Agentic System Design & Development

By: Ajit Singh

Narrated by: Virtual Voice

About the Book

"Agentic System Design & Development" is a comprehensive and practical guide to understanding, designing, developing and implementing autonomous intelligent systems. It is meticulously crafted to serve as a primary textbook for undergraduate and postgraduate courses in computer science and artificial intelligence, fully compliant with the syllabi of major international universities.


Philosophy

The guiding philosophy of this book is "learning by doing." While a solid theoretical understanding is essential, true mastery comes from practical application. This text deliberately prioritizes implementation over abstract theory. Every concept is introduced with the ultimate goal of being built and tested. The book bridges the gap between classical AI agent theory (like BDI models) and the modern, LLM-driven agentic revolution, presenting them as an evolutionary continuum. I have focused on building intuition through simple, concrete examples that scale up in complexity, ensuring that the "why" is always connected to the "how."


Key Features

1. Practical-First Approach: Over 60% of the content is dedicated to practical implementation, code examples, hands-on tutorials, and case studies.
2. Beginner to Advanced Trajectory: The book starts with the absolute basics, assuming no prior knowledge of agentic systems, and progressively builds to advanced topics like agent memory, tool use, and deployment strategies.
3. Focus on Modern LLM-Powered Agents: While respecting classical AI, the book heavily focuses on designing and building agents using modern Large Language Models and frameworks like LangChain.
4. Complete DIY Capstone Project: Chapter 10 provides a complete, end-to-end project with full working code and detailed explanations, allowing students to build a portfolio-worthy application.
5. Simplicity and Clarity: All algorithms, concepts, and code are presented in the simplest way possible, making them accessible to beginners without sacrificing technical accuracy.
6. Logically Sequenced Chapters: The content flows in a logical and intuitive order, with each chapter building directly upon the last.


To Whom This Book Is For

1. B.Tech/B.E. Computer Science & IT Students: An ideal textbook for courses on Artificial Intelligence, Intelligent Systems, or specialized electives on AI Agents.
2. M.Tech/M.S. Students: A valuable resource for post-graduate students specializing in AI, Machine Learning, and Robotics.
3. Software Developers & Engineers: Professionals seeking to upskill and learn how to design and integrate autonomous agentic capabilities into their applications.
4. AI Enthusiasts and Self-Learners: Individuals with a programming background who want a structured, practical guide to building modern AI agents.

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!