Summary
Unit 8 of 8 · Module 1: Plan and prepare to develop AI solutions on Azure
Read this lesson
Module 1 in one walk
That's a wrap on Module 1. You've learned the main things to consider before you start an AI project. What AI can add to an app: generative AI and agents, language, speech, vision, and pulling information out of documents. Microsoft Foundry, our studio lot, with its resources, projects, portal, and SDK. Foundry Tools, the ready-made services for predictable, everyday jobs. The developer tools, languages, and SD Ks you'll write code with. And the six principles of responsible AI that guide everything you build.
What's next
Along the way, you got hands-on with Microsoft Foundry, the recommended home for building AI on Azure. To keep up with the latest on building AI apps, Microsoft's Azure AI site is a good place to check now and then. Next up, Module 2: how to choose a model, deploy it, and check that it's any good.
Facts from Microsoft's documentation: What is Microsoft Foundry?; What are Foundry Tools?; Get started with Microsoft Foundry SDKs and endpoints; Responsible AI for Microsoft Foundry (CC BY 4.0), rewritten in Loop's own words and examples. Narration, animation, and quiz by Loop. Microsoft, Azure, and Microsoft Foundry are trademarks of Microsoft. Loop is independent and not affiliated with or endorsed by Microsoft.