GitHub Certification Exam Prep
Study guides, practice exams, and flashcards for all GitHub certifications. 2 certifications available.
About GitHub Certifications
GitHub's certification track has two rungs. GH-900 GitHub Foundations is the entry point: it validates that you understand Git and GitHub from first principles — version control concepts, repositories, commits and branches, the GitHub Flow, and the collaboration surfaces (issues, pull requests, discussions) that day-to-day work runs on. It is deliberately not a developer-only exam: project managers, technical writers, and administrators who work inside GitHub are part of the target audience, and the questions test recognition and understanding rather than hands-on configuration. Expect roughly 75 questions over 120 minutes, with a scaled passing score of 700 out of 1000.
The Foundations blueprint (refreshed January 2026) spans seven domains. Git and GitHub basics carries the heaviest weight at 25–30%, followed by working with repositories, collaborating on GitHub, modern development practices (GitHub Actions, the Copilot plan tiers, Codespaces and github.dev), project management with Projects, privacy, security and administration, and the GitHub community — open source, Sponsors, InnerSource, and the Marketplace.
GH-300, the Copilot certification, sits above Foundations and covers considerably more than knowing how to accept a suggestion. It validates that you can work with Copilot across its surfaces (the IDE, the CLI, github.com and mobile) and that you understand what happens to your code along the way: how prompts are assembled, what the proxy filters, and where the model's limits sit. The exam runs 100 minutes with roughly 60 questions and a 70% passing score — and it is not solely a developer credential either, since organization-wide policy management, content exclusions, audit log events and subscription management through the REST API are all in scope.
Career value: Foundations signals platform fluency for any role that touches GitHub and is the natural first step, while the Copilot credential signals both effective AI-assisted development and an understanding of the governance that has to sit around it. Taking them in that order — GH-900, then GH-300 — mirrors how organizations actually adopt the platform: collaboration first, AI enablement second.
All GitHub Certifications
Beginner
[GH-900] GitHub Foundations
For beginners and professionals proving foundational Git and GitHub collaboration skills.
Intermediate
[GH-300] GitHub Copilot
For developers proving proficiency with GitHub Copilot in AI-assisted software development.
Key Topic Areas
The core domains tested across GitHub certifications. Each badge links to the study guide for an exam that covers the area.
Git and GitHub Basics
Core Git concepts: repositories, commits, branches · Accounts, organizations, and Enterprise · The GitHub Flow · Markdown for clear communication · GitHub Desktop and GitHub Mobile
Working with Repositories
Repository structure and key files · Creating and organizing repositories · Managing files within a repository · Repository insights and metrics · Maintenance best practices
Collaboration on GitHub
Issues, pull requests, and discussions · Linking PRs to issues and templates · Notifications and workflow management · Gists, wikis, and GitHub Pages
Modern Development Practices
GitHub Actions for automation · Copilot for Individuals, Business, and Enterprise · Codespaces and dev containers · github.dev vs. Codespaces
Project Management
GitHub Projects and layouts · Labels, milestones, and workflow rules · Saved replies and assignees · Project insights for tracking progress
Privacy, Security and Administration
Securing accounts: 2FA and passkeys · Access permissions and roles · Enterprise Managed Users · Repository visibility and branch protection · Organization settings, teams, and roles
The GitHub Community
Open source and GitHub Sponsors · Following users and organizations · The GitHub Marketplace · InnerSource principles · Forks, templates, and discoverability
Copilot Features and Surfaces
Code completion in the IDE · Copilot Chat and inline chat · GitHub Copilot CLI · Agent, edit and plan modes · Copilot on github.com and mobile · Code review and PR summaries
Responsible AI Use
Risks and limitations of generative AI · Ethical and responsible usage · Potential harms and mitigations · Why AI output must be validated
Data Handling and Architecture
Data usage flow and sharing · Input processing and prompt building · Proxy filtering and post-processing · The code suggestion lifecycle · Limitations of LLMs
Prompt Engineering and Context
Prompt structure and context · How Copilot determines context · Zero-shot and few-shot prompting · Chat history and prompt reuse · Instructions and prompt files
Developer Productivity
Code generation and refactoring · Documentation generation · Unit and integration tests · Edge cases and assertions · Modernizing legacy code · Generating sample data
Privacy, Policies and Safeguards
Content exclusions · Duplication detection · Organization-wide policy management · Audit log events · Managing subscriptions with the REST API · Ownership of outputs
Frequently Asked Questions
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