What exactly is Microsoft Foundry—and where does it fit in the world of Enterprise AI?

Microsoft Foundry (formerly known as Azure AI Foundry) brings together the building blocks needed to develop and operate AI applications—from models and agents to knowledge, evaluation, guardrails, observability and governance.

But this session is not a step-by-step tutorial or a “build an AI chatbot in 30 minutes” demo.

This is about understanding the WHAT before the HOW.

In this LIVE session, we'll build a mental model of Microsoft Foundry and explore how the different pieces fit together—and how Foundry compares with other major AI platforms.

What we'll cover:

What is Microsoft Foundry (Azure AI Foundry)?
Why did Microsoft build Foundry?
Models — choosing and deploying AI models
Agents — models + instructions + tools
Tools & Knowledge — giving AI the ability to act and use your data
Evaluation — how do you know your AI actually got better?
Guardrails — building AI responsibly
Observability — understanding what happened when AI behaves unexpectedly
Governance — identity, RBAC, networking and enterprise controls
Where you actually build and work with Foundry
Microsoft Foundry vs AWS Bedrock vs Google Vertex AI
When you should use Foundry—and when you shouldn't

Who is this for?
This session is especially useful for:
Developers • QA/SDET Engineers • AI Engineers • Tech Leads • Engineering Managers

If you're new to Azure AI or trying to understand how the different pieces of Enterprise AI fit together, this session is for you.

WHAT today. HOW next.

This is Part 1 of the series.

Today we'll understand the map.
In the upcoming sessions, we'll start building—models, agents, knowledge, evaluation and the rest of the Enterprise AI stack.

So if you're planning to work with AI in an enterprise environment, start with the concepts before jumping into the code.

🔔 Set a reminder and join us LIVE.