Azure ML workspace

#azure #azureml

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'
            )

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