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 AWS Certified AI Practitioner certification validates your understanding of AI, machine learning, and generative AI concepts and use cases on AWS. It is designed for individuals in business, sales, marketing, and IT roles who work with AI/ML technologies but do not necessarily build them. Earning this credential demonstrates that you can identify the right AI solutions for business problems and apply them responsibly, positioning you for career growth in an AI-driven market.
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 AWS Certified AI Practitioner (AIF-C01) exam is a Foundational-level certification that validates your ability to describe AI, ML, and generative AI concepts, methods, and strategies both in general and on AWS. It focuses on the practical business applications of AI, covering how to identify appropriate AI/ML and GenAI technologies to solve specific business problems and how to use them responsibly.
This certification is ideal for professionals who are familiar with AI/ML technologies on AWS and use them in their work, but who do not necessarily build or code AI solutions. It covers the breadth of AI frameworks, concepts, and associated AWS technologies, with an emphasis on generative AI. Earning this credential demonstrates that you can speak the language of AI, align AI initiatives with business goals, and contribute to AI-driven projects within your organization.
This certification is for individuals who are familiar with AI/ML technologies on AWS and use, but do not necessarily build, AI/ML solutions. Typical roles include business analysts, IT support, marketing professionals, product or project managers, line-of-business or IT managers, and sales professionals. The ideal candidate has up to six months of exposure to AI/ML technologies on AWS and is comfortable with core AWS services, the shared responsibility model, IAM, and AWS pricing models. If you are new to IT and AWS Cloud, AWS recommends starting with AWS Cloud Practitioner Essentials or AWS Technical Essentials before pursuing this certification.
Up to 6 months of exposure to AI/ML technologies on AWS, with familiarity of core AWS services and concepts. Familiarity with core AWS services such as Amazon EC2, Amazon S3, AWS Lambda, Amazon Bedrock, and Amazon SageMaker AI; Understanding of the AWS shared responsibility model for security and compliance; Familiarity with AWS Identity and Access Management (IAM) for securing and controlling access to AWS resources; Awareness of AWS service pricing models
Every domain and objective AWS measures, with the weight they carry on the exam.
The official AWS exam outline · checked 30 July 2026 · See the source
Everything AWS publishes about sitting it, and nothing we inferred.
No mandatory prerequisites — this certification has no required predecessor exam or credential.
The path AWS lays out, how the credential is kept, and where to book.
Step-by-step path to AWS Certified AI Practitioner
This certification is valid for 3 years. Before your certification expires, you can recertify by passing the latest version of this exam, or by earning the AWS Certified Machine Learning Engineer - Associate, which will automatically recertify this certification. Stay current with the latest technologies and maintain your certification.
Learn more about renewal requirementsThis certification is currently active and available. AWS maintains this certification to validate current skills and industry relevance.
Register for the exam through Pearson VUE, AWS’s authorized testing partner.
Schedule your examVisit the official AWS 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 worksAWS Certified Cloud Practitioner focuses on overall knowledge of the AWS Cloud and gives a foundational-level overview of all AWS services. AWS Certified AI Practitioner covers the breadth of AI frameworks, concepts, and associated AWS technologies, with an emphasis on generative AI. The exam content outline for Cloud Practitioner contains only one task statement related to AI, while the entire AI Practitioner exam focuses on AI, ML, and generative AI.
No. AWS lists no mandatory prerequisites for this exam. However, if you are new to IT and AWS Cloud, AWS recommends starting with AWS Cloud Practitioner Essentials or AWS Technical Essentials. Certified individuals holding the AWS Certified Cloud Practitioner or an Associate-level AWS Certification do not need to take the foundational cloud courses and can start with free AI foundational training.
For individuals transitioning to cloud careers, AWS recommends AWS Certified Solutions Architect - Associate. For those pursuing careers in data, AI, and machine learning, AWS recommends AWS Certified Data Engineer - Associate and/or AWS Certified Machine Learning Engineer - Associate.
Yes. You can recertify the AWS Certified AI Practitioner by passing the latest version of this exam, or by earning the AWS Certified Machine Learning Engineer - Associate, which will automatically recertify this certification.
The AIF-C01 exam includes multiple choice, multiple response, ordering, and matching question types. There are no hands-on labs or performance-based questions in this exam.
AWS Certification exams can be rescheduled twice. If you fail the exam, you must wait 14 days before retaking it. There is no limit on the number of attempts, but each attempt requires a new exam fee.
Exam results are typically available within 5 business days after you complete your exam. You can access your results in your AWS Certification Account under Exam History.
Yes. A 30-minute exam extension is available upon request to non-native English speakers when taking an exam in English. The accommodation, 'ESL +30', only needs to be requested once, prior to registering for an exam, and it will apply to all future exam registrations.
The credential is intended for individuals who are familiar with AI/ML technologies on AWS and use, but do not necessarily build, AI/ML solutions. Typical roles include business analyst, IT support, marketing professional, product or project manager, line-of-business or IT manager, and sales professional.
Every domain, every objective, and every concept AWS measures — each one written out.





Every objective below is a page you can open and practise now, without an account.
The official AWS 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.
20 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, 98 concepts written under them, and free questions against every one. When AWS 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.