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The Complete Guide to Microsoft Agent Framework: Build, Test, and Manage AI Agents that Integrate Seamlessly with Azure, M365, and Business APIs
Paperback
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ISBN13: 9798272493262
Publisher: Independently Published
Published: Nov 1 2025
Pages: 226
Weight: 0.88
Height: 0.48 Width: 7.00 Depth: 10.00
Language: English
Publisher: Independently Published
Published: Nov 1 2025
Pages: 226
Weight: 0.88
Height: 0.48 Width: 7.00 Depth: 10.00
Language: English
The Complete Guide to Microsoft Agent Framework: Build, Test, and Manage AI Agents that Integrate Seamlessly with Azure, M365, and Business APIs Building intelligent systems used to mean writing thousands of lines of business logic. Today, the frontier is different: designing autonomous AI agents that reason, act, and collaborate within your organization's digital ecosystem. Yet for most developers, the real challenge isn't creativity, it's figuring out how to make agents secure, observable, and production-ready.
The Complete Guide to Microsoft Agent Framework gives you the playbook to do exactly that. It's a practical, developer-focused guide to building, testing, and managing AI agents that integrate seamlessly with Azure AI Foundry, Microsoft 365, and your enterprise APIs. From the first local build to full-scale deployment, you'll learn how to construct intelligent agents that work reliably in real business environments, not just in demos.
Through clear explanations and complete, working examples in .NET and Python, this book shows how to design agents that can think in context, call tools safely, monitor their own behavior, and adapt over time. Each chapter builds toward a production-grade system, covering architecture, orchestration, evaluation, governance, and cost control using the latest Microsoft technologies including Semantic Kernel, AutoGen, and Azure OpenAI.
You'll learn how to:
If you're a .NET developer, AI engineer, or solution architect ready to go beyond experiments and build trusted, production-ready AI agents, this book gives you the tools, patterns, and confidence to make it happen.
Bring intelligence to where your business already works, and start building agents that think, act, and deliver.
Through clear explanations and complete, working examples in .NET and Python, this book shows how to design agents that can think in context, call tools safely, monitor their own behavior, and adapt over time. Each chapter builds toward a production-grade system, covering architecture, orchestration, evaluation, governance, and cost control using the latest Microsoft technologies including Semantic Kernel, AutoGen, and Azure OpenAI.
You'll learn how to:
- Architect single- and multi-agent systems using Microsoft Agent Framework
- Integrate agents securely with Graph API, SharePoint, Teams, and business-system APIs
- Apply real-time observability, tracing, and telemetry to every conversation and tool call
- Package and deploy agents to Azure AI Foundry Agent Service with full CI/CD automation
- Implement evaluation loops, policy enforcement, and SRE-style operations for quality and compliance
If you're a .NET developer, AI engineer, or solution architect ready to go beyond experiments and build trusted, production-ready AI agents, this book gives you the tools, patterns, and confidence to make it happen.
Bring intelligence to where your business already works, and start building agents that think, act, and deliver.
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