AI Agents and Autonomous Systems

By: Ajit Singh

Narrated by: Virtual Voice

"AI Agents and Autonomous Systems" is a comprehensive, modern, and practical guide designed to navigate the exciting landscape of intelligent systems. This book serves as both a university textbook and a hands-on manual for anyone looking to understand, design, and build the next generation of AI. In an era where AI is moving from a passive tool to an active participant, understanding the principles of autonomy is no longer optional—it is essential. We cut through the hype and provide a clear, structured pathway from foundational theories to the implementation of cutting-edge, LLM-powered agents.


Key Features:


1. Beginner to Advanced Progression: The 10-chapter arc logically progresses from basic definitions to building a complex capstone project, making it suitable for a wide range of learners.
2. Hands-on Practicals and Code: Features extensive Python code examples and dedicated labs using popular, industry-standard libraries and frameworks.
3. Focus on Modern, Updated Topics: Includes dedicated chapters on the latest breakthroughs, including the use of Large Language Models (LLMs) as agent cores and frameworks like LangChain.
4. Real-World Case Studies: Explores the application of AI agents in GPS navigation, recommendation systems, swarm robotics, and more, providing context and relevance.
5. Complete Capstone Project: The final chapter is a detailed, step-by-step guide to building a fully functional Autonomous Research Assistant, complete with all the working code and explanations.
6. Clear and Simple Language: Avoids unnecessary jargon and explains every concept in the simplest and most intuitive way possible.
7. Ethical Considerations: A dedicated chapter on AI ethics, safety, and governance prepares students to be responsible innovators.


Who is this book for?

This book is primarily intended for:


1. B.Tech and M.Tech Students: Undergraduates and postgraduates in Computer Science, Information Technology, AI & Machine Learning, and related engineering disciplines.
2. Aspiring AI/ML Engineers: Individuals looking to build a strong, practical foundation in AI agent development to launch a career in the field.
3. Software Developers and Professionals: Programmers and engineers who want to upskill and integrate AI and autonomous capabilities into their applications.
4. Academic Researchers: A valuable resource for those beginning their research journey into agent-based modeling and multi-agent systems.
5. AI Enthusiasts and Hobbyists: Anyone with a passion for technology who wants to move beyond theory and start building intelligent agents.