AWS Generative AI Developer Professional — Second Edition

AWS Generative AI Developer Professional — Second Edition A Complete Skills-Mapped Study Guide for the AIP-C01 Exam The AWS Certified Generative AI Developer – Professional (AIP-C01) is not a memorization exam. It is a judgment exam. It presents real architectural scenarios and asks you to select the correct solution from four plausible options — where every distractor is designed to look right to someone who studied the features but never understood the decisions behind them. This book trains the other kind of thinking. What Makes This Guide Different Every chapter follows a disciplined structure: concept → mechanism → practical example → exam decision point. You learn not just what each AWS service does, but when it is the right choice, why it outperforms the alternatives in a given context, and what trade-off you accept when you select it. Architecture patterns, decision frameworks, and trade-off tables replace feature lists and rote definitions throughout. This is the Second Edition, rebuilt from reader feedback. Expanded coverage, a restructured layout for faster navigation under study pressure, additional scenario questions, new architecture diagrams, and dozens of improvements requested by the first-edition community have all been incorporated. What This Book Covers All five exam domains are covered in full, mapped chapter-by-chapter to the official AWS exam blueprint: Foundation model selection — Claude, Titan, Llama, Mistral and model tier decision frameworks Expert-level prompt engineering — structured templates, chain-of-thought, constrained decoding Embeddings, vector databases, chunking strategies, and production RAG pipelines Hybrid search, ANN index optimization, reranking, and multi-hop retrieval Knowledge graphs, document ingestion pipelines, and index governance Observability, logging, and monitoring for GenAI systems CI/CD, container packaging, GPU optimization, and deployment patterns Security, IAM, VPC isolation, prompt injection defenses, and compliance frameworks Cost optimization, token budgeting, and FinOps strategies for GenAI Responsible AI, data privacy, auditability, and bias detection Practice Questions 150+ practice questions in two formats: 100 domain-mapped multiple-choice questions covering all exam skill areas, and 50 scenario-based questions that test architectural judgment with real operational context. Every question includes a detailed explanation of why the correct answer is right and why each distractor fails in the specific scenario described. Appendix Reference Guide A dedicated reference section covers the foundation model comparison matrix, RAG strategy cheat sheet, production-ready prompt engineering templates, Bedrock API parameter glossary, evaluation metrics reference, and six canonical AWS integration patterns — designed for fast lookup during final exam preparation. Who This Book Is For Developers and engineers preparing for the AWS Certified Generative AI Developer – Professional (AIP-C01) exam Solutions architects and ML engineers designing AWS-based generative AI systems in production Certification candidates who want architectural depth, not just feature summaries First-edition readers returning for the expanded and restructured second edition