Build intelligent, self-running AI systems that think, act, and automate your workflows.
In the AI Automation Guide, you will learn how to design, build, and deploy real-world automation systems powered by GPT-5, Claude, LangChain, and n8n. This hands-on guide takes you beyond prompt tinkering into the world of agentic AI systems that collaborate, make decisions, and operate autonomously.
Whether you are a developer, data professional, or product builder, this book provides practical frameworks and code-ready workflows to turn large language models into production-grade automation tools. You will learn how to build multi-agent architectures, integrate APIs, manage context with vector databases, and deploy systems that adapt, self-correct, and scale.
Inside, you will learn how to:Design intelligent workflows and agents that handle complex tasks automatically
Use LangChain, LangGraph, and the Model Context Protocol (MCP) to orchestrate multi-agent systems
Build Retrieval Augmented Generation (RAG) pipelines with embeddings and vector stores
Automate real business operations using n8n and low-code orchestration
Apply prompt engineering strategies and governance best practices for reliable AI behavior
Monitor, scale, and optimize AI automation systems for cost and performance
AI Email Assistant – automate and personalize communications
Document Intelligence Pipeline – extract insights from PDFs and reports
Research and Report Generator – synthesize knowledge at scale
Unified Business Automation Hub – connect multiple agents into one adaptive system
Whether you want to automate customer workflows, streamline operations, or create the next generation of autonomous AI platforms, this guide provides the blueprint, code patterns, and architectural foundations to make it happen.
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Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. Build intelligent, self-running AI systems that think, act, and automate your workflows.In the AI Automation Guide, you will learn how to design, build, and deploy real-world automation systems powered by GPT-5, Claude, LangChain, and n8n. This hands-on guide takes you beyond prompt tinkering into the world of agentic AI systems that collaborate, make decisions, and operate autonomously.Whether you are a developer, data professional, or product builder, this book provides practical frameworks and code-ready workflows to turn large language models into production-grade automation tools. You will learn how to build multi-agent architectures, integrate APIs, manage context with vector databases, and deploy systems that adapt, self-correct, and scale.Inside, you will learn how to: Design intelligent workflows and agents that handle complex tasks automaticallyUse LangChain, LangGraph, and the Model Context Protocol (MCP) to orchestrate multi-agent systemsBuild Retrieval Augmented Generation (RAG) pipelines with embeddings and vector storesAutomate real business operations using n8n and low-code orchestrationApply prompt engineering strategies and governance best practices for reliable AI behaviorMonitor, scale, and optimize AI automation systems for cost and performanceBuild four complete capstone projects: AI Email Assistant - automate and personalize communicationsDocument Intelligence Pipeline - extract insights from PDFs and reportsResearch and Report Generator - synthesize knowledge at scaleUnified Business Automation Hub - connect multiple agents into one adaptive systemWhether you want to automate customer workflows, streamline operations, or create the next generation of autonomous AI platforms, this guide provides the blueprint, code patterns, and architectural foundations to make it happen. 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 # 9798270407438
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. Build intelligent, self-running AI systems that think, act, and automate your workflows.In the AI Automation Guide, you will learn how to design, build, and deploy real-world automation systems powered by GPT-5, Claude, LangChain, and n8n. This hands-on guide takes you beyond prompt tinkering into the world of agentic AI systems that collaborate, make decisions, and operate autonomously.Whether you are a developer, data professional, or product builder, this book provides practical frameworks and code-ready workflows to turn large language models into production-grade automation tools. You will learn how to build multi-agent architectures, integrate APIs, manage context with vector databases, and deploy systems that adapt, self-correct, and scale.Inside, you will learn how to: Design intelligent workflows and agents that handle complex tasks automaticallyUse LangChain, LangGraph, and the Model Context Protocol (MCP) to orchestrate multi-agent systemsBuild Retrieval Augmented Generation (RAG) pipelines with embeddings and vector storesAutomate real business operations using n8n and low-code orchestrationApply prompt engineering strategies and governance best practices for reliable AI behaviorMonitor, scale, and optimize AI automation systems for cost and performanceBuild four complete capstone projects: AI Email Assistant - automate and personalize communicationsDocument Intelligence Pipeline - extract insights from PDFs and reportsResearch and Report Generator - synthesize knowledge at scaleUnified Business Automation Hub - connect multiple agents into one adaptive systemWhether you want to automate customer workflows, streamline operations, or create the next generation of autonomous AI platforms, this guide provides the blueprint, code patterns, and architectural foundations to make it happen. 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 # 9798270407438
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