The AI landscape is exploding - hundreds of models, dozens of SDKs, and a new framework every week. How do you cut through the noise and actually ship something? In this session, we start from scratch and build a fully functional
AI-powered application using Azure AI Foundry. You will see how to browse the Model Catalog, deploy a model in minutes, iterate on prompts in the Playground, and then wire everything into a real app using the Microsoft Foundry SDK. Along
the way, we will add grounding data with Retrieval Augmented Generation (RAG), enable streaming responses for a snappy UX, and light up tracing so you can debug your AI calls the same way you debug HTTP requests today. By the end of the session, you will have a repeatable recipe for going from "I have an idea" to "it's running in production" - with content safety, cost management, and observability baked in from day one.

Target Audience

Developers who are new to Azure AI or Azure AI Foundry and want a practical,
code-first introduction.

Prerequisites for Attendees

- Basic experience with C# or Python
- An Azure subscription (free tier works)
- Familiarity with REST APIs and web development concepts