GH-300 : GitHub Copilot Certification Exam Preparation

Master GitHub Copilot: AI Coding, Prompt Engineering & GH-300 Exam Prep — Beginner to Pro in AI for Development

What you'll learn
Understand Responsible AI concepts, risks, and harm mitigation in AI tools
Identify different GitHub Copilot plans and features and set them up in VS Code
Use GitHub Copilot Chat, Inline Suggestions, Comment-to-Code, and Slash Commands effectively
Navigate Copilot CLI for command-line AI assistance
How GitHub Copilot works and handles data end-to-end
Apply prompt crafting and prompt engineering techniques for better AI-generated code
Use Copilot for learning new programming languages, debugging, writing documentation, and modernizing legacy applications
Leverage Copilot for SDLC management and productivity tracking using the Copilot Productivity API
Generate and improve unit tests, integration tests, and edge case tests with GitHub Copilot
Prepare for and succeed in the GH-300: GitHub Copilot Exam

Requirements
Basic knowledge of programming concepts (any language is fine)
Familiarity with Visual Studio Code or any IDE
A GitHub account (free or paid)
Curiosity to learn and explore AI-powered coding

Description
Supercharge your coding workflow with GitHub Copilot — The AI pair programmer that transforms the way you write, understand, and test code.In this hands-on GH-300 exam preparation course, you’ll learn everything from Responsible AI principles to advanced prompt engineering, all while mastering real-world developer workflows with GitHub Copilot in VS Code and the CLI.We’ll break down how GitHub Copilot works behind the scenes, teach you prompt crafting techniques for better AI output, and show you how to apply Copilot in debugging, writing documentation, generating tests, modernizing applications, and much more.With practical demos, real-world examples, and targeted exam preparation, you’ll gain both the confidence to pass the GH-300 certification and the skills to integrate AI coding assistance into your daily development process.By the end of this course, you'll be able to:Understand and apply Responsible AI principles in AI-assisted coding.Set up, configure, and use GitHub Copilot in VS Code and the CLI.Use Copilot Chat, Inline Suggestions, Comment-to-Code, and Slash Commands effectively.Master prompt crafting and engineering for accurate AI-generated code.Leverage Copilot for debugging, documentation, sample data generation, and modernizing legacy code.Generate and refine unit, integration, and edge case tests with Copilot.Explain how GitHub Copilot works and handles data from start to finish.Prepare confidently for the GH-300: GitHub Copilot Exam with exam-focused lessons and hands-on exercises.Whether you're a developer, DevOps engineer, data scientist, or a complete beginner in AI-assisted coding — this course will give you the solid foundation and hands-on experience you need to work effectively with GitHub Copilot and succeed in the GH-300 certification.

Who this course is for:
Developers & Software Engineers who want to boost productivity with AI tools, Students & Beginners aiming to learn GitHub Copilot from scratch, Tech Professionals preparing for the GH-300 GitHub Copilot Exam, Freelancers & Teams looking to integrate AI-assisted coding in workflows, Educators & Trainers who want to teach AI coding assistants effectively