number of use cases designed to spark your imagination and exemplify well-architected solutions within the rich and varied ecosystem that is Amazon Web Services. You can also use this video as a secondary resource to help you study for the AWS Cloud Practitioner and Solutions Architect Exams. Since the first edition of this course, AWS has added many new services to their offerings, as well as many new features to existing services. The AWS web-based management console has also seen significant updates and improvements. In this second edition, many of those new services and features are covered, and all new diagrams have been provided to more accurately represent those you will see in a real-world scenario. The new edition also includes all new demos to account for changes in the AWS management console user interface. Amazon Web Services (AWS) LiveLessons contains 14 independent video lessons totaling almost 13 hours of instruction. The videos contain in-depth instruction using live demos, slide instruction, and video captures. Demonstrations of Amazon Web Services and third-party cloud solutions are included to provide necessary context and experience for further study and use of AWS. Skill Level Beginner/All levels Learn How To Get started with AWS, including networking, computing, storage, managing databases, and security Understand cloud-computing platforms, and how AWS fits into them Use EC2, CloudWatch, S3 Buckets, and more Use IAM, VPC, NACLs, AMI, ECS, EKS, EBS, and other various t...
    Note: Online resource; Title from title screen (viewed March 26, 2019)
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  • 15
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 hr., 56 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: More than 8 Hours of Video Instruction Overview Advanced Web Development in Python with Django LiveLessons is intended for people familiar with web development who understand the basics of Django and want to get more out of it but are unfamiliar with more difficult topics such as authentication, database query optimization, and caching. The course builds directly on top of Andrew Pinkham's previous course, Web Development in Python with Django LiveLessons, starting with the same code base where the class left off and building new features in the same project, making for a clear and clean learning progression. While the previous course is not a hard prerequisite, the prerequisites for that course and the concepts introduced in it will be necessary to understand the videos. A review lesson enables people to judge for themselves whether the course is appropriate for their level. About the Instructor Andrew Pinkham is the founder and lead engineer at JamBon Software, which provides development consulting services. He is the author of Django Unleashed †(Pearson) and a popular speaker at DjangoCon U.S., and provides instruction in Python and Django. Andrew specializes in web and mobile products and enjoys communicating complex ideas in simple ways. He is also passionate about usability, security, and distributed systems. He is a 2009 graduate of Dartmouth College and currently resides in Boston, Massachusetts. Skill Level Intermediate Learn How To Write tests for Django Implement authentication in Django Optimize Django performance Enhance applications Enable user media and processing with a Celery queue Utilize asynchronous Python Who Should Take This Course Python programmers and other software developers interested in leveraging the Django web framework to build web applications Course Requirements Python programming experience Lesson Descriptions Lesson 1: Dip Your Toes Into Test Writing Lesson 1 starts off the course with testing, which is crucial to successful software development. The lesson begins by looking at the why, what, and how of testing, and then dives into how to test all the different components in Django. You also get a taste of Django's check framework. Lesson 2: Protect Site Access with Authentication Lesson 2 starts with authentication, or login and logout, but the focus is not limited to just that. As always, the lesson begins by discussing the fundamentals, and then dives into how they work with Django. We'll build login and...
    Note: Online resource; Title from title screen (viewed November 22, 2019)
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    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 7 hr., 40 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: More than 7.5 Hours of Video Instruction Overview Nearly every company in the world is evaluating its digital strategy and looking for ways to capitalize on the promise of digitization. Big data analytics and machine learning are central to this strategy. Understanding the fundamentals of data processing and artificial intelligence is becoming required knowledge for executives, digital architects, IT administrators, and operational telecom (OT) professionals in nearly every industry. In Data Analytics and Machine Learning Fundamentals LiveLessons , experienced CCIEs Robert Barton and Jerome Henry provide more than 7 1/2 hours of personal instruction exploring the principles of big data analytics, supervised learning, unsupervised learning, and neural networks. In addition to delving into the fundamental concepts, Barton and Henry address sample big data and machine learning use cases in different industries and present demos featuring the most common tools (such as Hadoop, TensorFlow, Matlab/Octave, R, and Python) in various fields used by data scientists and researchers. At the conclusion of this video course, you will be armed with knowledge and application skills required to become proficient in articulating big data analytics and machine learning principles and possibilities. Skill Level Beginner to intermediate data analytics/machine learning knowledge Learn How To * Understand how static and real-time streaming data is collected, analyzed, and used * Understand the key tools and methods that enable machines to learn and mimic human thinking * Bring together unstructured data in preparation for analysis and visualization * Compare and contrast the various big data architectures * Apply supervised learning/linear regression, data fitting, and reinforcement learning to machines to yield the information results you’re looking for * Apply classification techniques to machine learning to better analyze your data * Exploit the benefits of unsupervised learning to glean data you didn’t even know you were looking for * Understand how artificial neural networks (ANNs) perform deep learning with surprising (and useful) results * Apply principal components analysis (PCA) to improve the management of data analysis * Understand the key approaches to implementing machine learning on real systems and the considerations you must make when undertaking a machine learning project Who Should Take This Course * Anyone who wants to learn about machine learni...
    Note: Online resource; Title from title screen (viewed April 2, 2019)
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    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 49 hr., 17 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Royalties for this video set help fund ODSC community initiatives such as grants to open source projects, our diversity program, student travel grants, and other initiatives. The Open Data Science Conference has established itself as the leading conference in the field of applied data science. Each ODSC event offers a unique opportunity to learn directly from the core contributors, experts, academics and renowned instructors helping shape the field of data science and artificial intelligence Presentations cover not only data science modeling but also the languages and tools needed to deploy these models in the real world such as TensorFlow, MXNet, scikit-learn, Kubernetes, and many more. Our conferences are organized around focus areas to ensure our attendees are at the forefront of this fast emerging field and current with the latest data science languages, tools, and models. You’ll find in our East 2018 video catalog some of our most popular focus areas including: Deep Learning and Machine Learning Over the last 5 years, we have seen incredible advances in the field of data scientist thanks to breakthroughs in neural networks, transfer learning, reinforcement learning, and generative adversarial networks (GANs) to name a few. With the advent of Google Voice, Alexa, and other voice assistants, presentations on enabling technologies like NLP, RNNs, and LSTM are popular. Some session to note: OS for AI: How Serverless Computing Enables the Next Gen of ML—Jon Peck pomegranate: Fast and Flexible Probabilistic Modeling in Python—Jacob Schreiber Data Wrangling to Provide Solar Energy Access Across Africa—Brianna Schuyler, PhD The past, present, and future of Automated Machine Learning—Randy Olson, PhD Minimizing and Preventing Bias in AI—Frances Haugen Deep Learning on Mobile—Anirudh Koul State of the Art Natural Language Understanding at Scale—David Talby, PhD Latest Developments in GANS—Seth Weidman How to Reason About Stateful Streaming Machine Learning Serving—Lessons from Production—Patrick Boueri An Introduction to Active Learning—Jennifer Prendki, PhD How to use Satellite Imagery to be a Machine Learning Mantis Shrimp—Sean Patrick Gorman, PhD Core Data Science and Data Visualization As data science advances at a rapid pace, core skills are more important than ever. Our sessions range from beginner to advanced level for core topics. Additionally, data and models need to be actionable and data visualization remains a key skill in any data sci...
    Note: Online resource; Title from title screen (viewed July 15, 2019)
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    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 7 hr., 18 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 6+ Hours of Video Instruction Learn the main concepts and techniques used in modern machine learning through numerous examples written in scikit-learn Overview Machine Learning with scikit-learn LiveLessons is your guide to the scikit-learn library, which provides a wide range of algorithms in machine learning that are unified under a common and intuitive Python API. Most of the dozens of classes provided for various kinds of models share the large majority of the same calling interface. Quite often you can easily substitute one algorithm for another with very little or no change in your underlying code. This enables you to explore the problem space quickly and often to arrive at an optimal–or at least satisficing–approach to your problem domain or datasets. The scikit-learn library is built on the foundations of the numeric Python stack. It uses NumPy for its fundamental data structures and optimized performance, and it plays well with pandas and matplotlib. It is free software under a BSD license. The great bulk of machine learning programming in Python is done with scikit-learn—at least outside the specialized domain of deep neural networks. About the Instructor David Mertz has been involved with the Python community for 20 years, with data science, (under various previous names) and with machine learning since way back when it was more likely to be called “artificial intelligence.” He was a director of the Python Software Foundation for six years and continues to serve on, or chair, a variety of PSF working groups. He has also written quite a bit about Python: the column Charming Python for IBM developerWorks, for many years; Text Processing in Python (Addison-Wesley, 2003); and two short books for O’Reilly. He created the data science training program for Anaconda, Inc., and was a senior trainer for them. Skill Level Intermediate Learn How To Use various machine learning techniques Explore a dataset Perform various types of classification Use regression, clustering, and hyperparameters Use feature engineering and feature selection Implement data pipelines Develop robust train/test splits Who Should Take This Course Programmers and statisticians interested in using Python and the scikit-learn library to implement machine learning Course Requirements Programming experience Table of Contents Introduction Lesson 1: What Is Machine Learning? Lesson 2: Exploring a Dataset Lesson 3: Classification Lesson 4: Regression Less...
    Note: Online resource; Title from title screen (viewed January 1, 2019)
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    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 46 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    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 screen (viewed September 23, 2019)
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    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 0 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Computer networks rely on many forms of abstraction to scale‚Äìindeed, to operate at all. While at least some of this abstraction is visible, such as route aggregation and flooding domain boundary summarization, much of it is hidden in unexpected places, such as in the logical construction of a network device, in the operation of BGP route reflectors, and in the data plane protocol stack. Abstraction in Computer Networks LiveLessons considers abstraction in theory and practice across many of the places it is used in building network devices, network software, and networks. Tradeoffs and common problems are considered, and the relationship between abstraction and complexity is discussed. Viewers learn how to think about what abstraction hides, and why it is important to hide each of these things. They also learn how to look in unexpected places for abstraction, how to think about leaky abstractions, and how Keith’s Law and the first corollary to Keith’s Law impact abstraction, including unintended consequences. Abstraction also relates to the State/Optimization/Surface tradeoff triad, so a section of this LiveLesson considers that tradeoff and how abstraction controls the speed and amount of state, impacts the depth and breadth of interaction surfaces, and reduces optimization. About the Instructor Russ White has more than 25 years of experience in designing, deploying, breaking, and troubleshooting large-scale networks. In that time, he has co-authored more than 40 software patents, has spoken at venues throughout the world, has participated in the development of several Internet standards, has helped develop the CCDE and the CCAr, and has worked in Internet governance with the ISOC. Russ is currently a member of the artchitecture team at LinkedIn, where he works on next-generation data center designs, complexity, security, and privacy. His most recent books are The Art of Network Architecture , Navigating Network Complexity , and Problems and Solutions in Network Engineering . MSIT Capella University, MACM Shepherds Theological Seminary, PhD in progress from Southeastern Theological Seminary CCIE No. 2635, CCDE 2007:001, CCAr Skill Level Beginner-Intermediate strong〉Learn How To Find and understand abstraction, including hidden abstractions, in a network Find and understand the tradeoffs between abstraction, complexity, understandability, and network optimization Understand the relationship between Keith’s Law, the first corollary to Keith’s ...
    Note: Online resource; Title from title screen (viewed June 28, 2019)
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    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 39 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 9+ Hours of Video Instruction While there are resources for Data Science and resources for Machine Learning, there's a distinct gap in resources for the precursor course to Data Science and Machine Learning. This complete video course fills that gap--it is specifically designed to prepare students to learn how to program for Data Science and Machine Learning with Python. This is the antidote to the over-complicated universe of these hot new, growing technologies. With this course, students will learn the fundamentals of Python and get prepared specifically for Data Science. Noah Gift and Kennedy Behrman take students with zero programming background through enough Python to prepare them for their Data Science curriculum. Companies are looking for developers who can create insight-driven systems, as they are now becoming critical to business success. Very few professionals are adequately trained to handle both large-scale software engineering and Machine Learning/AI. This is an emerging field, and we are developing the training to meet this need in the marketplace. Description Notebook-based Data Science programming in Python is the emerging standard but there is a dearth of quality training material available for beginners. This 9-hour video provides foundational training on the Python language for the novice or beginner programmer looking to start in the Data Science field. The video serves as the 100-level course for a Data Science undergraduate or graduate program. The course has been designed around Colab notebook-based learning. Students would be able to run every exercise shown in the videos. The material focuses on a smaller, easier subset of Python that is needed just for Data Science coding. Skill Level Beginner What You Will Learn Learn Google Colab notebook Data Science programming Learn the essential subset of Python used in Data Science Learn to manipulate data using popular Python libraries such as pandas and numpy Learn to apply Python Data Science recipes to real-world projects Learn functional programming fundamentals unique to Data Science Who Should Take This Course Complete beginners to programming Statisticians and Analysts in the data industry looking to use Python for Data Science Sales, Product Managers, Data Analysts, Marketing who want to perform Data Science Software Engineers looking to level up into Data Science and Machine Learning tracks Students enrolled in a Data Science program Course Requirements General comp...
    Note: Online resource; Title from title screen (viewed April 2, 2019)
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    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 26 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The companion videos for Learning Amazon Web Services (AWS) , the The Practical, Foundational Technical Introduction to the World’s #1 Cloud Platform Learning Amazon Web Services (AWS) is the perfect foundational resource for all administrators, developers, project managers, and other IT professionals who want to plan and deploy AWS services and/or earn AWS certification. Top cloud trainer and evangelist Mark Wilkins teaches best practices that align with Amazon’s Well-Architected Framework, introduces key concepts in the context of a running case study, carefully explains how core AWS services operate and integrate, and offers extensively tested tips for maximizing flexibility, security, and value. Companion online videos guide you step-by-step through setting AWS compute, storage, networking, scale, security, automation, and more. Balance cost, compliance, and latency in your service designs Choose the right networking options for your virtual private cloud (VPC) Build, host, launch, manage, and budget for EC2 compute services Plan for scale and resiliency, and make informed decisions about AWS storage Enforce strict security, and automate to improve operational efficiency
    Note: Online resource; Title from title screen (viewed August 3, 2019)
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    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 1 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 4+ Hours of Video Instruction Machine Learning is the scientific study of models and algorithms that train a computer to make predictions without explicit instruction. Machine Learning is a subset of Artificial Intelligence, which can be defined as computers that mimic human problem-solving. This video demonstrates the core principles of Machine Learning and AI, including supervised Machine Learning, unsupervised Machine Learning, neural networks, and social network theory. Learn to master the foundational concepts of AI and Machine Learning. The LiveLessons video starts with an overview of Artificial Intelligence and covers applications of AI across industries and opportunities in AI for individuals, organizations, and ecosystems. It also covers the difference between narrow, general, and super AI. Description Shore up the foundational knowledge necessary to work with Artificial Intelligence and Machine Learning! This LiveLesson video covers the core principles of Artificial Intelligence and Machine Learning, including how to frame a problem in terms of Machine Learning and how Machine Learning is different than statistics. Learn about fundamental concepts including nearest neighbors, decision trees, and neural networks. The video wraps up covering timely machine learning topics such as cluster analysis, dimensionality reduction, and social networks. Access the code repository for this LiveLesson at https://github.com/noahgift/fundamentals_ai_ml . About the Instructor Noah Gift is lecturer and consultant at UC Davis Graduate School of Management MSBA program the Graduate Data Science program, MSDS, at Northwestern, the Graduate Data Science program at UC Berkeley. He is teaching and designing graduate Machine Learning, AI, Data Science courses and consulting on Machine Learning and Cloud Architecture for students and faculty. These responsibilities include leading a multi-cloud certification initiative for students. Noah is a Python Software Foundation Fellow, AWS Subject Matter Expert (SME) on Machine Learning, AWS Certified Solutions Architect and AWS Academy Accredited Instructor, Google Certified Professional Cloud Architect, and Microsoft MTA on Python. Noah was selected to the SME Machine Learning team due to accomplishments in the area of Machine Learning on the AWS platform. He has published more than 100 technical publications, including several books on subjects ranging from Cloud Machine Learning to DevOps. Gift received an MBA fro...
    Note: Online resource; Title from title screen (viewed September 5, 2019)
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    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 59 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    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. 4+ Hours of Video Instruction Overview The need for unstructured data management has grown beyond what many have expected with overwhelming amounts of data being generated from social media, cell phones, voice and video data, cars, smart technology, and IoT. How can we store this data and allow ourselves to build applications not strictly tied to a structure defined by columns in a table? You can do so with unstructured databases such as MongoDB! MongoDB is the premier database in the NoSQL landscape, and this course provides the fundamental concepts and tools needed to make use of dynamic database systems. If you have SQL experience and want to expand to NoSQL databases, or if you’re fairly new to databases but you want to understand what all the hype around MongoDB is about, this course is your ticket! Description This LiveLesson gives first-time MongoDB users what they need to become successful database developers. Caleb Curry starts by clearly defining what MongoDB is and when you should consider it over a relational database. Throughout the course, Curry shows best practices on how to use MongoDB properly and avoid common pitfalls. He covers structured versus unstructured data, setup and getting started, CRUD commands (create, read, update, delete), aggregation, data models, transactions, indexes, security and authentication, administration, storage engines, and more. After finishing this course, users can create and manage a MongoDB database for their own data-driven applications. About the Instructor Caleb Curry is a popular tech YouTuber, independent software developer, and ex-IBMer. Caleb has successfully taught thousands of people to code with languages such as Java, C#, JavaScript, C, and SQL. He looks forward to the opportunity to help people experience the pleasures of coding. With a fun personality yet great attention to technical detail, Caleb’s trainings are enjoyable and effective. Skill Level Beginning to Intermediate What You Will Learn Learn the differences between structured and unstructured data Understand JSON, nested documents, and references Deploy a MongoDB cluster in the cloud using MongoDB Atlas Interface...
    Note: Online resource; Title from title screen (viewed October 22, 2019)
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    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 1 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 5+ Hours of Video Instruction As all companies become software companies, the reliability of software becomes an integral part of a business' success. Continuous testing is critical for delivering robust software and increasing reliability and confidence when software is released. Without constant validation, failure is imminent. Continuous integration allows developers to automate the debugging of new code as it is integrated and identify problems early in the release process. Jenkins is a widely used CI/CD platform, but the lack of a thorough understanding of best practices and scalability is pervasive. It is easy to install Jenkins, but it is difficult to get it right. This course walks you through industry standard best practices to deploy and maintain continuous testing with Jenkins. In this course, you learn how to deploy and configure a Jenkins instance with a real-world use case scenario. Description Cloud technology advancement has changed the face of the tech world, with more emphasis on continuous integration and delivery. Learn how to deploy, configure, and take advantage of Jenkins for Continuous Integration and Continuous Delivery (CI/CD) and pipeline-like workflows. This LiveLesson walks you through the industry standard best practices of deploying Jenkins in a continuous testing environment. Learn to create fully functional Jenkins servers based on Infrastructure as Code (IaC) as well as deploy Jenkins in both AWS and Google Cloud. Learn the advanced features of Jenkins, including the Jenkins Job Builder. Finally, learn several real-world Jenkins deployment case studies. The associated code can be accessed at: https://github.com/alfredodeza/static and https://github.com/alfredodeza/pipeline-jobs About the Instructor Noah Gift is a lecturer at UC Davis Graduate School of Management MSBA program, the Graduate Data Science program, MSDS, at Northwestern, the Data Science program at UC Berkeley, and the USF Health Informatics program. He is teaching and designing graduate Machine Learning, AI, Data Science courses, and consulting on Machine Learning and Cloud Architecture for students and faculty. These responsibilities include leading a multi-cloud certification initiative for students. Noah is also a Python Software Foundation Fellow, AWS Subject Matter Expert (SME) on Machine Learning, AWS Certified Solutions Architect and AWS Academy Accredited Instructor, Google Certified Professional Cloud Architect, and Microsoft MT...
    Note: Online resource; Title from title screen (viewed December 19, 2019)
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    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 31 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 11 Steps to Awesome with Kubernetes, Istio, and Knative LiveLessons Sneak Peek 7 Hours of video 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 screen (viewed November 20, 2019)
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    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 29 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 4+ Hours of Video Instruction Google officially announced Kotlin as a first-class language for Android development, which makes it the only language apart from Java officially supported on the platform. Adoption of Kotlin is growing steadily since its release of version 1.0 in 2016. With companies like Netflix, Uber, Pinterest, and Trello actively using it, we can expect the adoption of Kotlin to grow significantly in the near future. There is very little pointed and in-depth coverage from developers for developers at this stage. With Kotlin from the Ground Up LiveLessons , we attempt to fulfill the requirements of developers who want to get acquainted with Kotlin and its features. Kotlin was designed to be an industrial-strength, object-oriented language—and a "better language" than Java—but still be fully interoperable with Java code, allowing companies to make a gradual migration from Java to Kotlin. Description Kotlin is one of the most exciting new languages to come along in some time. Built with pragmatism and interoperability in mind, Kotlin is one of the easier languages to transition to for many Java developers. However, many who come to Kotlin are not coming from a Java background at all. In this course, we take a look at Kotlin from the ground up and cover the topics necessary for a solid understanding of Kotlin. In this course, we cover the basics of the language as well as delve in to some of the trickier aspects. We address topics such as builds and testing, generics, and extension functions. We even take a look at how Kotlin can help you write your own DSLs. We build up a tool set to help make you the most productive and happy Kotlin developer you can be. Skill Level Beginning to Intermediate What You Will Learn Write and build your first Kotlin program Leverage existing Java libraries seamlessly in your Kotlin code Create libraries in Kotlin that are accessible to Java developers Build basic DSLs to ease development pains in whatever domain you find yourself Who Should Take This Course Java developers who want to explore Kotlin Developers with no Java background but a desire to learn Course Requirements While there are a number of comparisons to Java throughout the material, Java knowledge or expertise is not required. These comparisons are largely used to highlight where Kotlin diverges from Java for the sake of those in the audience coming to Kotlin from Java. About Pearson Video Training Pearson publishes expert-led video tu...
    Note: Online resource; Title from title screen (viewed August 15, 2018)
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    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 8 hr., 16 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 8+ Hours of Video Instruction Learn just the essentials of Python-based Machine Learning on AWS and Google Cloud Platform with Jupyter Notebook. Description This 8-hour LiveLesson video course shows how AWS and Google Cloud Platform can be used to solve real-world business problems in Machine Learning and AI. Noah Gift covers how to get started with Python via Jupyter Notebook, and then proceeds to dive into nuts and bolts of Data Science libraries in Python, including Pandas, Seaborn, scikit-learn, and TensorFlow. EDA, or exploratory data analysis, is at the heart of the Machine Learning; therefore, this series also highlights how to perform EDA in Python and Jupyter Notebook. Software engineering fundamentals tie the series together, with key instruction on linting, testing, command-line tools, data engineering APIs, and more. The supporting code for this LiveLesson is located at http://www.informit.com/store/essential-machine-learning-and-ai-with-python-and-jupyter-9780135261095 . About the Instructor Noah Gift is lecturer and consultant at UC Davis Graduate School of Management in the MSBA program. He is teaching graduate machine learning and consulting on Machine Learning and Cloud Architecture for students and faculty. He has published close to 100 technical publications, including two books on subjects ranging from Cloud Machine Learning to DevOps. He is also a certified AWS Solutions Architect and an SME (Subject Matter Expert for Machine Learning for AWS). He has an MBA from UC Davis, an MS in Computer Information Systems from Cal State Los Angeles, and a BS in Nutritional Science from Cal Poly San Luis Obispo. Professionally, Noah has approximately 20 years of experience of programming in Python and is a member of the Python Software Foundation. He has worked in roles ranging from CTO, General Manager, Consulting CTO and Cloud Architect. This experience has been with a wide variety of companies including ABC, Caltech, Sony Imageworks, Disney Feature Animation, Weta Digital, AT&T, Turner Studios, and Linden Lab. In the past ten years, he has been responsible for shipping many new products at multiple companies that generated millions of dollars of revenue and had global scale. He is the founder of Pragmatic AI Labs, a training, consulting, and AI/ML product company that specializes in cloud native Machine Learning and AI Solutions. Skill Level Beginner What You Will Learn Introduces Data Science concepts and Python funda...
    Note: Online resource; Title from title screen (viewed August 24, 2018)
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    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 3 hr., 50 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Almost 4 hours of video instruction to help you learn the key concepts and features behind Kafka and how it can be used to solve many problems related to the transfer of data. Overview Apache Kafka Fundamentals LiveLessons provides a complete overview of Kafka and Kafka- related topics. The course begins with a general overview of Kafka and then dives into use cases and the design of Kafka. Learners are introduced to the concept of clusters as well as how to create producers and consumers. Additional topics, such as security, connectors, and streams, are covered. The course finishes with a discussion of how Kafka can be used with Big Data software. With detailed, hands-on code examples, provided with the intent to translate to a coding language of your choosing, learners are walked through multiple scenarios involving projects from Twitter, Netflix, Yahoo!, and other real-world scenarios. Topics include * Kafka concepts * Use cases * Kafka design * API overview * Installation and configuration * Clusters * Writing producers * Writing consumers * Kafka operations * Connectors * Streams What You Will Learn * A complete overview of Kafka * How to install and configure Kafka * How Kafka fits into the big picture of Big Data Who Should Take This Course? * IT professional who are responsible for implementing and maintaining their organizations' Big Data solution * IT managers who have an interest in understanding how Kafka can solve part of their Big Data issues Course Requirements Requires a basic knowledge of Linux and a programming language such as Java, Perl, Python, C, or Ruby. Lesson Descriptions Lesson 1, “Kafka Concepts”: You learn the essentials of what Kafka is, it's history, and some of the key concepts of the Kafka solution. We compare Kafka to other potential solutions and point out the major advantages of using it. Lesson 2, “Use Cases”: In this lesson you see how Kafka is used in real-world scenarios using projects from Twitter, Netflix, and Yahoo! Lesson 3, “Kafka Design”: In this lesson you learn the design principals of Kafka. You start by learning key features and concepts, including the Kafka APIs, topics, logs, producers, and consumers. You also learn different ways in which Kafka can be used, including as a message system, a storage system, and for stream processing. Lesson 4, “API Overview”: This lesson explores some basics of the producer and consumer APIs. The goal of this lesson is to start exploring the Java l...
    Note: Online resource; Title from title screen (viewed February 22, 2018)
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 18 hr., 5 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 17+ Hours of Video Instruction Take your 3D skills to the next level and explore what you can achieve with Blender Creating Stunning Scenes in Blender LiveLessons teaches you the entire process needed to turn your ideas into impressive 3D scenes using Blender, the best open source and free 3D creation suite. After you know the basics, this course will take your skills to a whole new level. Description This video training takes you through the entire process of organizing, modeling, texturing, lighting, rendering, and compositing a scene in Blender, the popular open source and free 3D-creation suite. This course shows different techniques and explains not only how to use them, but why they can be useful in different situations. Step-by-step screencast videos guide the viewer through the entire process. After watching this course, artists will know how to take a scene from a concept or idea to its finished result and use different modeling and texturing methods, each of which can be useful for the creation of different types of objects. They’ll also know how to light and render a scene to achieve realistic looking images. On top of that, viewers will be able to use techniques to work in teams, like scene and objects linking, so various people can simultaneously work on the same scene. About the Instructor Oliver Villar is a Spanish digital artist with more than 10 years of experience. In 2010, he discovered his passion for teaching, and he’s funded blendtuts.com and blendtuts.es, which are sibling websites where he teaches 3D design online for English and Spanish audiences. He’s a Blender Foundation Certified Trainer and author of the book Learning Blender: A Hands-On Guide for Creating 3D Animated Characters . After years working as a freelancer and for companies, Oliver is now fully dedicated to the creation of educational content, currently working as the co-director of Luke’s Escape , a 3D animated short film, created with Blender in collaboration with an international team. Skill Level Intermediate Learn How To Create a complete 3D scene from start to finish Successfully plan the creation process Use linked libraries to have an efficient workflow Use different techniques to model, unwrap, texture, and shade a set of objects Light, render, and composite a scene to achieve a beautiful result Who Should Take This Course People who are familiar with the basics of Blender, but want to learn the full 3D-creation process and improve their skills. ...
    Note: Online resource; Title from title screen (viewed June 5, 2018)
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 24 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 4+ Hours of Video Instruction Since being released by Facebook, GraphQL has been adopted as the API standard of choice by companies such as GitHub, Yelp, Intuit, and the New York Times. GraphQL improves upon REST APIs by providing an explorable and self-documented way of getting exactly the data you need for your application. Whether you're working on a mobile app or a dashboard view, no matter how small or large the project, GraphQL is an important new tool for any application developer to know. Description This 4+ hour LiveLesson video course provides a thorough overview about the why's, what's, and how's of GraphQL, an API query language that has been making waves in the developer community. Given its potential to become the new standard for creating data APIs, this video series will give you the tools to discuss its pros and cons and implement it in a project. The lessons start with a high-level introduction to the language, its features, and best practices for creating a production-ready API. In the latter part, the lessons provide guided tutorials for creating a GitHub dashboard using their existing API and building your own GraphQL API from scratch using either the Node.js or Django frameworks. Download the related files from http://www.informit.com/store/rethinking-rest-a-hands-on-guide-to-graphql-and-queryable-9780135381441 . About the Instructor Arianne Dee is a software developer and educator from the University of British Columbia. She loves Python for its versatility and community, and GraphQL because it makes APIs fun and intuitive. She is an instructor for Canada Learning Code and a maker at MakerLabs in Vancouver, BC. While working as a back-end developer at 7Geese, she worked on creating their GraphQL API in Django. Since then, she has done training, spoken at conferences, and developed her own GraphQL server library for Django. Skill Level Beginning to Intermediate What You Will Learn Learn all about GraphQL and its core features Learn how to consume a GraphQL API by building a simple Github client Build a GraphQL API from scratch in your choice of Node.js or Django Learn how to use the GraphiQL app to improve your GraphQL workflows Explore working with GraphQL mutations and directives Learn best practices for production environments: pagination, security, and caching Who Should Take This Course Django or Node developers who want to learn how to get started building a GraphQL API Front-end developers who want to learn how to...
    Note: Online resource; Title from title screen (viewed November 2, 2018)
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    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. 10+ Hours of Video Instruction Overview In Automating with Ansible LiveLessons we will be building on the Ansible Fundamentals LiveLessons foundation. To make sure that you don't miss anything essential, this course starts with an Ansible Basics getting started lab, which will involve setting up an environment where all of the Ansible basic skills will be reviewed. We will then move on to using DevOps. You will learn how Vagrant can be used to set up an environment with virtual machines, and set up an IT Infrastructure with Ansible that you can follow along through the author demonstrations. We will also discuss how to manage Windows, network equipment, as well as cloud infrastructure with Ansible. Next, we'll have a look at some of the more advanced Ansible features, such as working with roles, task control, and using Ansible Vault. Then we will discuss Ansible optimization and troubleshooting with walk-through examples. In the last lesson, we'll learn how to work with Ansible Tower, which helps you to efficiently use Ansible in a datacenter environment. This course compliments the Ansible Fundamentals LiveLessons course and can also be used as a secondary resource to get you started studying for the Red Hat Certificate of Expertise in Ansible Automation (exam 407). Topics include: Module 1: Setting up Ansible-based DevOps Environment Module 2: Advanced Ansible Features Module 3: Ansible Optimization and Troubleshooting Module 4: Ansible Tower About the Instructor Sander van Vugt has been teaching Linux classes since 1995 and has written more than 60 books about different Linux-related topics. Sander is a Red Hat Certified Instructor and has deep knowledge and understanding of Red Hat Enterprise Linux, including the upcoming Red Hat Enterprise Linux 7. He has been teaching Linux since 1994, and as a Red Hat Certified Examiner he is authorized to proctor different Red Hat exams. He is also a regular speaker on major Linux conferences all over the world. Skill Level Intermediate/Advanced Learn How To Review the basics of Ansible, including running Ad-hoc Commands and implementing Playbooks Implement DevOps using Vagrant, including s...
    Note: Online resource; Title from title screen (viewed November 3, 2018)
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 20 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 2+ Hours of Video Instruction Two and a half hours of video instruction introducing cloud concepts, the Google Cloud Platform ecosystem, the GCP foundational services, and starting points for implementation. Overview Getting Started with Google Cloud Platform LiveLessons teaches the basics of Google Cloud so you can better understand this key platform. Chad Smith, a Google and AWS certified instructor, designed this course to help you make sense of the choices available in GCP by providing a foundational view of cloud infrastructure, and how it differs from its on-premise counterpart. Through the use of demos and concept walk-throughs, you will learn all about commonly used services and how they integrate with one another and with on-premise infrastructures. Migrating to the cloud can be a journey full of misinformation and assumptions. In addition, the differences between on-premise IT infrastructure and cloud infrastructure make it difficult to understand which services can be appropriate for workloads. Worldwide, cloud-first strategies are being replaced by cloud-only strategies, and for companies who haven’t begun migration, the choices can be overwhelming. Topics include: Introduction to Cloud Computing Starting in GCP Security and Monitoring Foundational Services Application Development and Deployment Automation and Operations Next Steps Skill Level Beginner/Intermediate Learn How To Understand the difference between cloud and on-premise architecture Learn the starting points for GCP adoption Discover initial use cases for GCP foundational services Learn the next steps for increased adoption of GCP Chad Smith is the Principal Cloud Architect at Brightkey.cloud. He is a certified architect for both Amazon Web Services and Google Cloud Platform. He brings a wealth of relevant experience in cloud adoption, infrastructure design, data security and cloud operations. Chad holds current AWS certifications in Architecture (Associate and Professional), SysOps and Security. Who Should Take This Course Technical professionals who will be using GCP from many disciplines: IT, networking, security, development Project managers and decision-makers who will be responsible for cloud adoption Professionals who are already using cloud hosting providers such as AWS or Azure who want to compare those offerings with GCP Course Requirements Basic understanding of IT or software engineering or technology in general Lesson Descriptions Lesson 1: Introduction...
    Note: Online resource; Title from title screen (viewed May 24, 2018)
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 2 hr., 15 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 2+ Hours of Video Instruction Create an end-to-end data analysis workflow in Python using the Jupyter Notebook and learn about the diverse and abundant tools available within the Project Jupyter ecosystem. Overview The Jupyter Notebook is a popular tool for learning and performing data science in Python (and other languages used in data science). This video tutorial will teach you about Project Jupyter and the Jupyter ecosystem and get you up and running in the Jupyter Notebook environment. Together, we’ll build a data product in Python, and you’ll learn how to share this analysis in multiple formats, including presentation slides, web documents, and hosted platforms (great for colleagues who do not have Jupyter installed on their machines). In addition to learning and doing Python in Jupyter, you will also learn how to install and use other programming languages, such as R and Julia, in your Jupyter Notebook analysis. Skill Level Beginner Intermediate Learn How To Create a start-to-finish Jupyter Notebook workflow: from installing Jupyter to creating your data analysis and ultimately sharing your results Use additional tools within the Jupyter ecosystem that facilitate collaboration and sharing Incorporate other programming languages (such as R) in Jupyter Notebook analyses Who Should Take This Course Users new to Jupyter Notebooks who want to use the full range of tools within the Jupyter ecosystem Data practitioners who want a repeatable process for conducting, sharing, and presenting data science projects Data practitioners who want to share data science analyses with friends and colleagues who do not use or do not have access to a Jupyter installation Course Requirements Basic knowledge of Python. Download and install the Anaconda distribution of Python here . You can install either version 2.7 or 3.x, whichever you prefer. Create a GitHub account here (strongly recommended but not required). If you are unable to install software on your computer, you can access a hosted version via the Project Jupyter website (click on “try it in your browser”) or through Microsoft’s Azure Notebooks . 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 Certific...
    Note: Online resource; Title from title screen (viewed June 22, 2018)
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 5 hr., 20 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 5+ Hours of Video Instruction Organizations are seeking growth and change as their markets, competitors, and customers evolve rapidly. Most organizations and individuals are skilled and well-focused in their day-to-day skills, but this does not suggest they have the knowledge, skills, or ability to create a coordinated and lasting change. Organizations need to be able to alter culture and thinking to remain competitive in this challenging environment. This course teaches how to create and empower this change within the organization. Overview Enterprise Agile Transformation LiveLessons presents a model and a defined plan to transform your organization. Agile and Change consultant Robert Annis presents the Model for Activating Change in your Organization (MACO). Robert walks you through the three phases of MACO—Assessment, Preparation, and Delivery—which are intentionally simple and intended to be continuously repeated. These phases, along with successful Leadership change (also taught in the course) are the drivers for environmental change and enablement. Reviews "Genuinely one of the best training I've attended. One thing is to learn about concepts of agile, another completely different story is to know to successfully transform your organisation to move into agile ways of working, change its culture to agile. If your company is going through this extremely interesting but also challenging journey of agile transformation - I strongly recommend Enterprise Agile Transformation course to be taken by Leadership Team and Change Agents. It's a great combination of theory and practice - all delivered in a truly agile spirit by Robert - definitely worth your time." -Anna Pajak, PMO Manager, GSK About the Instructor Robert Annis started as a project manager, and the last couple of decades have led him through Scrum master roles to Agile coach and trainer to organizational transformation and leadership coaching‚Ķto now, simply change enabler. He works with leadership to help transform their organizations to enable positive change and increase their competitiveness. Robert has delivered training and coaching at Harvard and Villanova universities, to enterprises (including Lloyds of London, GlaxoSmithKline, Shell, Dell EMC, United Airlines, Bank of America, BNY Mellon, HP Madrid) and to governmental groups (US Dept. of Labor Statistics). This has led to a truly international body of work in many places and with many cultures; Macedonia, Poland, Spai...
    Note: Online resource; Title from title screen (viewed February 7, 2018)
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 1 hr., 37 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Over 90 Minutes of Video Instruction Description Being data-driven is a hot phrase, but what does it mean in practice? As the tide of digitization rises, every industry sector is poised to be transformed: digital manufacture such as 3D printing has commoditized prototyping and product development; mobile apps have put every business in direct contact with their customers; and the Internet of Things promises the ability to manipulate processes and environment. The result of this digitization is an unprecedented flood of data. The ability to make decisions based on this data, and to use it to experiment rapidly, has become an imperative for today’s companies who wish to play a part in tomorrow’s market. An "experimental enterprise" is a company whose infrastructure is designed to make experimentation possible and efficient. It is not about finding analytical fairy dust that you can sprinkle to make everything better, but rather a deep-rooted approach to operations, innovation, and competition. Although digitization is unquestionably an issue for the entire company, it places a laser focus on the IT organization. In a digitized marketplace, IT must transform from being "faster paper" to one in which it underpins strategic advantage. This is not an incremental change, but a radical reassessment. Within IT, there are six critical building blocks that can be used to build an experimental enterprise: the cloud, devops, and open source; agile development and platforms; and data science. This video introduces each of these building blocks in turn, and explains how the audience can use them in their own organizations to adapt and thrive under challenging and rapidly changing market conditions. About the Presenters John Akred, CTO With over 15 years in advanced analytical applications and architecture, John is dedicated to helping organizations become more data-driven. He combines deep expertise in analytics and data science with business acumen and dynamic engineering leadership. Sanjay Mathur, CEO Passionate about driving business forward with emerging technology, Sanjay has built his career on innovating with data and analytics. With broad experience in industry, Sanjay has had customer-facing roles leading global teams in product development, R&D, management consulting and sales. Edd Wilder-James, VP Technology Strategy Founder of the pioneering data conference, O’Reilly Strata, Edd is a respected voice in the worlds of data, open source and the web...
    Note: Online resource; Title from title screen (viewed February 17, 2017)
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 6 hr., 10 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: The media elements for Learn Ruby the Hard Way demonstrate key points in the text.
    Note: Online resource; Title from title screen (viewed April 7, 2016)
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 3 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Continuous Delivery Expert Interviews by Jez Humble is a set of one-on-one interviews with experts in the continuous delivery field. In this video series, Jez Humble interviews: Eric Ries on the Lean Startup methodology Gary Gruver on large scale Agile development Jesse Robbins on DevOps and cloud computing John Allspaw on DevOps and continuous delivery Elizabeth Hendrickson on Agile testing All author royalties for this video go to the non-profit organization Black Girls Code . About the Author: Jez Humble is a principal consultant with ThoughtWorks and co-author of Continuous Delivery (Addison Wesley, 2010). He has been fascinated by computers and electronics since getting his first ZX Spectrum aged 11, and spent several years hacking on Acorn machines in 6502 and ARM assembler and BASIC until he was old enough to get a proper job. He got into IT in 2000, just in time for the dot com bust. Since then he has worked as a developer, system administrator, trainer, consultant, manager, and speaker. He has worked with a variety of platforms and technologies, consulting for non-profits, telecoms, financial services and on-line retail companies. Since 2004 he has worked for ThoughtWorks and ThoughtWorks Studios in Beijing, Bangalore, London and San Francisco. He holds a BA in Physics and Philosophy from Oxford University and an MMus in Ethnomusicology from the School of Oriental and African Studies, University of London. He is presently living in the San Francisco Bay Area with his wife and daughters. Follow Jez Humble on Twitter: jezhumble
    Note: Online resource; Title from title screen (viewed December 31, 2015)
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    Online Resource
    [Erscheinungsort nicht ermittelbar] : Addison-Wesley Professional | Boston, MA : Safari
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 48 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: 4.5+ Hours of Video Instruction Analysis Techniques for Product Owners LiveLessons is a video training course providing methods for understanding project stakeholders, the organizational context in which a project is occurring, the need a project is trying to satisfy, how to build a shared understanding of the solution the project is delivering, and how to organize and persist solution information, all while knowing when to apply the techniques covered. Description Effective product owners utilize a combination of business analysis, user experience, and product-management skills to determine the right thing to build and to build a shared understanding with their teams. Analysis Techniques for Product Owners LiveLessons describes a set of simple yet powerful analysis techniques that product owners and team members who work with product owners can use to Understand stakeholders Understand context Understand the need Understand the solution(s) Organize and persist solution information Because no technique is appropriate in every situation, this course helps you determine the right time to use these techniques and the simplest way to apply them in order to establish a shared understanding of the problem and the best solutions to solve the problem. Related Books: Beyond Requirements: Analysis with an Agile Mindset Stand Back and Deliver: Accelerating Business Agility About the Instructor Kent J. McDonald uncovers better ways of delivering value by applying agile practices and helping others do it. His years of experience include work in business analysis, strategic planning, project management, and product development in a variety of industries, including financial services, health insurance, performance marketing, human services, nonprofit, and automotive. He is active in the business analysis and agile software development communities, helping people share stories about what does and does not work. Kent has a Bachelor of Science in industrial engineering from Iowa State University and an MBA from Kent State University. Skill Level Intermediate Learn How To Identify project stakeholders Understand the organizational context in which a project is occurring Identify the need that a project is trying to satisfy Build a shared understanding of the solution the project is delivering Organize and persist solution information Apply the appropriate analysis techniques for the situation Who Should Take This Course Product owners or peopl...
    Note: Online resource; Title from title screen (viewed December 29, 2015)
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