Practical Approach to Agentic AI author-Shweta Kamath, Vikas Gautam

Agentic AI is rapidly emerging as the next frontier in artificial intelligence, enabling systems to act autonomously, adapt in real time, and make goal-driven decisions. In today’s fast-evolving digital landscape, this technology is reshaping industries by powering intelligent workflows, enhancing efficiency, and unlocking new opportunities for innovation.

This book provides a structured journey from foundational concepts to advanced implementation. It begins with the evolution of AI and the defining principles of agentic systems, then explores agent properties such as memory, personas, and lifecycle management. Readers will gain insights into enabling technologies like LLMs and reinforcement learning, followed by architectural patterns for building scalable agents. The chapters provide hands-on evaluations of frameworks like AutoGen, CrewAI, and LangGraph, alongside strategies for data governance and industry-specific use cases in finance and healthcare, such as fraud detection, healthcare personalization, and supply chain optimization. Through a delivery bot case study, you will master implementation, scaling, and AgentOps. Finally, we cover production readiness using containerization and LLM-as-a-judge evaluation to prepare you for the path to AGI.

By the end of this book, you will be competent in designing, securing, and deploying professional AI agents. You will possess the practical skills to transition from concept to production, ready to lead innovation in the agentic age.