GH-300: GitHub Copilot Certification Exam Prep 2026 Hands-On

About this course

Prepare for the GH-300: GitHub Copilot Certification Exam and master AI-powered development with a complete, hands-on training designed for modern developers.This comprehensive course takes you from beginner to advanced in GitHub Copilot, covering real-world workflows such as prompt engineering, AI interaction modes, testing, debugging, automation, performance optimization, and Responsible AI practices.You will learn how to use GitHub Copilot as an AI pair programmer inside VS Code, Chat, CLI, and MCP workflows, while understanding how Copilot works behind the scenes — including data handling, limitations, and best practices for safe AI usage.Unlike basic tutorials, this course focuses on practical development scenarios aligned with the GH-300 certification objectives, including:Copilot Ask, Plan, Edit, and Agent ModeBuilt-in Expert Agents like AI Agent Expert and Data Analysis ExpertPrompt Engineering and Context OptimizationSoftware Development Lifecycle (SDLC) use casesTesting strategies, edge-case validation, and code quality improvementsSecurity analysis and performance optimizationReal-world projects using Python, Java, CLI, and automation workflowsThrough structured lessons, quizzes, hands-on coding projects, and exam-focused explanations, you will gain both the confidence to pass the GH-300 exam and the practical skills needed to integrate AI into everyday development workflows.Whether you are a developer, student, DevOps engineer, or AI enthusiast — this course will help you unlock the full power of GitHub Copilot and future-proof your coding skills.

Course objectives

• equip students with the skills to pass the GH-300 exam
• teach practical uses of GitHub Copilot in software development
• foster understanding of responsible AI practices in coding