AWS Certified AI Practitioner AIF-C01 Study Guide

This is the written companion to the practice exams, a complete walk through everything AIF-C01 covers, gathered in one place. Wherever a practice question leaves you unsure why an answer was right, you can come here, find the concept, and see how it fits.

AIF-C01 is a foundational AI and ML literacy exam, and that shapes what it asks of you. It rewards recognizing AI, ML, and generative-AI concepts and matching the right AWS service or technique to a scenario, plus sound judgment on responsible AI and on security, compliance, and governance, not building models by hand. The questions turn on decisions like prompt engineering versus fine-tuning versus retrieval augmented generation when adapting a foundation model, or reaching for a pre-trained AI service such as Amazon Comprehend or Rekognition instead of training a custom model in Amazon SageMaker. The material spans AI and ML fundamentals, generative AI and foundation models (Amazon Bedrock, SageMaker, prompt engineering, fine-tuning, RAG, and evaluation), responsible AI (bias, transparency, explainability, and guardrails), and security, compliance, and governance.

The guide follows the official domains at the real exam weighting, building the mental model in plain language and separating look-alike options with comparison tables and decision trees, then closing each chapter with a cheat sheet. Start at the top and read straight through, or pick a domain from the list beside the page and go straight to what you need.