Agentic AI - A Beginner's Guide to Autonomous Intelligent Systems

This book offers a comprehensive introduction to Agentic AI, a transformative field where AI systems act autonomously, adaptively, and collaboratively. It bridges rigorous theoretical foundations with practical implementation, guiding readers through core concepts such as agency, autonomy, and intelligent behaviour. The text balances conceptual understanding with hands-on examples using industry-standard frameworks like LangChain, LangGraph, LlamaIndex, and CrewAI. Readers will explore real-world applications, from retrieval-augmented generation systems to multi-agent healthcare assistants, gaining insights into design patterns, architectural principles, and operational best practices. The book uniquely addresses critical aspects often overlooked in AI literature, including monitoring, observability, ethical deployment, and human-AI collaboration. A capstone project on building a multi-agent healthcare diagnostic assistant integrates all major concepts, simulating real-world challenges. Designed for students and professionals alike, this book equips readers with the skills and knowledge to build robust, scalable, and ethical agentic AI systems, preparing them for the rapidly evolving future of intelligent autonomous systems.