Are you building AI systems that actually work in production - or just demos that impress in a sandbox?
From Prompts to Agentic AI is the hands-on engineering guide for architects and developers who want to ship production-grade AI systems on Azure. Written by an AI Architect with 11+ years of enterprise experience across Microsoft, WinWire Technologies, and global clients, this book takes you from foundational LLM concepts to fully deployed, observable, secure multi-agent systems.
You will build 10 complete end-to-end Azure AI projects spanning HR policy automation, banking support agents, healthcare clinical RAG, legal document analysis, fraud detection, and executive decision intelligence - each with full code, deployment scripts, cost breakdowns, and architecture diagrams.
Topics covered include enterprise RAG from first principles, multi-agent orchestration with AutoGen and LangGraph, agent memory systems, production engineering with LangFuse and DeepEval, and security with prompt injection defence and RBAC patterns.
The Azure stack: Azure OpenAI - Azure AI Search - Cosmos DB - Redis Cache - Container Apps - AKS - Key Vault
This is not theory. This is a production engineering manual.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : new. Paperback. Are you building AI systems that actually work in production - or just demos that impress in a sandbox?From Prompts to Agentic AI is the hands-on engineering guide for architects and developers who want to ship production-grade AI systems on Azure. Written by an AI Architect with 11+ years of enterprise experience across Microsoft, WinWire Technologies, and global clients, this book takes you from foundational LLM concepts to fully deployed, observable, secure multi-agent systems.You will build 10 complete end-to-end Azure AI projects spanning HR policy automation, banking support agents, healthcare clinical RAG, legal document analysis, fraud detection, and executive decision intelligence - each with full code, deployment scripts, cost breakdowns, and architecture diagrams.Topics covered include enterprise RAG from first principles, multi-agent orchestration with AutoGen and LangGraph, agent memory systems, production engineering with LangFuse and DeepEval, and security with prompt injection defence and RBAC patterns.The Azure stack: Azure OpenAI - Azure AI Search - Cosmos DB - Redis Cache - Container Apps - AKS - Key VaultThis is not theory. This is a production engineering manual. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798903628384
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Paperback. Etat : new. Paperback. Are you building AI systems that actually work in production - or just demos that impress in a sandbox?From Prompts to Agentic AI is the hands-on engineering guide for architects and developers who want to ship production-grade AI systems on Azure. Written by an AI Architect with 11+ years of enterprise experience across Microsoft, WinWire Technologies, and global clients, this book takes you from foundational LLM concepts to fully deployed, observable, secure multi-agent systems.You will build 10 complete end-to-end Azure AI projects spanning HR policy automation, banking support agents, healthcare clinical RAG, legal document analysis, fraud detection, and executive decision intelligence - each with full code, deployment scripts, cost breakdowns, and architecture diagrams.Topics covered include enterprise RAG from first principles, multi-agent orchestration with AutoGen and LangGraph, agent memory systems, production engineering with LangFuse and DeepEval, and security with prompt injection defence and RBAC patterns.The Azure stack: Azure OpenAI - Azure AI Search - Cosmos DB - Redis Cache - Container Apps - AKS - Key VaultThis is not theory. This is a production engineering manual. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9798903628384
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