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Building AI Agents with Microsoft Agent Framework: Develop, Test, and Deploy Autonomous Agents that Scale Across Cloud and Enterprise Systems
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Publisher: Independently Published
Published: Oct 26 2025
Pages: 294
Weight: 1.13
Height: 0.62 Width: 7.00 Depth: 10.00
Language: English
Building AI Agents with Microsoft Agent Framework: Develop, Test, and Deploy Autonomous Agents that Scale Across Cloud and Enterprise Systems
How do you move from prompting a model to engineering a full autonomous system that acts, learns, and scales across enterprise environments? Building AI Agents with Microsoft Agent Framework gives you the complete, practical blueprint.
Today's AI landscape demands more than one-off model calls, it requires agents that can reason, plan, and collaborate across business workflows while remaining reliable, secure, and observable. Microsoft's Agent Framework provides the backbone for that shift. This book takes you from concept to deployment, showing how to design production-grade AI agents that integrate seamlessly with Azure, Semantic Kernel, AutoGen, and modern enterprise systems.
Through step-by-step examples and hands-on implementation, you'll learn how to build robust agents capable of handling complex tasks, enforcing policies, maintaining memory, and scaling safely across distributed environments. The focus is on real-world engineering, reliability, version control, observability, and cost management, not theoretical abstractions.
You'll learn how to:
Set up a complete development environment for the Microsoft Agent Framework using .NET and Python.
Design and register tools, memory stores, and orchestrator workflows for real-world tasks.
Implement prompt policies, refusal logic, and guardrails to ensure safe and compliant behavior.
Connect agents to REST APIs, databases, and external systems using OpenAPI and MCP integrations.
Deploy and monitor multi-agent workflows in Azure using Functions, Container Apps, and App Service.
Instrument agents with telemetry, trace spans, and cost dashboards for full observability.
Establish CI/CD pipelines, canary releases, and rollback strategies for enterprise reliability.
Each chapter builds toward a production-ready implementation of AgentDesk, a model system for enterprise service automation. By the end, you'll be equipped to design agents that don't just respond, they coordinate, reason, and adapt.
If you're an AI or ML engineer, enterprise software developer, or data scientist ready to take the next step beyond experimentation, this book will show you how to engineer AI that's ready for production scale.
Don't just build smarter models, build smarter systems. Start your copy of Building AI Agents with Microsoft Agent Framework today and turn intelligent automation into your organization's competitive advantage.
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