Agentic AI Engineering

"We have strong conviction that AI agents will change how we all work and live. Think of agents as software systems that use AI to perform tasks on behalf of users or other systems."

– Andy Jassy, CEO of Amazon

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 45 modules, organized into eight major chapters. The journey begins with the fundamentals of autonomy and progresses to designing and building agents in Python.

Main Topics
• How autonomous systems differ from automation
• How reasoning loops operate
• How core components such as tools and logic combine
• How to build simple agents in python

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.

Table of Contents
• Chapter I – Foundations
• Chapter II – Pre-Built Agents
• Chapter III – Building Agents from Scratch
• Chapter IV – Prompt Engineering for Agents
• Chapter V – Safety, Governance, and Risk
• Chapter VI – Deployment and Operations
• Chapter VII – Real-World Use Cases
• Chapter VIII – The Future of Agentic AI
• Additional Content Available Online

Additional Content
Throughout the book, selected modules are supported by additional online resources, including tools and detailed examples.

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.

Scroll up and click Buy Now to start reading.