AWS Certified AI Practitioner

Blueprint verified 2026-08-21 · View official guide

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AIF-C01

Blueprint and coverage

Weights determine the approximate question count and should guide repair, not the initial study order.

#Blueprint and coverageMock coverage%

Fundamentals of AI and MLRelated module: Foundations

20%

Fundamentals of Generative AIRelated module: Foundations · Prompt systems · RAG

24%

Applications of Foundation ModelsRelated module: Prompt systems · RAG · Agents

28%

Guidelines for Responsible AIRelated module: Prompt systems · LLMOps

14%

Security, Compliance, and GovernanceRelated module: LLMOps

14%

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Preparation material

2 min

AWS Certified AI Practitioner — AIF-C01

Preparation material organized according to the five domains of the AIF-C01 exam. Use this alongside the official exam guide and AWS Skill Builder; the official guide is the source of truth regarding weightings and scope

Open12 min

AWS Certified AI Practitioner (AIF-C01) Flashcards

Flashcards grouped by the 5 domains of revision 1.1. Question → Answer format: cover the answer, answer aloud, and check. Weights and syllabus may change: verify the official exam guide before taking the exam.

Open16 min

AWS Certified AI Practitioner (AIF-C01) Practice Exam — 65 Questions

Notice: This practice exam is original study material from this repository. It does not reproduce actual exam questions. The format, domain weights, and content of the exam may change: always verify the official exam gui

Open10 min

Domain 1 Guide — Fundamentals of AI and ML (20% of the exam)

This domain asks about basic AI/ML concepts, types of learning, use cases, inference, and lifecycle. Revision 1.1 explicitly adds agentic AI, the choice between traditional ML and foundation models, and current services

Open11 min

Domain 2 Guide — Fundamentals of Generative AI (24% of the exam)

This domain covers core generative AI concepts (tokens, embeddings, foundation models, the FM lifecycle), their use cases and limitations, and the current AWS layer: Amazon Bedrock, SageMaker AI/JumpStart, Amazon Quick,

Open9 min

Domain 3 Guide — Applications of Foundation Models (28% of the exam)

The domain with the highest weight on the exam. Covers how FMs are applied in practice: model selection criteria, in-depth prompt engineering, RAG and vector stores, fine-tuning, agents, and how to evaluate the resulting

Open8 min

Domain 4 Guide — Guidelines for Responsible AI (14% of the exam)

Conceptual domain: dimensions of responsible AI, bias/fairness, explainability, human oversight, and associated AWS tools (Bedrock Guardrails, SageMaker Clarify, Model Cards, A2I). Fewer services, more judgment.

Open9 min

Domain 5 Guide — Security, Compliance, and Governance for AI Solutions (14% of the exam)

"Classic AWS applied to AI" domain: securing AI systems (IAM, KMS, private networks), ensuring compliance (Artifact, Audit Manager, Config), and governing data. If you're coming from other AWS exams, almost everything wi

Open

Readiness criterion

Aim for two consecutive mock exams above your threshold, with no weak critical domains, and explain why every distractor is wrong. Passing here does not guarantee passing the official exam.