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Artículo: AMZ-B0GDQG4CD9
MICROSOFT AGENT FRAMEWORK HANDBOOK: AGENTIC AI ARCHITECTURE, MULTI-AGENT SYSTEMS, GOVERNANCE, SECURITY, AND PRODUCTION-SCALE DEPLOYMENT ON AZURE
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Kindle
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0.84 kg
0.84 kg
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Nuevo
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Producto de
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Microsoft Agent Framework Handbook: Agentic AI Architecture, Multi-Agent Systems, Governance, Security, and Production-Scale Deployment on Azure Unlock the full potential of agentic AI in enterprise environments with this authoritative, hands-on guide to building robust, scalable, and governable systems using the Microsoft Agent Framework. As large language models evolve from conversational tools into autonomous decision-makers, organizations face a critical challenge: how to orchestrate complex, multi-step workflows that demand planning, tool integration, verification, and human oversight—while ensuring reliability, security, and compliance at scale. This handbook delivers production-ready answers. Written for experienced developers, AI engineers, and data scientists, Dr. Elena Vasquez draws on real-world deployments to provide a comprehensive blueprint for agentic AI. Through a consistent customer support automation scenario, you'll master: Conceptual foundations and the agent lifecycle, from initialization to verification. Architecture patterns—single-agent pipelines, multi-agent collaboration, and graph-oriented orchestration—with a decision framework for selecting the right approach. System design principles, including state contracts, checkpoints, retries, and safety policies. Complete, runnable implementations in Python, with line-by-line commentary, alternatives (FAISS, Pinecone, Weaviate), and failure-mode analysis. Testing, observability, and evaluation strategies using pytest, OpenTelemetry, and replay mechanisms. Operationalization on Azure—serverless, containerized, and managed deployments—with security measures (tool whitelisting, RBAC, PII handling) and governance best practices. Real-world case studies in customer support, SRE incident response, and scientific research, revealing adaptations, metrics, and lessons learned. Best practices and common pitfalls to avoid costly mistakes in production. Unlike theoretical treatments or framework documentation, this book emphasizes pragmatic engineering: cost optimization, resilient error handling, layered safeguards, and the disciplined balance of autonomy with control. Every code example follows production standards—typed, logged, validated, and configurable—ready for adaptation to your Azure environment. Whether you're automating customer workflows, accelerating research, or hardening operational systems, this handbook equips you to deploy agentic AI that is not only powerful but trustworthy, auditable, and scalable. Transform your AI initiatives from prototypes to enterprise assets. Master the Microsoft Agent Framework today.
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