This is a repo showcasing how to create an Azure Machine Learning Workspace programmatically.
The main file is aml.bicep which would be deployed with parameters. Upstream dependencies like storage accounts are created in modules with a conditional deployment demonstrated for the Container Registry.
You can deploy the bicep using a variety of tools but the Azure CLI is demonstrated in deploy.cli. This file includes how to get the Azure CLI in an Ubuntu environment, connect to your Azure subscription, build an ARM template, create a resource group, and then perform a deployment. The additional items before doing a deployment are intended to support a setting up of an environment if required.