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Microsoft Agent Framework in Practice. Build, orchestrate, and scale production-grade AI agents with Python, .NET, MCP tools, and cloud-ready workflows (en Inglés)
Daniel S Scott
Microsoft Agent Framework in Practice. Build, orchestrate, and scale production-grade AI agents with Python, .NET, MCP tools, and cloud-ready workflows (en Inglés)
Daniel S Scott (Autor) · Independently published · Tapa Blanda
Quedan más de 100 unidades
$ 1.446Microsoft Agent Framework in Practice. Build, orchestrate, and scale production-grade AI agents with Python, .NET, MCP tools, and cloud-ready workflows (en Inglés)
Daniel S Scott
What if your AI agent works perfectly in testing... but breaks the moment real users touch it?
You've written prompts. You've connected APIs. You've seen promising results. But when it's time to scale, everything starts to fall apart. Responses become inconsistent. workflows get messy. Debugging turns into guesswork.
You're not alone and you're not missing talent. You're missing structure.
Microsoft Agent Framework in Practice shows you how to move beyond fragile prototypes and build production-grade AI agents that actually hold up under real-world conditions.
This book gives you a clear, hands-on system for designing, orchestrating, and scaling agent workflows using Python, .NET, MCP tools, and cloud-ready architectures. You will learn how to control agent behavior, enforce policies, and build systems that remain stable as complexity grows.
Instead of relying on unpredictable prompts, you'll build structured, observable, and secure agent systems that you can trust in production.
By the end of this book, you will be able to:
Build AI agents that produce structured, reliable decisions instead of inconsistent outputsOrchestrate multi-agent workflows with clear roles and controlled execution pathsIntegrate MCP tools and external APIs without losing control of your systemDesign scalable architectures that handle real traffic, not just demosImplement memory, state management, and workflow checkpointingDebug agent systems with confidence using tracing, logging, and metricsEnforce security, authentication, and governance in sensitive environmentsDeploy and scale agents using containers, serverless runtimes, and cloud platformsThis is not theory. It is a practical, implementation-focused guide built for developers, engineers, and technical leaders who want to build AI systems that work beyond the prototype stage.
If you've ever asked yourself:
Why do my agents behave differently in production?How do I safely connect AI to real-world actions?What does a scalable agent architecture actually look like?You will find clear answers here.
You already know what AI agents can do.
Now build systems that make them dependable.
Get your copy of Microsoft Agent Framework in Practice today and start building AI agents that perform when it matters.
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