SKU/Artículo: AMZ-B0G1YNVLPK

Mastering LangGraph Building Dynamic AI Workflows and Agents with LangChain: A Comprehensive Guide to Designing, Developing, and Deploying Intelligent Multi-Agent Systems

Format:

Kindle

Kindle

Paperback

Detalles del producto
Disponibilidad:
En stock
Peso con empaque:
0.76 kg
Devolución:
Condición
Nuevo
Producto de:
Amazon
Viaja desde
USA

Sobre este producto
  • Unlock the full potential of AI-driven automation with Mastering LangGraph: Building Dynamic AI Workflows and Agents with LangChain. This essential guide empowers developers, data scientists, and AI enthusiasts to harness the power of LangGraph, the innovative extension of LangChain, for creating sophisticated, adaptive multi-agent systems. Dive deep into the world of intelligent agents, dynamic workflows, and scalable AI architectures that revolutionize how we build and deploy AI solutions. In this comprehensive resource, you'll explore step-by-step strategies for designing AI agents, developing multi-agent systems, and deploying LangChain-based workflows that adapt in real-time to complex tasks. From foundational concepts like graph-based AI modeling and agent orchestration to advanced topics such as state management, error handling, and integration with large language models (LLMs), this book covers it all. Learn to leverage LangGraph's tools for building autonomous agents, collaborative multi-agent environments, and production-ready AI pipelines that enhance efficiency in fields like automation, natural language processing (NLP), and decision-making systems. Packed with practical examples, code snippets, and best practices, Mastering LangGraph equips you with the skills to tackle real-world challenges, including optimizing agent interactions, implementing feedback loops, and ensuring robust security in AI deployments. Whether you're a beginner looking to master LangChain fundamentals or an experienced practitioner aiming to elevate your AI engineering expertise, this book provides actionable insights into AI workflow optimization, agent-based programming, and scalable multi-agent architectures.
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AR$16.693
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