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Artículo: AMZ-B0G3QFP4JT
The Modern Microsoft Agent Development Framework: Building Autonomous AI Systems with Semantic Kernel, AutoGen, and Azure OpenAI
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Kindle
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0.84 kg
0.84 kg
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Producto de
Amazon
Amazon
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USA
USA
Sobre este producto
- The era of passive AI is over. We have moved past asking language models to summarize emails or write poetry. We are now entering the age of Agentic AI—building autonomous systems that can reason, plan, use enterprise tools, execute complex workflows, and collaborate to solve actual business problems.But the gap between a viral AI demo in a Jupyter notebook and a secure, scalable solution running in a corporate environment is a canyon.How do you prevent an autonomous SQL agent from accidentally dropping a production table? How do you enable a Python-based data scientist agent to collaborate securely with a C#-based supply chain agent? How do you govern a swarm of AI workers that operate while you sleep?The Modern Microsoft Agent Development Framework is the definitive engineering guide to bridging that canyon.Written for senior software engineers, architects, and technical leads, this book abandons the hype to provide a rigorous, architectural blueprint for the new Microsoft AI stack. It weaves together the power of Semantic Kernel, the orchestration capabilities of AutoGen, and the enterprise infrastructure of Azure AI Foundry into a cohesive methodology for building real-world autonomous systems.Inside, you will learn how to:Master the Unified Stack: Move beyond fragmented tools. Learn to architect polyglot systems where C# and Python agents collaborate seamlessly using the new Microsoft Agent SDK.Implement the Model Context Protocol (MCP): Standardize how your agents connect to data and tools, breaking down silos between your CRM, ERP, and internal databases.Engineer Enterprise RAG: Go beyond simple vector searches. Build Retrieval-Augmented Generation systems that respect complex security trimming and identity-based access controls (RBAC).Orchestrate Agent Swarms: Design sophisticated multi-agent patterns, from "Supervisor" hierarchies that govern code generation to "Agent-to-Agent (A2A)" networks that negotiate across supply chains.Enforce Governance & Security: Replace fragile prompt engineering with deterministic guardrails, identity management via Entra ID, and hard-sandboxed code execution environments.The tools are ready. The infrastructure is waiting. It is time to stop chatting with AI and start architecting it.
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