You can see it againUnder pressure people bring back shapes and positions long after the wording has gone.
Picture superiority · Shepard 1967, Standing 1973
GOOGLE CLOUDGoogle Cloud Generative AI Leader
The Google Cloud Generative AI Leader certification validates your ability to articulate the business value of generative AI and lead AI-driven transformation initiatives. Designed for leaders and decision-makers, it demonstrates that you can identify high-impact use cases, evaluate AI solutions, and drive responsible adoption across your organization. Earning this credential signals that you can bridge AI strategy and business outcomes.
Exam formatMultiple choice and multiple select
DeliveryGoogle Cloud
Free questions418
Content last reviewed 30 July 2026 · Up to date
The certification
What Google Cloud Generative AI Leader proves, and what it asks of you
What this certification covers, who it is written for, and what the exam itself looks like on the day.
4domains
15objectives
106concepts
US $99exam fee
What it is
What this certification is
What it validates, who it is written for, and the experience it assumes.
About this certification
The Google Cloud Generative AI Leader certification is a Foundational-level credential that validates your ability to lead generative AI initiatives and translate AI capabilities into business value. It is designed for leaders, managers, and decision-makers who need to understand the strategic implications of generative AI and guide their organizations through AI adoption.
This certification focuses on the business and leadership aspects of generative AI, covering how to identify opportunities, assess risks, and implement AI solutions that align with organizational goals. It demonstrates that you can communicate effectively with technical teams, drive responsible AI practices, and measure the impact of AI investments.
Who it’s for
This certification is for business leaders, executives, and decision-makers who are responsible for driving AI strategy and adoption within their organizations. It is also suitable for professionals who work closely with AI teams and need to understand the business implications of generative AI. You are likely in a role that requires you to evaluate AI opportunities, allocate resources, and ensure that AI initiatives deliver measurable business value. You may not be hands-on with the technology, but you need to speak the language of AI and lead with confidence.
Recommended experience
No specific technical background is required, but a fundamental understanding of cloud concepts and a collaborative role with technical professionals is recommended. Basic familiarity with Google Cloud products and services; Experience working with technical teams on AI or data projects; Understanding of business strategy and how technology drives outcomes
The syllabus
What you’ll learn
Every domain and objective Google Cloud measures, with the weight they carry on the exam.
The official Google Cloud exam outline · checked 30 July 2026 · See the source
Fundamentals of gen AI
- 1.1 Describe core generative AI (gen AI) concepts and use cases.
- 1.2 Describe how various data types are used in gen AI and the business implications.
- 1.3 Identify the core layers of the gen AI landscape and the business implications.
- 1.4 Identify the use cases and strengths of Google’s foundation models.
Google Cloud’s gen AI offerings
- 2.1 Describe Google Cloud's strengths in the field of gen AI.
- 2.2 Describe how Google Cloud’s prebuilt gen AI offerings enable AI powered work.
- 2.3 Describe how Google Cloud’s gen AI offerings improve the customer experience.
- 2.4 Describe how Google Cloud empowers developers to build with AI.
- 2.5 Define the purpose and types of tooling for gen AI agents.
Techniques to improve gen AI model output
- 3.1 Describe how to proactively overcome foundation model limitations.
- 3.2 Describe prompt engineering techniques and how they drive better results.
- 3.3 Identify grounding techniques and their use cases.
Business strategies for a successful gen AI solution
- 4.1 Describe the Google Cloud-recommended steps to successfully implement a transformational gen AI solution.
- 4.2 Define secure AI and its importance in protecting AI systems from malicious attacks and misuse.
- 4.3 Describe the importance of responsible AI in business.
On the day
The exam itself
Everything Google Cloud publishes about sitting it, and nothing we inferred.
Prerequisites
No mandatory prerequisites — this certification has no required predecessor exam or credential.
CertificationGoogle Cloud Generative AI Leader
Exam formatMultiple choice and multiple select
DeliveryGoogle Cloud
LanguagesEnglish, Japanese
PricingUS $99
After you pass
Where this credential goes next
The path Google Cloud lays out, how the credential is kept, and where to book.
Step-by-step path to Google Cloud Generative AI Leader
Credential earnedGoogle Cloud Generative AI Leader Certification Renewal and maintenance
Foundational certifications are valid for three years. Renew by passing the current exam or completing eligible continuing education in Google Skills. Stay current with the latest technologies and maintain your certification.
Learn more about renewal requirements Lifecycle status
This certification is currently active and available. Google Cloud maintains this certification to validate current skills and industry relevance.
Exam status: ActiveMaintained by Google Cloud
Exam registration
Register for the exam through Google Cloud, Google Cloud’s authorized testing partner.
Schedule your examVisit the official Google Cloud certification page for exam policies and requirements.
View the official pageYour coach
And when you are serious, your coach Pip takes over
Your 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 worksBefore you book
Questions people ask
How does the Generative AI Leader certification relate to the Cloud Digital Leader certification?
Both are Foundational-level certifications, but they focus on different areas. Cloud Digital Leader validates broad cloud knowledge, while Generative AI Leader focuses specifically on leading generative AI initiatives. They are independent; you can earn either without the other.
Is there a hands-on lab component in the Generative AI Leader exam?
No. The exam is entirely multiple-choice and multiple-select questions. There is no hands-on lab or performance-based component.
What is the retake policy if I fail the exam?
You can retake the exam after a waiting period. The first retake is allowed after 14 days, and subsequent attempts require a 60-day wait. There is no limit on the number of attempts.
Can I renew my Generative AI Leader certification by passing a higher-level Google Cloud exam?
Yes. Passing a Professional-level exam, such as Professional Cloud Architect, renews your Foundational certification. You can also renew by taking the standard exam again or completing eligible continuing education.
What job roles does the Generative AI Leader credential map to?
It is designed for roles such as AI strategy lead, product manager, business development manager, and other leadership positions that require understanding and driving AI adoption.
Are there any regional restrictions for taking the exam?
The exam is available globally through online proctoring and at test centers in many countries. Check the registration portal for availability in your region.
Information freshness · Content last reviewed on 2026-07-30 Up to date
Practice free questions 418 questions, free, no account needed.
The curriculum
The whole exam, mapped and written
Every domain, every objective, and every concept Google Cloud measures — each one written out.
4domains
15objectives
106concepts
89free pages
The domains, and what sits inside them
Every objective below is a page you can open and practise now, without an account.
The official Google Cloud exam outline · checked 30 July 2026 · See the source
1Fundamentals of gen AI105 questions
1.1 Describe core generative AI (gen AI) concepts and use cases.9 concepts · 7 pagesOpen →1.2 Describe how various data types are used in gen AI and the business implications.4 concepts · 5 pagesOpen →1.3 Identify the core layers of the gen AI landscape and the business implications.5 concepts · 6 pagesOpen →1.4 Identify the use cases and strengths of Google’s foundation models.8 concepts · 4 pagesOpen →
2Google Cloud’s gen AI offerings152 questions
2.1 Describe Google Cloud's strengths in the field of gen AI.7 concepts · 6 pagesOpen →2.2 Describe how Google Cloud’s prebuilt gen AI offerings enable AI powered work.10 concepts · 7 pagesOpen →2.3 Describe how Google Cloud’s gen AI offerings improve the customer experience.9 concepts · 8 pagesOpen →2.4 Describe how Google Cloud empowers developers to build with AI.7 concepts · 6 pagesOpen →2.5 Define the purpose and types of tooling for gen AI agents.6 concepts · 5 pagesOpen →
3Techniques to improve gen AI model output77 questions
4Business strategies for a successful gen AI solution84 questions
4.1 Describe the Google Cloud-recommended steps to successfully implement a transformational gen AI solution.5 concepts · 6 pagesOpen →4.2 Define secure AI and its importance in protecting AI systems from malicious attacks and misuse.6 concepts · 6 pagesOpen →4.3 Describe the importance of responsible AI in business.8 concepts · 6 pagesOpen →
Not a table of contents
Every line on this map already opens
In front of every objective the practice pages are already there, free and without an account. This is one objective, opened.
1.1 Describe core generative AI (gen AI) concepts and use cases.7 pagesOpen →
Free in front of it
34 questions on this objective, five to a page. Every range above is a real page, open now, with no account.
Reading the map is not the same as knowing the ground
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.
Free questions
418 questions. No account, no card.
The whole bank is open. 5 questions to a page, every answer explained, and a discussion thread on each one.
418questions
89pages
15objectives
Freealways
Start anywhere1.1 Describe core generative AI (gen AI) concepts and use cases. 34 questions · 7 pages
Browse by domain
Every objective, and every page range, is a link — so you can pick up exactly where you left off.
1Fundamentals of gen AI105 questions
2Google Cloud’s gen AI offerings152 questions
3Techniques to improve gen AI model output77 questions
4Business strategies for a successful gen AI solution84 questions
What a practice page gives you
1Five to a page
Short enough to finish, long enough to matter.
2Every answer explained
Not only which one is right — why the others are wrong.
3A discussion on each
Ask, answer, and vote. Every question has its own thread.
A question, and the idea behind it
Every question comes from a concept
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 visual book
See it once. Carry it into the exam.
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.
106concepts
418free questions
Why a picture, and not another paragraph
Three reasons, and each one is a real finding rather than a slogan.
You can see it againThe whole idea at onceWhere it starts, what happens in the middle, what comes out, and the mistake to avoid.
Multimedia principle · MayerThe look-alikes sit togetherThe pairs the exam tests are drawn side by side, so the difference is seen, not told.
Dual coding · PaivioWhat one page is made of
You 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.
1A numbered strip on top
The idea as a sequence, followed with a finger before a word is read.
2Panels for the parts
What it is, how the machine learns it, when it is the right tool.
3The trap, framed
The distinction the exam tests, given its own box instead of buried in prose.
4One line at the bottom
The sentence to carry into the exam room.
Open book, on purpose
Answer it with the picture beside you
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.
It teaches · it does not count
A smartphone uses AI to unlock when the owner looks at the camera. Which AI capability is being used?
AImage classification
BFacial recognition
COptical character recognition
DObject detection
Look at the five steps. Detect finds a face, align straightens it, encode turns it into numbers, search compares it with a stored face, and decide answers one question: is this the same person? Classification would only say “a face”. Detection would only draw a box. Neither decides whose.
Then the page shuts, and it starts counting
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
Official resources
Straight from Google Cloud
Where the exam is defined, scheduled and scored.
4official links
106concepts mapped
The source
Google Cloud’s own pages
We link to them rather than repeat them, so nothing here goes stale behind them.
Checked against the source
Every objective on the official Google Cloud outline already has questions here
We build from the official skills outline, not from a summary of it — 15 objectives, 106 concepts written under them, and free questions against every one. When Google Cloud changes the outline, this page changes with it.
15objectives on the outline→106concepts written→418free questions
An official page tells you what will be asked. It cannot tell you what you will get right.
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.