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Artículo: AMZ-B0G4RGL82F
Architecting Agentic AI Systems: Design Patterns, Workflows, and Best Practices for OpenAI APIs, LangChain, and Next-Gen Autonomous Agents
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Paperback
Detalles del producto
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En stock
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0.32 kg
0.32 kg
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Sí
Sí
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Nuevo
Nuevo
Producto de
Amazon
Amazon
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USA
USA
Sobre este producto
- What if the next breakthrough in artificial intelligence isn’t a bigger model, but an intelligent system that can perceive, reason, act, improve itself, and work alongside humans with real autonomy?Architecting Agentic AI Systems answers this question with clarity, precision, and a practical blueprint you can apply immediately.This book gives you a complete, end-to-end understanding of how modern agentic AI systems are designed, built, deployed, and scaled. Instead of treating AI as a static model that responds to prompts, it reveals how to create autonomous, goal-driven agents capable of planning, tool use, long-term memory, collaboration, and complex multi-step execution. Drawing on the latest advances across OpenAI APIs, LangChain, LangGraph, CrewAI, and next-generation frameworks, you are guided through the patterns, workflows, and architectural thinking used by elite technical teams building production-grade AI systems today.By reading this book, you will learn how to: • Design agent loops that enable reasoning, perception, reflection, and adaptive action • Build multi-agent systems that coordinate, delegate tasks, and pursue long-term objectives • Integrate tools such as retrieval, search, APIs, browsing, code execution, vector stores, and automation • Apply memory systems, planning strategies, and architectural building blocks that make agents reliable and scalable • Deploy agentic systems using cloud runtimes, serverless models, containerized workflows, and enterprise integrations • Introduce guardrails, governance, observability, and safety practices essential for real-world operationsWhat makes this book different is its emphasis on productionization. Every chapter is engineered to close the gap between experimentation and real-world deployment. The explanations are deep, the examples are practical, and the frameworks are shaped by the challenges that matter most: reliability, cost control, safety, and system-level performance. Whether you are a software engineer, architect, product builder, researcher, or decision maker, this book offers the clarity and direction required to create systems that move from clever demos to dependable autonomy.If you're ready to build agentic AI that can work, learn, and scale—rather than just respond—this is the guide you need. Start reading today and take your place at the forefront of autonomous intelligence.
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