AWS Certified AI Practitioner Study Guide (AIF-C01)
Welcome to the complete, open study curriculum for the AWS Certified AI Practitioner (AIF-C01) examination. Organized across 4 core chapters and 16 modular lessons, each section breaks down complex machine learning and generative AI concepts with explicit exam trap callouts, technical summaries, and interactive knowledge checkpoints.
Curriculum Roadmap
Fundamentals of AI and Machine Learning
Master core machine learning taxonomy, learning paradigms, overfitting/underfitting dynamics, and essential classification metrics.
Fundamentals of Generative AI
Understand transformer architecture, subword tokenization, inference parameters (temperature, top-p), prompt engineering, and vector RAG.
Applications of Foundation Models on AWS
Master Amazon Bedrock serverless APIs, Knowledge Bases, Agents, Guardrails, SageMaker JumpStart, Canvas, and Amazon Q assistants.
Guidelines for Responsible AI, Security, and Governance
Master fairness, bias mitigation, SHAP explainability, data drift monitoring, the AWS Shared Responsibility Model, and Bedrock security safeguards.