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.

Agentic AI, Security, Governance & Operations

Agentic AI, Security, Governance & Operations
This course is part of Microsoft Azure AI Solutions Architect AZ-305 Professional Certificate

Instructor: Microsoft
Access provided by Universidad del Valle
Recommended experience
What you'll learn
Design AI agents and multi-agent systems with tool integration, MCP connectivity, orchestration, and A2A protocols.
Design network security, identity controls, and prompt injection defenses for enterprise Azure AI deployments.
Design AI governance frameworks with unified access management, audit logging, and responsible AI controls.
Build and deploy production-ready AI solutions with CI/CD pipelines, observability, and end-to-end architecture.
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