Creating real-time endpoints through the SDK
One-click deployment through AML studio is really easy, but most organizations will require you to develop your solutions via code. Luckily, creating real-time scoring endpoints for AutoML models via the AzureML Python SDK is almost as easy as creating them through the UI. Furthermore, you'll gain a deeper understanding of how your endpoints work and how to format your JSON testing to pass data into the endpoint as a request.
In this section, you'll begin by entering your Jupyter environment and creating a new notebook. First, you will deploy your Diabetes-AllData-Regression-AutoML model via ACI, test it, and, once you've confirmed that your test is a success, create a new AKS cluster via code and deploy it there. You will conclude this section by testing your AKS deployment and confirm that everything works as expected.
The goal of this section is to further your understanding of real-time scoring endpoints, teach...
