Overview

Unlock the full power of Azure AI Foundry with this comprehensive, practical blueprint for building, deploying, and operating production-ready intelligent systems. Whether you're an AI engineer, ML scientist, architect, or DevOps specialist, this book provides end-to-end guidance for leveraging cutting-edge retrieval-augmented generation (RAG) pipelines, autonomous multi-agent frameworks, and robust security, observability, and scaling strategies tailored for the enterprise. Inside, you'll discover: - In-depth architectural patterns and core components that ensure your AI solutions are reliable, scalable, and secure. - Step-by-step instructions to build advanced RAG pipelines grounding language models in real-world data, reducing hallucinations and elevating precision. - Agent design patterns including autonomous reasoning, memory management, and safe tool invocation for next-generation AI applications. - Proven integration techniques for complex multi-agent systems communicating asynchronously with enterprise CRMs, ERPs, and custom tools. - Comprehensive security practices, from network isolation and secrets management to prompt injection mitigation and responsible AI frameworks. - Extensive observability approaches leveraging Azure Monitor and OpenTelemetry, empowering you to diagnose, optimize, and maintain AI systems smoothly. - Robust CI/CD pipelines, canary deployments, and scaling patterns ensuring safe and seamless production rollouts. - Practical readiness checklists and blueprints transforming your AI prototypes into mission-critical enterprise assets. With code samples, architecture diagrams, real-world case studies, and expert insights, this book transcends theory, empowering you to master the entire AI lifecycle on Azure. Whether you're aiming to accelerate customer service AI, streamline knowledge retrieval, or build intelligent agent platforms, Azure AI in Action is your definitive companion to mastering Azure AI Foundry and delivering intelligent systems that drive tangible business value securely, reliably, and at scale. Step into the future of enterprise AI with confidence, backed by this authoritative guide.

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