Agentic AI Engineering
Systems That Reason and Act Autonomously — Designing, Building, and Prompting LLM-Based Agents for Real-World Deployment
About this book
Agentic AI has quickly emerged as the new class of intelligent systems, fundamentally changing how work is completed and delegated. These agents can reason across multiple steps and pursue goals over time, opening up new possibilities in business, science, and other evolving fields.
Bestselling author Hyun Erwin presents a comprehensive resource spanning 43 modules, organized into seven major chapters. The journey begins with the fundamentals of autonomy and progresses to designing and building agents in Python.
Whether you are learning the foundations of agentic AI or building autonomous systems in professional environments, this book provides a structured and practical guide to designing AI agents that operate reliably across real-world workflows.
What you'll learn
- How autonomous systems differ from automation
- Reasoning loops and core components
- Designing system prompts and tools
- Building single- and multi-agent systems in Python
Table of contents
- 1Chapter I — Foundations
- 2Chapter II — Agent Taxonomies and Architectures
- 3Chapter III — System Prompt and Tool Design
- 4Chapter IV — Building a Single-Agent System
- 5Chapter V — Building a Multi-Agent System
- 6Chapter VI — Evaluation and Testing
- 7Chapter VII — Deployment and Operations
Who this book is for
This book is written for developers, software engineers, and AI enthusiasts who want a deeper understanding of how agents operate. It assumes a basic knowledge of coding and presents the material at an intermediate level.