You can see it againUnder pressure people bring back shapes and positions long after the wording has gone.
Picture superiority · Shepard 1967, Standing 1973
The GitHub Copilot Certification validates your ability to optimize software development workflows with GitHub Copilot. It covers responsible AI, Copilot plans and features, prompt engineering, AI developer use cases, testing with Copilot, and privacy and exclusions. Earning this certification demonstrates that you can effectively integrate AI-assisted development into your daily work, boosting productivity and code quality.
Content last reviewed 30 July 2026 · Up to date
What this certification covers, who it is written for, and what the exam itself looks like on the day.
What it validates, who it is written for, and the experience it assumes.
The GitHub Copilot Certification (GH-300) is designed for developers and teams who want to prove their expertise in using GitHub Copilot to accelerate and improve software development. This certification validates your understanding of responsible AI practices, Copilot's plans and features, how to craft effective prompts, and how to apply Copilot across real-world development scenarios.
By earning this certification, you demonstrate that you can harness AI to streamline workflows, enhance code quality, and foster innovation. The exam covers key areas such as Copilot data and functionality, privacy and exclusions, and testing with Copilot, ensuring you are well-equipped to lead AI-driven development initiatives in your organization.
This certification is for developers, technical leads, and AI enthusiasts who use GitHub Copilot in their daily work and want to validate their skills in AI-assisted development. It is also suitable for teams adopting Copilot and seeking to ensure their members have a consistent, high-level understanding of its capabilities and best practices. Candidates should have hands-on experience with GitHub Copilot and a solid understanding of software development workflows. The certification is ideal for those who want to demonstrate their ability to optimize development processes using AI, from prompt engineering to testing and privacy considerations.
Hands-on experience with GitHub Copilot and a solid understanding of software development workflows. Practical experience using GitHub Copilot in development projects; Familiarity with GitHub repositories, pull requests, and collaboration workflows; Understanding of AI concepts and responsible AI practices; Basic knowledge of prompt engineering and its application in code generation
Every domain and objective GitHub measures, with the weight they carry on the exam.
The official GitHub exam outline · checked 30 July 2026 · See the source
Everything GitHub publishes about sitting it, and nothing we inferred.
No mandatory prerequisites — this certification has no required predecessor exam or credential.
The path GitHub lays out, how the credential is kept, and where to book.
Step-by-step path to GitHub Copilot Certification
GitHub certifications expire annually and require renewal. Renewal is completed by passing a free online assessment on Microsoft Learn. Stay current with the latest technologies and maintain your certification.
Learn more about renewal requirementsThis certification is currently active and available. GitHub maintains this certification to validate current skills and industry relevance.
Register for the exam through Microsoft, GitHub’s authorized testing partner.
Schedule your examVisit the official GitHub certification page for exam policies and requirements.
View the official pageYour coach in the app reads what you have answered with the book closed and tells you one thing to do tonight. It will not count an answer you gave with the page open, and it will tell you when you are not ready.
See how the coach worksThe GitHub Copilot Certification is part of the GitHub Certifications program, which also includes Foundations, Actions, Advanced Security, and Administration certifications. Each certification validates expertise in a specific GitHub domain, and they can be earned independently.
No. GitHub does not require any prerequisite certifications for the Copilot Certification. You can register for the exam directly if you have the necessary skills.
The official documentation does not specify a hands-on or lab-based component for the GH-300 exam. It is likely a knowledge-based exam, but candidates should refer to the official exam page for the most current format details.
The official documentation does not provide specific retake policy details for the GH-300 exam. Candidates should check the registration page or contact the exam provider for information on retake policies and waiting periods.
The certification is designed for developers, technical leads, and AI enthusiasts who use GitHub Copilot in their daily work. It validates skills relevant to roles focused on AI-assisted development and software development optimization.
GitHub certifications expire annually and require renewal. The renewal process involves passing a free online assessment on Microsoft Learn, not passing a different exam. However, earning a higher-level certification may also renew lower-level ones, but this is not explicitly stated for the Copilot Certification.
The exam is delivered online proctored by Microsoft, which typically offers global availability. However, candidates should verify availability in their region during registration, as some countries may have restrictions.
Every domain, every objective, and every concept GitHub measures — each one written out.





Every objective below is a page you can open and practise now, without an account.
The official GitHub exam outline · checked 30 July 2026 · See the source
In front of every objective the practice pages are already there, free and without an account. This is one objective, opened.
28 questions on this objective, five to a page. Every range above is a real page, open now, with no account.
The curriculum tells you what is on the exam. Proving you know it is a different job — and it is the one the closed-book run does.
The whole bank is open. 5 questions to a page, every answer explained, and a discussion thread on each one.
Every objective, and every page range, is a link — so you can pick up exactly where you left off.
Short enough to finish, long enough to matter.
Not only which one is right — why the others are wrong.
Ask, answer, and vote. Every question has its own thread.
These are not trivia. Each one is written against a concept in the book, so when you get one wrong there is somewhere to go and find out why.

The pages shown here come from our AI-900 book — an example of how each concept is written in plain language and, where the idea needs one, drawn as a full page you can take in at a glance.





Three reasons, and each one is a real finding rather than a slogan.
You can see it againUnder pressure people bring back shapes and positions long after the wording has gone.
Picture superiority · Shepard 1967, Standing 1973
The whole idea at onceWhere it starts, what happens in the middle, what comes out, and the mistake to avoid.
Multimedia principle · Mayer
The look-alikes sit togetherThe pairs the exam tests are drawn side by side, so the difference is seen, not told.
Dual coding · PaivioYou are never asked to read a poster here — only to see how one is built. After that, every other page is legible at a glance.

The idea as a sequence, followed with a finger before a word is read.
What it is, how the machine learns it, when it is the right tool.
The distinction the exam tests, given its own box instead of buried in prose.
The sentence to carry into the exam room.
This is the part that teaches. The illustration and the written explanation stay where they are while you work, so a scenario stops being a memory test and becomes something you can simply look at.
A smartphone uses AI to unlock when the owner looks at the camera. Which AI capability is being used?

The same questions come back with the book closed — that run is the one that counts. After it, your coach picks one thing for tonight, sized to the time you have, and brings pages back before you lose them.
Testing effect · Roediger & Karpicke 2006 · spacing effect · Cepeda et al. 2006
Where the exam is defined, scheduled and scored.
We link to them rather than repeat them, so nothing here goes stale behind them.
We build from the official skills outline, not from a summary of it — 14 objectives, 85 concepts written under them, and free questions against every one. When GitHub changes the outline, this page changes with it.
That is the only question worth answering the night before, and no link answers it. You answer it by taking the questions with the book closed, and seeing what comes back.