Azure ML workspace

Azure ML has a top-level component which is the Workspace. The workspace contains all the components of the Azure Machine Learning space.

The workspace is associated with

• Azure subscription
• Azure Key Vault
• Azure Application Insights

It is associated with the following assets

• Datasets
• Experiments
• Pipelines
• Models
• EndPoints

The workspace manages the following

• Datastores
• Compute

The workspace can be used for authoring

• Notebooks
• Automated ML
• Designer

You can implement via code

import azureml.core
print(azureml.core.VERSION)

from azureml.core import Workspace
from azureml.core.authentication import InteractiveLoginAuthentication

sid = <your-subscription-id>
forced_interactive_auth = InteractiveLoginAuthentication(tenant_id=<your-tenant-id>)
ws = Workspace.create(name='azureml_workspace',
            subscription_id= sid, 
            resource_group='rgazureml',
            create_resource_group = True,
            location='centralus'
            )