How To Build AI Agents

From Scratch

About the Book

"How To Build AI Agents: From Scratch" is a comprehensive, hands-on guide designed to take you from the fundamental concepts of agent-based AI to the practical implementation of sophisticated autonomous systems. It is engineered to serve as a primary textbook for students and a practical handbook for professionals.


Philosophy

The core philosophy of this book is "Learn by Building." I believe that true understanding in a field as practical as AI engineering comes from direct experience. Theoretical knowledge is essential, but it is only when you write the code, debug the logic, and see a system operate that concepts solidify. This book systematically demystifies AI agents by breaking them down into their constituent parts—perception, memory, reasoning, and action—and guiding you through the process of building each one.


Key Features

1. From-Scratch Approach: Learn the fundamental mechanics of AI agents instead of just using high-level APIs.
2. Practical and Application-Oriented: The book dedicates more space to practical implementation, hands-on examples, and case studies than to dense theory.
3. Simplified Algorithms: Core algorithms for planning, reasoning, and learning are presented in their simplest, most intuitive forms, making them accessible to newcomers.
4. Step-by-Step Tutorials: Complex processes are broken down into easy-to-follow, numbered steps, guiding the reader through design, coding, and testing.
5. Complete Capstone Project: The final chapter features a comprehensive DIY project to build a working AI agent, integrating all the concepts learned throughout the book, complete with full, explained code.
6. Latest Architectures and Frameworks: Covers modern agentic architectures like ReAct (Reasoning and Acting) and introduces popular frameworks to show how "from scratch" knowledge can be scaled with production-grade tools.
7. Globally Compatible: The focus on foundational principles ensures the content is relevant for any B.Tech, M.Tech, or equivalent Computer Science curriculum worldwide.


To Whom This Book Is For

This book is written for a broad audience with a foundational knowledge of programming (preferably Python):

1. B.Tech/M.Tech Computer Science Students: Serves as a core textbook for courses on Artificial Intelligence, AI Agents, or Intelligent Systems.
2. Software Developers and Engineers: An ideal resource for professionals looking to upskill and transition into the rapidly growing field of AI engineering.
3. AI/ML Practitioners: A practical guide for those who may have experience with model training but are new to building autonomous agentic systems.
4. Educators and Self-Learners: A clear, structured, and self-contained guide for anyone passionate about building the next generation of AI applications.

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!