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SKU/Artículo: AMZ-B0G9MS4MZG

Agentic AI Full-Stack Development: A Practical Guide to Building Autonomous AI Agents, LLM-Powered Applications, Tool-Using Systems, and End-to-End Intelligent Products Across the Modern Tech

Format:

Kindle

Hardcover

Kindle

Paperback

Detalles del producto

Disponibilidad:
Fuera de stock

Peso con empaque:
0.94 kg

Devolución:
No

Condición
Nuevo

Producto de:
Amazon

Viaja desde
USA

Sobre este producto

In the rapidly evolving world of artificial intelligence, Agentic AI represents the next frontier: autonomous systems that don't just generate responses but reason, plan, use tools, and execute complex tasks independently. This practical, hands-on guide equips developers, engineers, and tech professionals with the skills to build production-ready Agentic AI from the ground up—spanning the full modern tech stack. This book bridges theory and real-world implementation across 10 comprehensive chapters. You'll go beyond basic chatbots to create sophisticated LLM-powered applications, tool-integrated agents, multi-agent workflows, and complete intelligent products that adapt, retrieve knowledge, and interact dynamically with APIs, databases, and external systems. Key features include:Step-by-step tutorials using leading frameworks like LangChain, LangGraph, LlamaIndex, and othersReal-world code examples in Python for building autonomous agents with reasoning, memory, planning, and tool useIn-depth coverage of retrieval-augmented generation (RAG), knowledge graphs, vector databases, and multi-agent collaborationFull-stack integration: frontend interfaces, backend services, deployment strategies, scaling, monitoring, and ethical considerationsEnd-to-end projects simulating production scenarios, from simple tool-using agents to complex, goal-driven intelligent systemsWhether you're a full-stack developer transitioning to AI, a machine learning engineer scaling LLM applications, or a product builder creating the next generation of smart tools, this book provides the roadmap to master agentic AI. By the end, you'll be able to design, develop, and deploy robust, autonomous AI solutions that drive real value in business, automation, research, and beyond.

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