AI Agent Engineering

By: Ajit Singh

Narrated by: Virtual Voice

"AI Agent Engineering" is a comprehensive, hands-on textbook designed to guide students and developers through the principles, design, and implementation of autonomous AI agents powered by Large Language Models (LLMs). It serves as a practical bridge from foundational AI concepts to the creation of sophisticated, goal-oriented systems.

Philosophy

The core philosophy of this book is "Build to Understand." I believe that true mastery of AI agent engineering comes not from memorizing theories, but from the practical application of concepts. The text is structured as an incremental, project-based learning path. Each chapter introduces a new layer of agent capability, immediately reinforced with code examples, practical exercises, and real-world case studies. The focus is always on the how and the why of building systems that can reason, plan, and execute tasks autonomously.


Key Features

1. Step-by-Step Tutorials: Each chapter provides clear, numbered steps for building components of an AI agent.

2. Complete Code Examples: All examples are provided with complete, working code in Python, using popular and up-to-date libraries.

3. Hands-On Case Studies: In-depth case studies show how agentic principles are applied in industries like finance, healthcare, and e-commerce.

4. Capstone Project: The final chapter is a comprehensive, do-it-yourself (DIY) project that integrates all the concepts learned throughout the book into a single, impressive application.


To Whom This Book Is For

This book is primarily intended for:

1. Undergraduate and Graduate Students (B.Tech/M.Tech Computer Science): Serves as a primary textbook for courses on AI, Machine Learning, or specialized electives on AI Agents.

2. Software Developers and Engineers: Professionals looking to upskill and transition into the field of AI engineering.

3. Aspiring AI Researchers: Provides a strong practical foundation for those wishing to pursue advanced research in agentic AI.


Disclaimer: Earnest request from the Author.

Kindly go through the table of contents and refer kindle edition for a glance on the related contents.

Thank you for your kind consideration!