This set of Bicep templates demonstrates how to set up Azure Machine Learning end-to-end in a secure set up. This reference implementation includes the Workspace, a compute cluster, compute instance and attached private AKS cluster.
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 licence 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 programme or service, and are made available AS IS without warranty of any kind.
Parameters
| Parameter Name | Description |
|---|---|
| prefix | Prefix for all resource names. |
| location | Azure region used for the deployment of all resources. |
| tags | Set of tags to apply to all resources. |
| vnetAddressPrefix | Virtual network address prefix |
| trainingSubnetPrefix | Training subnet address prefix |
| scoringSubnetPrefix | Scoring subnet address prefix |
| azureBastionSubnetPrefix | Bastion subnet address prefix |
| deployJumphost | Deploy a Bastion jumphost to access the network-isolated environment? |
| dsvmJumpboxUsername | Jumphost virtual machine username |
| dsvmJumpboxPassword | Jumphost virtual machine password |
| amlComputePublicIp | Enable public IP for Azure Machine Learning compute nodes |
| amlComputeDefaultVmSize | VM size for the default compute cluster |
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 deploymentInstall and configure Azure PowerShell
New-AzResourceGroupDeployment -ResourceGroupName <resource-group-name> -TemplateUri https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-end-to-end-secure/azuredeploy.json
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 deploymentInstall and Configure the Azure Cross-Platform Command-Line Interface
az group deployment create --resource-group <my-resource-group> --template-uri https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-end-to-end-secure/azuredeploy.json