Build ML-based service on Azure from scratch

In this short course we will build ML-based service on the Azure cloud: stock forecast prediction. Our main focus will be on MLE side of the things. We won’t discuss the modeling, but assume you have already a great ML model and now want to make it available for many users. We will utilize Docker, FastAPI, Streamlit and, of course, Azure. //(Please ignore the message below that this course can be started from an app. There is no app and the message is a bug from the platform. This course should be done on PC: the most convient way to set-up the app on Azure following the instructions in the course.)//