Overview

The world's smartest systems no longer follow-they lead. In Agentic AI in Action: Engineering Intelligent Agents for Real-World Automation, Pascal David Bornetti unveils the complete blueprint for building autonomous, decision-making AI systems that think, plan, and act independently. This is your essential guide to the next era of agentic artificial intelligence-where machines collaborate, learn, and manage workflows without constant human input. Designed for developers, data scientists, and tech innovators, this hands-on book blends AI theory with practical engineering using frameworks like LangChain, OpenAI API, and multi-agent orchestration. Whether you're automating complex processes or designing scalable intelligent systems, you'll learn how to harness goal-driven automation to create agents that truly think for themselves. Inside, you'll discover how to: - Architect intelligent agent systems from the ground up - Build multi-agent environments with memory, communication, and adaptive reasoning - Automate decision-making workflows using LangChain and OpenAI function calling - Integrate RAG (Retrieval-Augmented Generation) for dynamic, real-time knowledge access - Manage autonomous systems with safety, transparency, and control - Deploy, scale, and monitor your AI agents in production Packed with real-world examples and industry case studies, this book shows you exactly how to design, train, and orchestrate the next generation of AI-driven automation-agents that reason, collaborate, and execute intelligently at scale. Empower your AI to lead, not follow-this is Agentic AI in Action.

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