One of the most common scenarios you find online when searching for Azure AI examples, is how to deploy the service, set up a deployment model, and interact (test?) with it using the Azure AI Foundry Playground. But that’s the easy part… as a developer, you are tasked with integrating it “correctly” into your application stack. And that’s not all that different from using other packages and performing API integrations. However, where the complexity comes in, is everything around those AI Services and using them. How to set up security, how to integrate those APIs, how to manage credentials and so much more.



In this session, learn what it takes to properly architect an end-to-end, enterprise-ready complete Azure AI solution. Starting from Microsoft reference architectures, speaker will guide you through the different building blocks, as well as throwing in several live demos, to get you going in no time, in your own Azure environment.