Azure AI Foundry is more than a model hosting environment, it is Microsoft’s end-to-end platform for building, deploying, governing, and improving AI solutions across the enterprise. This Level 200 session goes beyond the basic introduction and takes you inside how Foundry is actually used to design production AI systems, from GenAI copilots to agent-based applications and RAG knowledge tools.

We’ll explore how teams structure workspaces, manage models, integrate data securely, evaluate performance, and monitor applications in production. You’ll see how Foundry connects with Azure AI Search, Fabric, OpenAI, and the broader Microsoft security stack and how it helps organizations scale safely while maintaining control.

If you’re a practitioner, product owner, architect, or AI lead, this session will help you move from “understanding the concept” to “designing with the platform.”

Learning Objectives

Participants will learn to:

Understand how Azure AI Foundry is structured at workspace, project, and resource levels

Design AI application workflows using Foundry tools and orchestration

Apply evaluation and testing workflows to GenAI applications

Use model lifecycle management to support iterative development

Integrate Foundry with key Azure services for enterprise AI

Audience: Product owners, architects, AI engineers, IT strategy leaders

Level: 200 — assumes basic familiarity with GenAI and Azure

Focus Areas: platform architecture, governance, dev workflows, enterprise enablement

Format: Applied conceptual walkthrough (not hands-on)

Outcome: Attendees gain a structured understanding of how Foundry enables enterprise-grade AI delivery