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 GitLab Duo (AI) Associate certification validates your ability to leverage GitLab Duo's AI-powered features across the software development lifecycle. It is designed for developers, DevOps engineers, and team leads who want to boost productivity with AI-assisted code generation, code review, and issue management. Earning this credential demonstrates practical, responsible use of AI in GitLab workflows.
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 GitLab Duo (AI) Associate certification confirms that you can effectively and responsibly apply GitLab Duo's AI capabilities to accelerate software delivery. It covers the core features of GitLab Duo, including AI-assisted code suggestions, chat-based assistance, code review support, and automated issue summarization, all within the GitLab platform.
This certification is for practitioners who want to integrate AI into their daily GitLab workflows. It validates that you understand how to use GitLab Duo to improve code quality, streamline collaboration, and reduce manual overhead, while also being aware of security and ethical considerations when using AI-generated content.
This certification is for developers, DevOps engineers, and technical team leads who use GitLab and want to incorporate AI-assisted workflows into their development process. It is also suitable for IT professionals who evaluate or implement AI tools within their organization. You should have a working knowledge of GitLab's core features, including repositories, merge requests, and CI/CD pipelines. You are comfortable navigating the GitLab interface and are interested in exploring how AI can enhance your productivity and code quality.
At least six months of hands-on experience with GitLab, including using merge requests and understanding the basic software development workflow. Familiarity with GitLab projects, repositories, and merge requests; Basic understanding of the software development lifecycle and DevOps practices; Experience using GitLab's web interface and command-line tools; Awareness of AI concepts and their application in software development
Every domain and objective GitLab measures, with the weight they carry on the exam.
The official GitLab exam outline · See the source
Everything GitLab publishes about sitting it, and nothing we inferred.
No mandatory prerequisites — this certification has no required predecessor exam or credential.
The path GitLab lays out, how the credential is kept, and where to book.
Step-by-step path to GitLab Certified Duo Agent Platform Associate
GitLab certifications do not require renewal. Stay current with the latest technologies and maintain your certification.
Learn more about renewal requirementsThis certification is currently active and available. GitLab maintains this certification to validate current skills and industry relevance.
Register for the exam through GitLab Learn, GitLab’s authorized testing partner.
Schedule your examVisit the official GitLab 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 worksThis certification is a standalone credential focused specifically on GitLab Duo AI features. It does not require any other GitLab certification and is not a prerequisite for any other GitLab certification.
The exam is delivered online and consists of multiple-choice questions. There is no separate hands-on lab component, but the questions may present scenarios that require you to apply your knowledge of GitLab Duo features.
GitLab Learn allows you to retake the exam after a waiting period. Specific retake policies are provided on the exam registration page.
This credential is relevant for developers, DevOps engineers, and technical leads who use GitLab and want to demonstrate their ability to leverage AI-assisted workflows in software development.
No, GitLab certifications do not require renewal, so there is no recertification path. The credential is valid indefinitely once earned.
The exam is available online, so it can be taken from most locations with a stable internet connection. Check the GitLab Learn platform for any specific regional availability or restrictions.
Every domain, every objective, and every concept GitLab measures — each one written out.





Every objective below is a page you can open and practise now, without an account.
The official GitLab exam outline · See the source
In front of every objective the practice pages are already there, free and without an account. This is one objective, opened.
14 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 — 11 objectives, 63 concepts written under them, and free questions against every one. When GitLab 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.