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Agentic AI Development with Python: Create Adaptive AI Agents, Chatbots, and Automation Pipelines with LLMs, Reinforcement Learning, and Open-Source Agent Frameworks
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.39 kg
0.39 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- AI agents are redefining modern software—powering chatbots, automation systems, productivity tools, and fully autonomous workflows. By combining Python, LLMs, reinforcement learning, and agent frameworks like LangGraph, LangChain, and n8n, developers can now build intelligent systems that reason, plan, and act. This book is a practical guide to creating real agentic AI systems from the ground up. If you want to design conversational agents, build task-oriented automation, or deploy fully autonomous decision-making systems, this book provides the tools and step-by-step skills you need. What You Will Learn Core Agent FoundationsHow agent architectures, memory, planning, and tools workThe difference between reactive, cognitive, and autonomous agentsHow LLMs and machine learning models drive intelligent behavior Practical ML & RL for AgentsKey machine learning and deep learning conceptsReinforcement learning for adaptive decision-makingTraining and improving agent behavior Hands-On Projects Build real systems, including:Conversational chatbots with memoryTask-executing agents using tools and APIsAutomation pipelines with n8nMulti-agent collaboration systemsPython-driven autonomous agents Deployment & ScalingPackaging agents for productionIntegrating APIs, vector databases, and external toolsMonitoring, optimizing, and improving performanceWho This Book Is For Developers, engineers, data scientists, and AI enthusiasts who want to build practical, real-world AI agents. A basic understanding of Python is all you need. Build the Future of Intelligent Automation Start your journey into agentic AI and learn how to create systems that think, learn, and act. Grab your copy and begin building the next generation of AI agents.
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