Microsoft IQ Deep Dive with Python

5.00 PM - 6.00 PM (UTC)

In the first session of our Microsoft IQ Deep Dive with Python series, we’ll kick things off with an introduction to the Microsoft IQ family: Foundry IQ, Work IQ, Fabric IQ, and Web IQ. We’ll then take a deeper look at Foundry IQ (Azure AI Search), exploring how it helps agents and applications work with curated knowledge and organizational context. We'll build a knowledge base and connect it to multiple knowledge sources, including the new IQs, MCP servers, and search indexes built from ingested data. Then we'll perform multi-source agentic retrieval on the knowledge base, which executes queries in parallel and merges the results with state-of-the-art ranking models. Finally, we will build an agent in Python using Microsoft Agent Framework and ground the agent's responses in results from the Foundry IQ knowledge base. All code demos will use Python and will be available in an open-source repository for you to deploy yourself. After the stream, join office hours in the Microsoft Foundry Discord to ask follow-up questions.

5.00 PM - 6.00 PM (UTC)

In the second session of our Microsoft IQ Deep Dive with Python series, we’ll focus on Work IQ and how it brings workplace context into AI-powered experiences. We’ll explore how developers can use Work IQ through APIs, A2A patterns, MCP integration, and tool-based workflows. We’ll look at two practical tool examples, then show how Work IQ can be used from Copilot and from a Microsoft Agent Framework agent. All code demos will use Python and will be available in an open-source repository for you to deploy yourself. After the stream, join office hours in the Microsoft Foundry Discord to ask follow-up questions.

5.00 PM - 6.00 PM (UTC)

In the final session of our Microsoft IQ Deep Dive with Python series, we’ll explore Fabric IQ and how it connects AI experiences to structured business data. We’ll introduce the key concepts behind Fabric IQ, including ontologies and data agents, and show how they help describe, organize, and reason over operational data stored in OneLake. We’ll use the Microsoft Fabric API SDK in Python to connect to Fabric IQ, so that we can programmatically configure ontologies and answer questions about our data. All code demos will use Python and will be available in an open-source repository for you to deploy yourself. After the stream, join office hours in the Microsoft Foundry Discord to ask follow-up questions.