For any model, we train for a specific purpose, we need to deploy it on some cloud or local device to use it for new data, so here we will learn about cloud deployment as API
Create a basic flask micro server using python and perform different operations like request data fetching and different responses including string, json and xml responses.
Render data in flask web application using Jinja2 and perform different operations to render different kind of data from python in HTML templates.
Create deep learning models application using flask as web service and deploy to google cloud run using docker and continuous deployment using Github.
