Agentic AI Cookbook
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ISBN: 9788167080523
eISBN: 9788167080530
Author: Nishant Srivastava
Rights: Worldwide
Edition: 2027
Pages: 492
Dimension: 7.5*9.25 Inches
Book Type: Paperback
- Description
- Table of Contents
- About the Authors
Agentic AI represents the next major paradigm shift in artificial intelligence, moving from passive text generation to autonomous systems that reason, collaborate, and execute complex workflows. This book is your hands-on roadmap for bridging the gap between AI theory and building self-directed, real-world intelligent agents.
This cookbook pairs clear principles with more than eighty hands-on recipes. It builds the foundations of agentic AI and the MCP and A2A protocols, then tours the major frameworks: LangChain and LangGraph, the Microsoft Agent Framework, and CrewAI. It covers single-agent design and recipes, multi-agent communication patterns, and twenty multi-agent systems, then takes agents into the enterprise across procurement, HR, legal, sales, and finance, with a plane-based deployment architecture, security and threat modeling, and the governance, trust, and ethics that autonomy demands. It targets production-grade enterprise applications across procurement, legal, HR, finance, IT, and sales, while mastering containerization, API gateways, state scaling, prompt injection defense, RBAC, command sandboxing, and governance frameworks.
By the end of this cookbook, you will possess the practical skills to confidently design, build, and deploy secure, scalable, and collaborative agentic AI systems ready to solve complex enterprise challenges.
WHAT YOU WILL LEARN
● Build agents with tools, memory, planning, and reasoning.
● Implement Model Context and Agent-to-Agent protocols.
● Orchestrate workflows with LangChain, Microsoft Agent Framework, and CrewAI.
● Apply single-agent and multi-agent communication design patterns.
● Deploy agentic systems across cloud, hybrid, and edge.
● Secure agents against prompt injection and data leakage.
● Evaluate, govern, and build trust in autonomous systems.
WHO THIS BOOK IS FOR
This book is for AI engineers, solution architects, and developers moving from prompt-based prototypes to production-grade autonomous agents. It also serves data scientists, technical leads, and product managers who design, deploy, or govern single-agent and multi-agent systems across enterprise business functions.
1. The Evolution of Intelligence
2. Architecting the Agentic Stack
3. Standard Protocol in Agent AI
4. LangChain Framework
5. Microsoft Agent Framework
6. CrewAI and Emerging Open-source Framework
7. Single-Agent Design Principles
8. Recipes for Single-Agent Use Cases
9. Multi-Agent Communication Patterns
10. Multi-Agent Communication Patterns Recipes
11. Agentic AI in Business Functions
12. Architecting and Deploying Agentic Systems
13. Securing AI Agents
14. Building Trust and Ethical Considerations
Nishant Srivastava is an Architect at Microsoft with more than twenty years of experience helping global enterprises design, build, and operationalize technology solutions. His work focuses on moving AI beyond experimentation into reliable, governed systems that deliver measurable business outcomes.
His expertise spans agentic AI, multi-agent systems, knowledge engineering, and AI governance, with a focus on the Microsoft AI platform. At the heart of his work is a practical challenge: reconciling the probabilistic behavior of large language models with enterprise demands for reliability, auditability, and safe execution. The recipes and hard-won lessons in this book draw directly from that experience.
Nishant has received the Microsoft CFO Award and has been inducted into the Microsoft Circle of Excellence Gold Club. He is a Microsoft Certified Azure Solutions Architect Expert and Azure AI Engineer, and an alumnus of the Indian Institute of Management, Kozhikode. As an Industry Member of the Board of Studies at Manipal University, Jaipur, he helps connect academic learning with the demands of enterprise system design.
He writes regularly on agentic architecture, multi-agent orchestration, and the design principles that make autonomous systems trustworthy in practice.