Azure AI Agents: Build, Deploy, and Scale Production-Ready Agentic Systems with Microsoft Foundry

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Bol AI agents are changing the way intelligent applications interact with users, data, tools, and business systems. Azure AI Agents: Build, Deploy, and Scale Production-Ready Agentic Systems with Microsoft Foundry provides a practical technical guide to designing and deploying agentic AI solutions within the Microsoft Azure ecosystem. The book introduces the concepts behind AI agents and explains how agentic systems differ from traditional chatbot and prompt-based applications. Readers will explore agent architecture, instructions, tools, knowledge sources, orchestration, memory, evaluation, security, deployment, and monitoring. The book also examines how Microsoft Foundry can support the development and management of AI applications and agent-based solutions. Through practical architectures and implementation-oriented examples, readers will learn how to move from a simple AI experiment toward more reliable production-oriented agentic systems. Topics include tool-using agents, retrieval-based knowledge, multi-step reasoning workflows, application integration, testing, observability, responsible AI, and enterprise deployment considerations. Designed for developers, AI engineers, cloud professionals, solution architects, and technical decision-makers, this book provides a structured foundation for building scalable agentic applications on Azure.

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AI agents are changing the way intelligent applications interact with users, data, tools, and business systems. Azure AI Agents: Build, Deploy, and Scale Production-Ready Agentic Systems with Microsoft Foundry provides a practical technical guide to designing and deploying agentic AI solutions within the Microsoft Azure ecosystem. The book introduces the concepts behind AI agents and explains how agentic systems differ from traditional chatbot and prompt-based applications. Readers will explore agent architecture, instructions, tools, knowledge sources, orchestration, memory, evaluation, security, deployment, and monitoring. The book also examines how Microsoft Foundry can support the development and management of AI applications and agent-based solutions. Through practical architectures and implementation-oriented examples, readers will learn how to move from a simple AI experiment toward more reliable production-oriented agentic systems. Topics include tool-using agents, retrieval-based knowledge, multi-step reasoning workflows, application integration, testing, observability, responsible AI, and enterprise deployment considerations. Designed for developers, AI engineers, cloud professionals, solution architects, and technical decision-makers, this book provides a structured foundation for building scalable agentic applications on Azure.


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