AWS Certified AI Practitioner Advanced Exam Blueprint

65Questions
90 minDuration
700Passing Score
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What This Exam Validates

The AWS Certified AI Practitioner exam, certified by AWS, evaluates candidate knowledge across five core domains. Over 90 minutes, candidates answer 65 questions to demonstrate proficiency in AI and machine learning concepts, generative AI principles, foundation model applications, guidelines for responsible AI, and security, compliance, and governance for AI solutions.

Who Should Take This Exam

Technology professionals, developers, and architects working with cloud workloads should take this exam. Candidates require familiarity with artificial intelligence concepts, machine learning fundamentals, and practical cloud deployments to demonstrate readiness for professional AI tasks.

Skills You Should Be Ready to Demonstrate

How to Prepare

Review official AWS documentation and domain objectives to prepare effectively for the certification exam. Focus your study time extensively on foundation model applications, generative AI fundamentals, and responsible AI guidelines. Practice with sample questions to build familiarity with the 65-question format and manage the 90-minute limit efficiently.

Domain Study Guidance

Fundamentals of AI and ML: Study Guidance

This domain covers the core concepts and fundamental principles of artificial intelligence and machine learning technologies, establishing a solid baseline of knowledge regarding data patterns, machine learning algorithms, and predictive modeling techniques required for cloud implementations.

Fundamentals of GenAI: Study Guidance

This domain focuses on the fundamentals of generative AI, covering advanced models, underlying architectures, and text generation concepts that drive modern applications, helping candidates understand how content creation systems operate within cloud environments.

Applications of Foundation Models: Study Guidance

This domain addresses the practical applications and implementations of foundation models across various use cases, ensuring candidates can successfully deploy model development pipelines, execute fine-tuning procedures, and configure retrieval-augmented generation architectures.

Guidelines for Responsible AI: Study Guidance

This domain examines the guidelines and architectural principles required for building responsible artificial intelligence solutions, emphasizing ethical design, fairness, accuracy, and the mitigation of bias across all deployed services and automated workflows.

Security, Compliance, and Governance for AI Solutions: Study Guidance

This domain covers security, compliance, and governance frameworks for managing artificial intelligence and machine learning solutions on AWS, detailing the implementation of security guardrails, regulatory compliance standards, and organizational governance challenges.

Exam-Day Guidance

Manage the 90-minute duration carefully across all 65 questions. Read each question carefully, monitor remaining time, and review flagged items before submitting your final answers.

Frequently asked questions

How many questions are on the exam?

There are 65 questions on the exam, covering five distinct domains including AI and machine learning fundamentals, generative AI, foundation models, responsible AI, and security governance.

What is the passing score?

The passing score for the exam is 700. Candidates must meet or exceed this exact numerical score to successfully earn the certification credential directly from AWS.

How long is the exam?

The certification exam has a strict duration of exactly 90 minutes, during which candidates must complete all 65 total questions within the officially allotted testing time limit.

Where can I find the official exam guide?

You can find the official documentation and exam guides directly through AWS certification resources, which detail the five specific domains and their respective weight percentages.

Sources and Verification

Verified 2026-09-14

How this page was made

This page was constructed using verified AWS exam documentation, official domain breakdowns, and structural facts regarding test duration, passing score, and question count.

Exam Domains

1 Fundamentals of AI and ML 20%
2 Fundamentals of GenAI 24%
3 Applications of Foundation Models 28%
4 Guidelines for Responsible AI 14%
5 Security, Compliance, and Governance for AI Solutions 14%