AWS AIF-C01 exam domains explained

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The AWS Certified AI Practitioner (AIF-C01) exam is split into 5 domains. Here is what each one covers, how much of the exam the provider says it is worth, and where to practise it.

• Fundamentals of AI and ML (20% of the exam)
  The vocabulary of machine learning: what a model is, how it learns from data, how it is measured, and how it is used once it is trained.
• Fundamentals of GenAI (24% of the exam)
  What generative AI can and cannot do, the building blocks behind it (tokens, embeddings, large language models), the idea of AI agents, and which AWS services provide them.
• Applications of Foundation Models (28% of the exam)
  The largest domain. It is about choosing and shaping a model for a job: prompting it well, adding your own data with retrieval, fine-tuning when needed, and measuring whether the result is any good.
• Guidelines for Responsible AI (14% of the exam)
  How to build AI that is fair, safe and explainable, and what can go wrong legally and ethically when it is not.
• Security, Compliance, and Governance for AI Solutions (14% of the exam)
  Protecting AI systems and the data they use, keeping a record of where data came from, and meeting the rules that apply to AI.

Domain names, weights and topic lists come from the AWS exam guide (version 1.2), checked 2 November 2026. Providers change their outlines, so confirm the current version before you book. The plain-English explanations are ours, not the provider’s. Not affiliated with, endorsed by or sponsored by any certification vendor or exam body. Certification names, exam codes and product names are trademarks of their respective owners and are used only to identify the exam a practice product prepares for. Our questions are original and are not actual exam questions.