GH-300: Github Copilot – Complete Exam Preparation Guide

About this course

This course contains the use of artificial intelligence.This course gives you a practical, step-by-step path to using GitHub Copilot safely and effectively in real development work. You will learn about Responsible AI, how GitHub Copilot works and handles data, and how to set it up and use it across different coding tasks.Through focused modules on Prompt Engineering, testing, privacy fundamentals, and real developer use cases, you will see how to integrate Copilot into your full development lifecycle.You will finish by building and testing a complete web app with GitHub Copilot, so you can apply what you learned immediately.What's in this course?Responsible AI – Explains Responsible AI concepts, risks, limitations, ethical use, and how to validate and mitigate issues when working with generative AI.GitHub Copilot Plans and Features – Shows you GitHub Copilot plans, privacy, setup in VS Code, core features like completions and chat modes, and how to use them in real coding tasks.How GitHub Copilot Works and Handles Data – Covers the data pipeline lifecycle, how Copilot processes and uses data, and the main limitations of Copilot and other LLMs.Prompt Crafting and Prompt Engineering – Teaches you what Prompt Engineering is, how context and chat history work, and how to design effective prompts and Prompt Files for better results.Developer Use Cases for AI – Demonstrates practical Copilot use cases such as learning new languages, debugging, refactoring, SDLC management, documentation, and understanding its limits and impact on productivity.Testing with GitHub Copilot – Guides you on using Copilot to add tests, find edge cases, configure privacy options, and cre

Course objectives

• teach the principles of Responsible AI
• demonstrate the functionality of GitHub Copilot
• guide on prompt crafting techniques
• showcase real developer use cases for AI in development
• explain testing methodologies with GitHub Copilot