# Agentic AI in Action ## By : Vivekanandan SS, Shankar Narayanan SGS, Raphaël MANSUY, Andrea Gioia, Gabriele Venturi, Anthony Alcaraz, Hanane Dupouy, Imran Ahmad, Sandipan Bhaumik # Overview of this book Agentic AI represents the next stage of AI innovation—autonomous systems that reason, plan, and act in dynamic environments. Agentic AI in Action equips you with the knowledge and skills to design and deploy advanced AI agents, bridging cutting-edge research with real-world enterprise applications. Through expert-led sessions, you’ll explore Retrieval-Augmented Generation (RAG) agents and how to integrate them with knowledge graphs for deeper context and precision. You’ll learn to build enterprise-grade cognitive agents using frameworks like MCP and A2S, gaining insights into architecture, scalability, and reliability. Case studies demonstrate how agentic AI is transforming industries, with a special focus on applications in finance. A practical workshop with PandaAGI gives you hands-on experience in building intelligent AI agents, while another session takes you from simple prompting to deploying AI agents within Snowflake. A closing panel featuring industry leaders provides critical perspectives on challenges, opportunities, and the future of agentic AI. By the end of this course, you’ll be equipped not only with the conceptual foundation but also the practical skills to implement autonomous AI agents that drive real impact # ML Stack in Action ## [[1.Engineering Graph and RAG Agents]] ## [[ Building Knowledge Graphs to Enable Agentic AI]] ## [Developing Enterprise-Grade Cognitive Agents]() (MCP & A2S) ## [[Closing Panel: Building AI Agent]] ## [[5.AI Agents in Finance]] ## [[Workshop: Build Intelligent AI Agents with PandaAGI]] ## [[From Prompting to AI Agents in Snowflake]] --- [[Tutorial on How to Set Up an Agentic AI Workflow]]