Overview

Are you ready to move beyond experimental AI models and build production-ready autonomous agents that scale across enterprise systems? This is the definitive guide for AI engineers, software developers, and data scientists who want to harness the full power of Microsoft Agent Framework with .NET 10. In this volume, you'll discover how to design, implement, and deploy intelligent agents capable of reasoning, collaborating, and automating complex workflows in real-world business environments. Learn how to integrate agents with Azure, Semantic Kernel, AutoGen, and multi-agent orchestration frameworks, while ensuring security, reliability, and observability at enterprise scale. Through step-by-step examples, hands-on projects, and real-world case studies, you will: Build agents that coordinate and adapt to dynamic workflows. Connect AI agents to REST APIs, databases, and cloud services. Implement safety guardrails, memory management, and CI/CD pipelines. Monitor and optimize multi-agent systems for performance, cost, and reliability. By the end of this book, you'll have the skills to develop robust, scalable, and intelligent systems that deliver measurable value to your organization. Whether you're designing automated enterprise workflows, orchestrating multi-agent solutions, or building the next generation of AI-driven services, this volume equips you with everything you need to succeed. Don't just build smarter models-build smarter systems. Turn intelligent automation into a competitive advantage and elevate your enterprise solutions with Microsoft Agent Framework and .NET 10.

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