GH-300 Preparation Details
Preparing for the GH-300 GitHub Copilot certification exam? Start here with a complete, objective-wise GH-300 study guide designed to help you pass faster.
This guide brings together official Microsoft documentation, key concepts, and curated resources for every GH-300 exam objective, making it ideal for both beginners and last-minute revision.
Looking for the best GH-300 preparation resources in one place? This page covers everything you need to get exam-ready with confidence.
If this helped you, share it with others preparing for the GH-300 certification exam.
Exam Voucher for GH-300 with 1 Retake
Get 40% OFF with the combo
GH-300 Copilot Materials
| Udemy | GitHub Copilot Certification Exam Prep |
| Coursera | Mastering GitHub Copilot: From Setup to Real Projects |
| Whizlabs | GitHub Copilot Certification |
Use GitHub Copilot responsibly (15–20%)
Understand responsible AI principles
Describe risks and limitations of Generative AI tools
Responsible use of GitHub Copilot inline suggestions
Responsible use of GitHub Copilot Chat in your IDE
Responsible use of GitHub Copilot Chat in GitHub
Responsible use of GitHub Copilot cloud agent on GitHub.com
Responsible AI with GitHub Copilot – Training
Describe ethical and responsible AI usage
Responsible AI with GitHub Copilot – Training
GitHub Copilot Fundamentals Part 1 of 2 – Training
Artificial Intelligence overview – Microsoft Service Assurance
Identify potential harms and mitigation strategies of AI usage
Responsible use of GitHub Copilot inline suggestions
Responsible use of GitHub Copilot Chat in your IDE
Responsible use of GitHub Copilot cloud agent on GitHub.com
Responsible AI with GitHub Copilot – Training
Validate and operate AI tools
Explain the need to validate AI output
Responsible use of GitHub Copilot inline suggestions
Responsible use of GitHub Copilot Chat in your IDE
Responsible use of GitHub Copilot Chat in GitHub
Responsible AI with GitHub Copilot – Training
Identify how to operate GitHub Copilot responsibly
Responsible use of GitHub Copilot cloud agent on GitHub.com
Responsible use of GitHub Copilot inline suggestions
GitHub Copilot Fundamentals Part 1 of 2 – Training
Responsible AI with GitHub Copilot – Training
Use GitHub Copilot features (25–30%)
Use GitHub Copilot in the IDE
Enable Copilot in the IDE
Configuring GitHub Copilot in your environment
Trigger Copilot through inline suggestions, chat, CLI, and Plan Mode
Getting code suggestions in your IDE with GitHub Copilot
Asking GitHub Copilot questions in your IDE
GitHub Copilot code suggestions in your IDE
Exclude specific files or repositories (app knowledge)
Excluding content from GitHub Copilot
Adding repository custom instructions for GitHub Copilot
Use GitHub Copilot CLI
Define GitHub Copilot CLI and how it benefits developers
Identify the steps for installing GitHub Copilot CLI
Getting started with GitHub Copilot CLI
Describe key GitHub Copilot CLI features and commands
GitHub Copilot CLI command reference
GitHub Copilot CLI configuration directory
Use GitHub Copilot CLI interactively and in sessions
Getting started with GitHub Copilot CLI
Creating and using custom agents for GitHub Copilot CLI
Generate scripts and manage files with GitHub Copilot CLI
Adding agent skills for GitHub Copilot CLI
GitHub Copilot CLI command reference
Use GitHub Copilot features and capabilities
Use Agent Mode, Edit Mode, and MCP for enhanced development and workflows; manage Agent Sessions and delegate tasks to Sub‐Agents for optimized context usage
Asking GitHub Copilot questions in your IDE
About GitHub Copilot cloud agent
Enhancing GitHub Copilot agent mode with MCP
Creating and using custom agents for GitHub Copilot CLI
Model Context Protocol (MCP) and GitHub Copilot cloud agent
Use Copilot for code review and coding assistance
About GitHub Copilot code review
Using GitHub Copilot code review
Responsible use of GitHub Copilot code review
Utilize Spaces, Spark, Pull Request summaries, and customizable review standards via instructions files
Responsible use of GitHub Copilot pull request summaries
Adding repository custom instructions for GitHub Copilot
Using custom instructions to unlock the power of Copilot code review
Understand the limits, options, feedback, and commands of GitHub Copilot Chat; include prompt file reuse for consistent responses
Asking GitHub Copilot questions in your IDE
About customizing GitHub Copilot responses
Manage organization-wide settings and policies
Configure organization-wide policy management; enable Copilot Code Review policies and manage feature availability across IDEs and github.com
Managing policies and features for GitHub Copilot in your organization
Configuring automatic code review by GitHub Copilot
Utilize audit log events
Reviewing audit logs for GitHub Copilot
Reviewing audit logs for GitHub Copilot Business
Audit log events for your organization
Manage subscriptions using the REST API
REST API endpoints for GitHub Copilot Business
Choosing your enterprise’s plan for GitHub Copilot
Understand GitHub Copilot data and architecture (10–15%)
Describe data handling and flow
Explain data usage, flow, and sharing
GitHub Copilot Business Privacy Statement
Hosting of models for GitHub Copilot
GitHub General Privacy Statement
Describe input processing and prompt building
Responsible use of GitHub Copilot Chat in your IDE
Responsible use of GitHub Copilot Chat in GitHub
Responsible use of GitHub Copilot cloud agent on GitHub.com
GitHub Copilot Business Privacy Statement
Explain proxy filtering and post-processing
Hosting of models for GitHub Copilot
Responsible use of GitHub Copilot Chat in your IDE
Responsible use of GitHub Copilot inline suggestions
Understand lifecycle and limitations
Visualize code suggestion lifecycle
Responsible use of GitHub Copilot inline suggestions
GitHub Copilot code suggestions in your IDE
GitHub Copilot Business Privacy Statement
Responsible use of GitHub Copilot Chat in GitHub
Describe limitations of LLMs and Copilot
Responsible use of GitHub Copilot inline suggestions
Responsible use of GitHub Copilot Chat in your IDE
Responsible use of GitHub Copilot Chat in GitHub
Best practices for using GitHub Copilot
Responsible use of Copilot Autofix for code scanning
Apply prompt engineering and context crafting (10–15%)
Craft effective prompts
Describe prompt structure and context
Prompt engineering for GitHub Copilot Chat
Concepts for prompting GitHub Copilot
Getting started with prompts for GitHub Copilot Chat
Introduction to prompt engineering with GitHub Copilot – Training
Understand how context is determined
Prompt engineering for GitHub Copilot Chat
Responsible use of GitHub Copilot Chat in your IDE
Adding repository custom instructions for GitHub Copilot
Responsible use of GitHub Copilot Chat in GitHub
Use zero-shot and few-shot prompting
Introduction to prompt engineering with GitHub Copilot – Training
Prompt engineering for GitHub Copilot Chat
GitHub Copilot Fundamentals Part 1 of 2 – Training
Apply best practices for prompt crafting
Best practices for using GitHub Copilot
Prompt engineering for GitHub Copilot Chat
Best practices for GitHub Copilot CLI
Master the core principles of prompt engineering with GitHub Copilot
Engineer prompts for performance
Explain prompt engineering principles
Introduction to prompt engineering with GitHub Copilot – Training
Prompt engineering for GitHub Copilot Chat
GitHub Copilot Fundamentals Part 1 of 2 – Training
Prompt Engineering with GitHub Copilot – Video
Describe prompt process flow and chat history usage
Prompt engineering for GitHub Copilot Chat
Introduction to prompt engineering with GitHub Copilot – Training
Responsible use of GitHub Copilot Chat in your IDE
Responsible use of GitHub Copilot Chat in GitHub
Improve developer productivity with GitHub Copilot (10–15%)
Enhance productivity and code quality
Use Copilot for code generation, refactoring, and documentation
Refactoring code with GitHub Copilot
Refactoring code – Copilot Chat Cookbook
Choosing the right AI tool for your task
GitHub Copilot Fundamentals Part 1 of 2 – Training
Accelerate learning and reduce context switching
Best practices for using GitHub Copilot
Choosing the right AI tool for your task
Increasing test coverage in your company with GitHub Copilot
Generate sample data and modernize legacy code
Modernizing legacy code with GitHub Copilot
Modernizing Java applications with GitHub Copilot
Developer use cases for AI with GitHub Copilot – Training
Support testing and security
Generate unit and integration tests
Writing tests with GitHub Copilot
Generating unit tests – Copilot Chat Cookbook
Generate unit tests – Prompt file
Increasing test coverage in your company with GitHub Copilot
Develop unit tests using GitHub Copilot tools – Training
Identify edge cases and write assertions
Writing tests with GitHub Copilot
Responsible use of GitHub Copilot Chat in your IDE
Choosing the right AI tool for your task
Suggest security improvements and performance optimizations
Finding existing vulnerabilities in code
Reducing security debt in your company with GitHub Copilot
Responsible use of Copilot Autofix for code scanning
Build an optimized review process with Copilot
Refactoring code – Copilot Chat Cookbook
Configure privacy, content exclusions, and safeguards (10–15%)
Manage privacy settings and exclusions
Configure content exclusions and editor settings
Content exclusion for GitHub Copilot
Excluding content from GitHub Copilot
Configure and audit content exclusion
Reviewing changes to content exclusions for GitHub Copilot
Managing policies and features for GitHub Copilot in your organization
Describe ownership and limitations of outputs
GitHub Copilot Business Privacy Statement
Responsible use of GitHub Copilot inline suggestions
Responsible use of GitHub Copilot Chat in your IDE
Responsible AI with GitHub Copilot – Training
Apply safeguards and troubleshoot
Enable duplication detection and security warnings
Managing GitHub Copilot policies as an individual subscriber
Finding public code that matches GitHub Copilot suggestions
Responsible use of Copilot Autofix for code scanning
Secure use reference – GitHub Actions
Resolve issues with suggestions and exclusions
Troubleshooting common issues with GitHub Copilot
Content exclusion for GitHub Copilot
Viewing logs for GitHub Copilot in your environment
This brings us to the end of the GH-300 GitHub Copilot Study Guide.
What do you think? Let me know in the comments section if I have missed out on anything. Also, I love to hear from you about how your preparation is going on!
In case you are preparing for other GitHub certification exams, check out the GitHub section for those exams.
Follow Me to Receive Updates on the GH-300 Exam
Want to be notified as soon as I post? Subscribe to the RSS feed / leave your email address in the subscribe section. Share the article to your social networks with the links below so it can benefit others.
