Advanced template for Azure Machine Learning workspace

Last updated: 6/23/2020

A template that creates Azure Machine Learning workspace with private endpoints and resources behind VNET

This Azure Resource Manager template was created by a member of the community and not by Microsoft. Each Resource Manager template is licensed to you under a license agreement by its owner, not Microsoft. Microsoft is not responsible for Resource Manager templates provided and licensed by community members and does not screen for security, compatibility, or performance. Community Resource Manager templates are not supported under any Microsoft support program or service, and are made available AS IS without warranty of any kind.

Parameters

Parameter Name Description
workspaceName Specifies the name of the Azure Machine Learning workspace.
location Specifies the location for all resources.
sku Specifies the sku, also referred as 'edition' of the Azure Machine Learning workspace.
tagValues Tags for workspace, will also be populated if provisioning new dependent resources.
storageAccountOption Determines whether or not a new storage should be provisioned.
storageAccountName Name of the storage account.
storageAccountType (no description available)
storageAccountBehindVNet Determines whether or not to put the storage account behind VNet
storageAccountResourceGroupName (no description available)
keyVaultOption Determines whether or not a new key vault should be provisioned.
keyVaultName Name of the key vault.
keyVaultBehindVNet Determines whether or not to put the storage account behind VNet
keyVaultResourceGroupName (no description available)
applicationInsightsOption Determines whether or not new ApplicationInsights should be provisioned.
applicationInsightsName Name of ApplicationInsights.
applicationInsightsResourceGroupName (no description available)
containerRegistryOption Determines whether or not a new container registry should be provisioned.
containerRegistryName The container registry bind to the workspace.
containerRegistrySku (no description available)
containerRegistryResourceGroupName (no description available)
containerRegistryBehindVNet Determines whether or not to put container registry behind VNet.
vnetOption Determines whether or not a new VNet should be provisioned.
vnetName Name of the VNet
vnetResourceGroupName (no description available)
addressPrefixes Address prefix of the virtual network
subnetOption Determines whether or not a new subnet should be provisioned.
subnetName Name of the subnet
subnetPrefix Subnet prefix of the virtual network
adbWorkspace Azure Databrick workspace to be linked to the workspace
confidential_data Specifies that the Azure Machine Learning workspace holds highly confidential data.
encryption_status Specifies if the Azure Machine Learning workspace should be encrypted with customer managed key.
cmk_keyvault Specifies the customer managed keyVault arm id.
resource_cmk_uri Specifies if the customer managed keyvault key uri.
privateEndpointType (no description available)

Use the template

PowerShell

New-AzResourceGroup -Name <resource-group-name> -Location <resource-group-location> #use this command when you need to create a new resource group for your deployment
New-AzResourceGroupDeployment -ResourceGroupName <resource-group-name> -TemplateUri https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/201-machine-learning-advanced/azuredeploy.json
Install and configure Azure PowerShell

Command line

az group create --name <resource-group-name> --location <resource-group-location> #use this command when you need to create a new resource group for your deployment
az group deployment create --resource-group <my-resource-group> --template-uri https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/201-machine-learning-advanced/azuredeploy.json
Install and Configure the Azure Cross-Platform Command-Line Interface