AI Agent Engineering: From Foundations to Production

Using clear explanations, relatable analogies, step-by-step code examples, quizzes, revision cards, practical challenges, and a capstone project, this book explains how AI agents think, choose tools, process information, remember conversations, follow guardrails, and complete multi-step tasks.

Inside this course, readers will explore:

The difference between a standard language model and an AI agent

Agent reasoning, planning, tool use, memory, and guardrails

LangChain agents and the ReAct workflow

Multi-agent teams and collaboration patterns

CrewAI, AutoGen, and LangGraph

Function calling, structured outputs, and JSON

RAG-powered document search

Fine-tuning and local AI models

Authentication, databases, analytics, and testing

Application architecture and deployment

Interview questions, model answers, and system-design preparation

A complete capstone project combining the course concepts

Whether you are a beginner entering artificial intelligence, a developer expanding your practical skills, or a professional preparing for AI-focused opportunities, this course provides a structured path from understanding how agents work to designing systems that can operate in real applications.

AI Agent Engineering: From Foundations to Production does not merely introduce the technology—it helps readers understand, build, test, improve, and prepare to deploy intelligent AI-agent applications with greater confidence.

Start with the agent loop. Finish with a production-ready AI system. Master the art of note-taking with this extensive guide. Available in PDF format.