Before one can get started with the notebook and the pipeline creation, the following must be set up in advance. We would need a couple of resources:
Navigate to https://portal.azure.com/#home :
Azure ML Workspace- Create your workspace for ML training
The workspace is the top-level resource for Azure Machine Learning, providing a centralized place to work with all the artifacts you create when you use Azure Machine Learning.
Launch Azure machine learning service->create->New workspace.
Give a name of your choice and create a new workspace.
IoT Hub – A service to enable communication to your edge devices. (Explained in the secondary document attachment)
If there is no existing IoT Hub already been set up, please follow these instructions: https://learn.microsoft.com/en-us/azure/iot-hub/iot-hub-create-through-portal.
Create an IoT Hub Device using a X.509 CA certificate: https://learn.microsoft.com/en-us/azure/iot-hub/iot-hub-x509ca-overview
Managed Identity – Create a new user assigned managed identity.
List of required Access
|ACCESS|SERVICE| |IoT Hub Data contributor|IoT Hub| |ML Workspace|Contributor| |Storage Blob Data Contributor|Blob Storage| |AcrPull|Container registry| |Key Vault Secrets User|Key Vault| |Managed Identity|Contributor|