AWS Certified AI Practitioner

Exam code: AIF-C01 · AWS

Build a foundation in what AI can do, how it is used, and which Amazon Web Services (AWS) tools support it.

Who it suits: People who use or discuss AI at work, such as sales, marketing, and product teams.
Experience to bring: Building or coding AI is outside the exam's scope. Basic familiarity with AWS services is recommended.

A workplace example Explain the difference between an AI prediction tool and a writing assistant, and when to use each.

This is independent study material. To earn the certification, book and pass the provider's official exam separately.

You can register directly with the exam provider. No prerequisites.

Practice — 50 questions Read the study guide Official exam guide →

Exam facts

Questions	50	Includes questions with one or several correct answers · 50 scored, plus 15 unscored pretest items; you answer 65
Time limit	90 min	Taken under supervision
Passing score	700	Scaled, 100–1000
Fee	$100	Per attempt
How long it lasts	36 months	Recertify before expiry

What the exam covers

The provider divides the exam into 5 topic groups, called domains. The percentage shows how much of the exam each group covers. Topic names below match the official guide.

	Topic group	Share of exam	Full practice exam target	Questions available here
1	Fundamentals of AI and ML	20.0%	10	10
2	Fundamentals of Generative AI	24.0%	12	12
3	Applications of Foundation Models	28.0%	14	14
4	Guidelines for Responsible AI	14.0%	7	7
5	Security, Compliance, and Governance	14.0%	7	7

Full practice exam target shows how a 50-question practice exam would divide questions between topics. Questions available here is the number you can practice on OutManage. Some topics have less material than others; these counts show what is ready now.

More detail about the exam information

Broadest recognition of the three, and the most technical: Applications of Foundation Models alone is 28%. AWS publishes 50 scored items plus 15 unscored pretest items that are not identified during the sitting, so a candidate answers 65 questions. Domain weights are stated as shares of scored content, so item_count is the scored 50 and allocation runs on that.

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