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Applied Claude AI Engineering: Designing Intelligent Agents and Scalable Pipelines Using LangChain, LangGraph, and Model Context Protocol (Intelligent Automation and AI Systems Engineering Series) - Softcover
Book 3 of 4: Intelligent Automation and AI Systems Engineering Series
Synopsis
This book provides a detailed examination of engineering practices for building advanced AI systems centered on Anthropic's Claude models. It focuses on the integration of LangChain for modular LLM application development, LangGraph for stateful agent orchestration and workflow management, and the Model Context Protocol (MCP) for standardized, secure connections to external data sources, tools, and services.
Readers will explore architectural patterns for creating reliable, context-aware intelligent agents capable of complex reasoning and multi-step interactions. The content covers practical implementation strategies for constructing scalable pipelines that leverage MCP servers, adapt tools across distributed environments, and maintain consistency in long-running agent executions.
Designed for experienced developers, AI engineers, and technical architects already familiar with Python-based LLM frameworks and agent concepts, this volume emphasizes production-grade design decisions, interoperability considerations, and performance optimization in real-world deployments.
If you are ready to advance your capabilities in constructing sophisticated Claude-powered systems, add this resource to your library today.
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Applied Claude AI Engineering: Designing Intelligent Agents and Scalable Pipelines Using LangChain, LangGraph, and Model Context Protocol (Intelligent Automation and AI Systems Engineering Series)
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Applied Claude AI Engineering
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Applied Claude AI Engineering (Paperback)
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Paperback. Condition: new. Paperback. This book provides a detailed examination of engineering practices for building advanced AI systems centered on Anthropic's Claude models. It focuses on the integration of LangChain for modular LLM application development, LangGraph for stateful agent orchestration and workflow management, and the Model Context Protocol (MCP) for standardized, secure connections to external data sources, tools, and services. Readers will explore architectural patterns for creating reliable, context-aware intelligent agents capable of complex reasoning and multi-step interactions. The content covers practical implementation strategies for constructing scalable pipelines that leverage MCP servers, adapt tools across distributed environments, and maintain consistency in long-running agent executions. Designed for experienced developers, AI engineers, and technical architects already familiar with Python-based LLM frameworks and agent concepts, this volume emphasizes production-grade design decisions, interoperability considerations, and performance optimization in real-world deployments.If you are ready to advance your capabilities in constructing sophisticated Claude-powered systems, add this resource to your library today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798250265416
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Applied Claude AI Engineering
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Applied Claude AI Engineering (Paperback)
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Paperback. Condition: new. Paperback. This book provides a detailed examination of engineering practices for building advanced AI systems centered on Anthropic's Claude models. It focuses on the integration of LangChain for modular LLM application development, LangGraph for stateful agent orchestration and workflow management, and the Model Context Protocol (MCP) for standardized, secure connections to external data sources, tools, and services. Readers will explore architectural patterns for creating reliable, context-aware intelligent agents capable of complex reasoning and multi-step interactions. The content covers practical implementation strategies for constructing scalable pipelines that leverage MCP servers, adapt tools across distributed environments, and maintain consistency in long-running agent executions. Designed for experienced developers, AI engineers, and technical architects already familiar with Python-based LLM frameworks and agent concepts, this volume emphasizes production-grade design decisions, interoperability considerations, and performance optimization in real-world deployments.If you are ready to advance your capabilities in constructing sophisticated Claude-powered systems, add this resource to your library today. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798250265416
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Applied Claude AI Engineering : Designing Intelligent Agents and Scalable Pipelines Using LangChain, LangGraph, and Model Context Protocol
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Taschenbuch. Condition: Neu. Neuware - This book provides a detailed examination of engineering practices for building advanced AI systems centered on Anthropic's Claude models. It focuses on the integration of LangChain for modular LLM application development, LangGraph for stateful agent orchestration and workflow management, and the Model Context Protocol (MCP) for standardized, secure connections to external data sources, tools, and services. Readers will explore architectural patterns for creating reliable, context-aware intelligent agents capable of complex reasoning and multi-step interactions. The content covers practical implementation strategies for constructing scalable pipelines that leverage MCP servers, adapt tools across distributed environments, and maintain consistency in long-running agent executions. Designed for experienced developers, AI engineers, and technical architects already familiar with Python-based LLM frameworks and agent concepts, this volume emphasizes production-grade design decisions, interoperability considerations, and performance optimization in real-world deployments.If you are ready to advance your capabilities in constructing sophisticated Claude-powered systems, add this resource to your library today. Seller Inventory # 9798250265416
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