AWS Certified AI PractitionerAIF-C01Exam Guide
A Foundational exam covering AI, ML, generative AI, foundation models, responsible AI, security, and governance.
Foundational · AvailableInformation verified 2026-08-24
Exam overview
- Exam code
- AIF-C01
- Level
- Foundational
- Exam status
- Available
- Intended candidate
- People who use or explain AI/ML technologies on AWS; candidates do not need to build solutions themselves.
- AWS-recommended knowledge and experience
- Familiarity with AI/ML technologies on AWS; building solutions is not required
- Question formats
- Multiple choice, multiple response, ordering, and matching
- Languages
- English, Japanese, and other languages; confirm current availability when scheduling
- Testing options
- Pearson VUE testing center or online proctored exam
- Certification validity
- Three years from the date earned; see AWS recertification guidance for renewal options
Who this exam is for
- Business, sales, and management roles involved in generative AI projects
- Learners who need foundations for choosing AI and ML services
- People who want structured coverage of responsible AI and governance
These learning profiles are organized from the AWS intended-candidate and recommended-experience guidance.
Official exam domains
A concise rendering of the domains, weights, and task statements in the official exam guide.Fundamentals of AI and ML
20%Covers AI/ML terminology, use cases, and the development lifecycle.
Key tasks
- Explain fundamental AI and ML concepts
- Identify appropriate AI and ML use cases
- Understand the ML development lifecycle
Services and concepts to review
Amazon SageMaker AIAmazon RekognitionAmazon Comprehend
Fundamentals of Generative AI
24%Covers generative AI, foundation models, prompting, and RAG.
Key tasks
- Explain generative AI concepts
- Understand generative AI capabilities and limitations
- Identify AWS generative AI services
Services and concepts to review
Amazon BedrockAmazon QAmazon SageMaker AI
Applications of Foundation Models
28%Compares model selection, prompting, RAG, fine-tuning, and evaluation.
Key tasks
- Select a foundation model for a use case
- Design prompts and context
- Compare model adaptation and evaluation approaches
Services and concepts to review
Amazon Bedrock Knowledge BasesAmazon Bedrock GuardrailsAmazon SageMaker AI
Guidelines for Responsible AI
14%Covers fairness, transparency, explainability, and safety.
Key tasks
- Identify characteristics of responsible AI
- Recognize bias and risk
- Understand transparency and explainability approaches
Services and concepts to review
Amazon SageMaker ClarifyAmazon Bedrock Guardrails
Security, Compliance, and Governance for AI
14%Covers controls for AI data, access, auditing, and compliance.
Key tasks
- Identify controls that secure AI systems
- Understand governance and compliance
- Identify ways to protect AI data
Services and concepts to review
AWS IAMAWS KMSAWS CloudTrailAmazon Macie
Suggested study path
- Differentiate AI, ML, generative AI, and foundation model terminology
- Compare Bedrock and SageMaker AI by use case
- Connect RAG, prompting, fine-tuning, and evaluation into one workflow
- Use mock exams to check responsible AI and security as well as technical topics
Relevant AWS services and concepts
Generative AI
Why review these: To organize the building blocks and safeguards of generative AI applications.
Amazon BedrockAmazon QBedrock Knowledge BasesBedrock Guardrails
Machine learning
Why review these: To compare model development, evaluation, and responsible AI capabilities.
Amazon SageMaker AISageMaker Clarify
Controls
Why review these: To connect access, encryption, and auditing for data and models.
AWS IAMAWS KMSAWS CloudTrailAmazon Macie
How this exam differs from other AWS Certifications
CLF-C02
CLF-C02 covers AWS broadly; AIF-C01 concentrates on AI, ML, and generative AI knowledge.
Open exam guideMLA-C01
AIF-C01 focuses on concepts and use cases; MLA-C01 evaluates implementation and operations of ML workloads.
Learning with Path & Pass
Practice questions: 550 questions
- Practice by domain
- Quick practice
- Review and bookmarks
- Mock exams
- Progressive hints
- Immediate scoring and detailed explanations
- On-device learning history and progress
All questions are original practice content based on public exam objectives. They are not actual, recalled, or past AWS Certification exam questions.
Frequently asked questions
Development experience is not a prerequisite. AWS includes business roles that use or explain AI/ML among the intended candidates.
Path & Pass currently supports single-choice and multiple-choice practice. Ordering and matching formats listed for the official exam are not currently simulated.
No. They are original practice questions based on public exam guides and primary sources, not actual or recalled AWS Certification exam questions.
Official sources
Last verified:
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