AI Engineer's Handbook: 200 Questions and Answers for Modern AI Engineering

Artificial intelligence has moved from research labs into production systems faster than most engineering disciplines have had time to adapt. Teams are now expected to ship LLM applications, production ML systems, retrieval platforms, AI agents, and enterprise-safe AI architectures—often with little guidance on what “good” actually looks like in practice.This book was written to close that gap.AI Engineer’s Handbook is designed for engineers, architects, and technical leaders who need practical answers to the real questions that emerge when building AI systems in production. Not just how models work—but how to design, deploy, secure, evaluate, scale, and govern them responsibly.The motivation behind this book is simple: modern AI engineering needs practical engineering discipline.Too much AI content focuses on demos. Too little focuses on reliability, architecture, observability, security, and production tradeoffs. This book was written to help close that gap and give working engineers a field guide for building AI systems that are not only impressive—but dependable.If you are building AI systems that must work in the real world, this book is for you. Read more