From Zero to AI App: Building with Azure AI Foundry

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.

This session is rated level 100 -"Introductory/Overview".

Reference Links

• Azure AI Foundry documentation
• Microsoft Foundry SDK quickstart
• SDK samples on GitHub
• Azure AI Foundry pricing

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