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Microsoft Foundry Mastery Handbook: Designing, Securing, and Scaling Production-Grade Agentic AI Architectures with Azure AI Foundry, Microsoft Agent
Paperback
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ISBN13: 9798242551534
Publisher: Independently Published
Published: Jan 4 2026
Pages: 158
Weight: 0.42
Height: 0.34 Width: 5.50 Depth: 8.50
Language: English
Publisher: Independently Published
Published: Jan 4 2026
Pages: 158
Weight: 0.42
Height: 0.34 Width: 5.50 Depth: 8.50
Language: English
In the rapidly evolving landscape of enterprise AI, agentic systems represent the next frontier-autonomous, reasoning entities that go beyond simple query-response to orchestrate complex workflows, invoke tools securely, and deliver measurable business impact. Yet building these systems at production scale demands far more than clever prompts or prototype demos: it requires rigorous architecture, verifiable execution, and ironclad governance.
Written for experienced AI engineers, developers, and architects already familiar with Python, LLMs, and advanced software practices, this authoritative handbook distills battle-tested patterns from real-world deployments on Microsoft Foundry-the unified platform powering enterprise agentic AI in 2026.
Drawing directly from Azure AI Foundry Agent Service, Microsoft Agent Framework, and Copilot Studio integrations, you'll master: Formal agent lifecycles, state management, and verification strategies that constrain non-determinism while preserving power
Proven architecture patterns-from single-agent pipelines to multi-agent collaboration and graph-oriented orchestration with LangGraph
Concrete system designs: persistent contracts, checkpointing, rollback, and safety policies ready for managed deployment
A complete, runnable Python implementation featuring retrieval, reasoning, verification, and tool nodes-with local FAISS (switchable to cloud stores) and production-grade logging/telemetry
Line-by-line code commentary, alternatives (vector DBs, model configs, verification approaches), and failure mitigation
Comprehensive testing (unit, integration, end-to-end), observability (structured traces, metrics, replay), and evaluation frameworks
Operationalization across serverless, containerized, and Foundry-managed runtimes-with deep coverage of RBAC, tool whitelisting, secret management, PII handling, audit trails, and human-in-the-loop
Three in-depth case studies (customer support automation, SRE orchestration, research pipelines) plus emerging trends like multi-model routing and open standards This is not a beginner tutorial or marketing overview-it's a publication-quality guide grounded in enterprise realities: cost controls, regulatory compliance, observability at scale, and resilient execution. Whether you're deploying on Foundry Agent Service for managed governance or customizing with open-source frameworks, these principles will equip you to build agentic systems that survive production contact and drive transformative outcomes.
Elevate your agentic AI practice from experimental to enterprise-dominant. Master the platform defining the future of autonomous intelligence.
Drawing directly from Azure AI Foundry Agent Service, Microsoft Agent Framework, and Copilot Studio integrations, you'll master: Formal agent lifecycles, state management, and verification strategies that constrain non-determinism while preserving power
Proven architecture patterns-from single-agent pipelines to multi-agent collaboration and graph-oriented orchestration with LangGraph
Concrete system designs: persistent contracts, checkpointing, rollback, and safety policies ready for managed deployment
A complete, runnable Python implementation featuring retrieval, reasoning, verification, and tool nodes-with local FAISS (switchable to cloud stores) and production-grade logging/telemetry
Line-by-line code commentary, alternatives (vector DBs, model configs, verification approaches), and failure mitigation
Comprehensive testing (unit, integration, end-to-end), observability (structured traces, metrics, replay), and evaluation frameworks
Operationalization across serverless, containerized, and Foundry-managed runtimes-with deep coverage of RBAC, tool whitelisting, secret management, PII handling, audit trails, and human-in-the-loop
Three in-depth case studies (customer support automation, SRE orchestration, research pipelines) plus emerging trends like multi-model routing and open standards This is not a beginner tutorial or marketing overview-it's a publication-quality guide grounded in enterprise realities: cost controls, regulatory compliance, observability at scale, and resilient execution. Whether you're deploying on Foundry Agent Service for managed governance or customizing with open-source frameworks, these principles will equip you to build agentic systems that survive production contact and drive transformative outcomes.
Elevate your agentic AI practice from experimental to enterprise-dominant. Master the platform defining the future of autonomous intelligence.
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