The fastest, most effective way to prepare for the GitHub Copilot certification exam and hone your skills with the popular AI-powered programming tool

In the GitHub Copilot Certification Study Guide, tech entrepreneur and Pluralsight trainer, Tom Taulli, delivers a concise and accurate walkthrough of the AI-powered programming tool. Perfect for everyone preparing to take the new GitHub Copilot Certification exam, as well as programmers who regularly use the tool in their day-to-day work, this Study Guide helps you optimize your software development workflows, understand the structure of the test, and learn the material covered by it.

This book explains every topic covered by the GitHub Copilot Certification exam, including:

Responsible AI
GitHub Copilot plans and features
The inner workings of GitHub Copilot and how it handles data
Prompt crafting and prompt engineering
Developer use cases
Testing workflows with GitHub Copilot
Privacy fundamentals and context exclusions

From step-by-step tutorials of the GitHub Copilot installation process to proven exam-taking techniques from the experts at Sybex, the GitHub Copilot Certification Guide explores everything you need to understand to succeed on the test and improve your on-the-job coding performance. It offers:

Job-ready strategies and techniques for avoiding common generative AI-enhanced programming pitfalls and making use of its many benefits
Up-to-date descriptions of the most useful features and functions of GitHub Copilot, including Copilot Edits
Complimentary access to a practice Assessment Test, a Practice Exam, 100 digital flashcards, and a glossary of key terms on the Sybex online learning environment

Generative AI tools, like GitHub Copilot, have transformed the software engineering and programming landscapes. If you're preparing for the certification exam, or you wish to expand your AI coding skillset, grab a copy of the GitHub Copilot Certification Study Guide today.

About the Author

ABOUT THE AUTHOR

TOM TAULLI is an author, speaker, Pluralsight trainer, and startup advisor. He is the author of AI-Assisted Programming: Better Planning, Coding, Testing, and Deployment, as well as other AI-focused technology books.

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