Agentic AI, Security, Governance & Operations

Overview

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Take Azure AI solutions from design through production. This course covers the full lifecycle of enterprise AI deployment: agentic system design, security architecture, governance and responsible AI, deployment pipelines, observability, and end to end architecture synthesis. You’ll evaluate architectural approaches for Foundry based agents and multi agent orchestration with MCP tool integration and human in the loop controls, assess security and identity strategies, including prompt injection defenses, apply governance and responsible AI frameworks, compare deployment and CI/CD approaches, evaluate observability strategies using Foundry Observability and Azure Monitor, and synthesize these concepts in an end to end architecture capstone.

Syllabus

Project Module: Agentic AI, Security, Governance, & Operations Architecture
- Learners produce a portfolio-ready Agentic AI, Security, Governance, and Operations Architecture document for a provided enterprise scenario, integrating agent design, multi-agent orchestration, security architecture, AI governance framework, responsible AI assessment, deployment strategy, and observability stack into a single coherent production architecture that mirrors the deliverable a practicing Azure AI Solutions Architect would produce for an enterprise agentic AI platform engagement.