Practical Approach to Agentic AI

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.

WHAT YOU WILL LEARN
● Understand core principles that define modern agentic AI systems.
● Learn step-by-step methods for designing enterprise agent workflows.
● Discover data foundations needed to enable reliable autonomous agents.
● Explore architecture patterns for scalable multi-agent applications.
● Build practical skills to prototype, test, and deploy AI agents.
● Apply observability and monitoring principles for auditing agent behavior.
● Identify real industry use cases and implementation best practices.

WHO THIS BOOK IS FOR
This book is for technology leaders, architects, and developers who possess a solid foundation in Python and basic AI concepts. It serves product teams and practitioners needing professional guidance to design, scale, and responsibly deploy autonomous multi-agent systems.

1. Introduction to Agentic AI
2. Essential Concepts of Agentic AI
3. Core Technologies Enabling Agentic AI
4. Agentic AI Architecture
5. Data Management for Agentic AI
6. Frameworks for Agentic AI-Part 1
7. Frameworks for Agentic AI-Part 2
8. Value Add with Agentic AI
9. Practical Example: Case Study
10. Implementation Approach to Agentic AI
11. Productionizing Agentic AI
12. Future of Agentic AI
Glossary
Bibliography
Further Readings

● Shweta Kamath is an accomplished technology leader with deep expertise in AI and distributed data systems. With professional experience at global leaders like Oracle, Databricks, J.P. Morgan, and Deloitte, she designed and deployed mission-critical data and AI systems that delivered measurable efficiency gains, automating workflows and reducing operational bottlenecks. In her current role at Microsoft, she architects AI- first strategies that bridge technical innovation with business outcomes, focusing on agentic AI frameworks and intelligent automation. Shweta is known for her ability to bridge the gap between technical and business stakeholders, translating complex AI concepts into actionable strategies. She is a frequent speaker at industry conferences and is passionate about mentoring the next generation of AI practitioners, fostering inclusive tech communities, and advocating for responsible AI development.

● Vikas Gautam is a seasoned solution architect with extensive experience in AI, big data, and cloud computing. He has worked with industry leaders such as Microsoft, Databricks, and Daimler, designing and implementing AI-driven solutions that enhance business agility and drive innovation. His expertise spans data management, AI, and advanced analytics, enabling organizations to solve complex challenges and drive digital transformation. In his current role as a solution architect at Microsoft, he continues to lead cross-functional teams in architecting scalable, secure, and innovative solutions that address real-world business problems. Vikas has a passion for public speaking and advancing technology through knowledge sharing, collaboration, and continuous learning. His commitment to excellence and forward-thinking approach have made him a trusted advisor and thought leader in the technology community.