Microsoft.MachineLearningServices workspaces 2023-04-01-preview
- Latest
- 2024-10-01
- 2024-10-01-preview
- 2024-07-01-preview
- 2024-04-01
- 2024-04-01-preview
- 2024-01-01-preview
- 2023-10-01
- 2023-08-01-preview
- 2023-06-01-preview
- 2023-04-01
- 2023-04-01-preview
- 2023-02-01-preview
- 2022-12-01-preview
- 2022-10-01
- 2022-10-01-preview
- 2022-06-01-preview
- 2022-05-01
- 2022-02-01-preview
- 2022-01-01-preview
- 2021-07-01
- 2021-04-01
- 2021-03-01-preview
- 2021-01-01
- 2020-09-01-preview
- 2020-08-01
- 2020-06-01
- 2020-05-15-preview
- 2020-05-01-preview
- 2020-04-01
- 2020-03-01
- 2020-02-18-preview
- 2020-01-01
- 2019-11-01
- 2019-06-01
- 2019-05-01
- 2018-11-19
- 2018-03-01-preview
Bicep resource definition
The workspaces resource type can be deployed with operations that target:
- Resource groups - See resource group deployment commands
For a list of changed properties in each API version, see change log.
Resource format
To create a Microsoft.MachineLearningServices/workspaces resource, add the following Bicep to your template.
resource symbolicname 'Microsoft.MachineLearningServices/workspaces@2023-04-01-preview' = {
identity: {
type: 'string'
userAssignedIdentities: {
{customized property}: {}
}
}
kind: 'string'
location: 'string'
name: 'string'
properties: {
allowPublicAccessWhenBehindVnet: bool
applicationInsights: 'string'
containerRegistries: [
'string'
]
containerRegistry: 'string'
description: 'string'
discoveryUrl: 'string'
enableDataIsolation: bool
encryption: {
identity: {
userAssignedIdentity: 'string'
}
keyVaultProperties: {
identityClientId: 'string'
keyIdentifier: 'string'
keyVaultArmId: 'string'
}
status: 'string'
}
existingWorkspaces: [
'string'
]
featureStoreSettings: {
computeRuntime: {
sparkRuntimeVersion: 'string'
}
offlineStoreConnectionName: 'string'
onlineStoreConnectionName: 'string'
}
friendlyName: 'string'
hbiWorkspace: bool
hubResourceId: 'string'
imageBuildCompute: 'string'
keyVault: 'string'
keyVaults: [
'string'
]
managedNetwork: {
isolationMode: 'string'
outboundRules: {
{customized property}: {
category: 'string'
status: 'string'
type: 'string'
// For remaining properties, see OutboundRule objects
}
}
status: {
sparkReady: bool
status: 'string'
}
}
primaryUserAssignedIdentity: 'string'
publicNetworkAccess: 'string'
serviceManagedResourcesSettings: {
cosmosDb: {
collectionsThroughput: int
}
}
sharedPrivateLinkResources: [
{
name: 'string'
properties: {
groupId: 'string'
privateLinkResourceId: 'string'
requestMessage: 'string'
status: 'string'
}
}
]
softDeleteRetentionInDays: int
storageAccount: 'string'
storageAccounts: [
'string'
]
systemDatastoresAuthMode: 'string'
v1LegacyMode: bool
}
sku: {
capacity: int
family: 'string'
name: 'string'
size: 'string'
tier: 'string'
}
tags: {
{customized property}: 'string'
}
}
OutboundRule objects
Set the type property to specify the type of object.
For FQDN, use:
{
destination: 'string'
type: 'FQDN'
}
For PrivateEndpoint, use:
{
destination: {
serviceResourceId: 'string'
sparkEnabled: bool
sparkStatus: 'string'
subresourceTarget: 'string'
}
type: 'PrivateEndpoint'
}
For ServiceTag, use:
{
destination: {
portRanges: 'string'
protocol: 'string'
serviceTag: 'string'
}
type: 'ServiceTag'
}
Property values
ComputeRuntimeDto
| Name | Description | Value |
|---|---|---|
| sparkRuntimeVersion | string |
CosmosDbSettings
| Name | Description | Value |
|---|---|---|
| collectionsThroughput | The throughput of the collections in cosmosdb database | int |
EncryptionKeyVaultProperties
| Name | Description | Value |
|---|---|---|
| identityClientId | For future use - The client id of the identity which will be used to access key vault. | string |
| keyIdentifier | Key vault uri to access the encryption key. | string (required) |
| keyVaultArmId | The ArmId of the keyVault where the customer owned encryption key is present. | string (required) |
EncryptionProperty
| Name | Description | Value |
|---|---|---|
| identity | The identity that will be used to access the key vault for encryption at rest. | IdentityForCmk |
| keyVaultProperties | Customer Key vault properties. | EncryptionKeyVaultProperties (required) |
| status | Indicates whether or not the encryption is enabled for the workspace. | 'Disabled' 'Enabled' (required) |
FeatureStoreSettings
| Name | Description | Value |
|---|---|---|
| computeRuntime | ComputeRuntimeDto | |
| offlineStoreConnectionName | string | |
| onlineStoreConnectionName | string |
FqdnOutboundRule
| Name | Description | Value |
|---|---|---|
| destination | string | |
| type | Type of a managed network Outbound Rule of a machine learning workspace. | 'FQDN' (required) |
IdentityForCmk
| Name | Description | Value |
|---|---|---|
| userAssignedIdentity | The ArmId of the user assigned identity that will be used to access the customer managed key vault | string |
ManagedNetworkProvisionStatus
| Name | Description | Value |
|---|---|---|
| sparkReady | bool | |
| status | Status for the managed network of a machine learning workspace. | 'Active' 'Inactive' |
ManagedNetworkSettings
| Name | Description | Value |
|---|---|---|
| isolationMode | Isolation mode for the managed network of a machine learning workspace. | 'AllowInternetOutbound' 'AllowOnlyApprovedOutbound' 'Disabled' |
| outboundRules | Dictionary of <OutboundRule> | ManagedNetworkSettingsOutboundRules |
| status | Status of the Provisioning for the managed network of a machine learning workspace. | ManagedNetworkProvisionStatus |
ManagedNetworkSettingsOutboundRules
| Name | Description | Value |
|---|
ManagedServiceIdentity
| Name | Description | Value |
|---|---|---|
| type | Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed). | 'None' 'SystemAssigned' 'SystemAssigned,UserAssigned' 'UserAssigned' (required) |
| userAssignedIdentities | The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests. | UserAssignedIdentities |
Microsoft.MachineLearningServices/workspaces
| Name | Description | Value |
|---|---|---|
| identity | The identity of the resource. | ManagedServiceIdentity |
| kind | string | |
| location | Specifies the location of the resource. | string |
| name | The resource name | string Constraints: Pattern = ^[a-zA-Z0-9][a-zA-Z0-9_-]{2,32}$ (required) |
| properties | The properties of the machine learning workspace. | WorkspaceProperties |
| sku | The sku of the workspace. | Sku |
| tags | Resource tags | Dictionary of tag names and values. See Tags in templates |
OutboundRule
| Name | Description | Value |
|---|---|---|
| category | Category of a managed network Outbound Rule of a machine learning workspace. | 'Recommended' 'Required' 'UserDefined' |
| status | Status of a managed network Outbound Rule of a machine learning workspace. | 'Active' 'Inactive' |
| type | Set to 'FQDN' for type FqdnOutboundRule. Set to 'PrivateEndpoint' for type PrivateEndpointOutboundRule. Set to 'ServiceTag' for type ServiceTagOutboundRule. | 'FQDN' 'PrivateEndpoint' 'ServiceTag' (required) |
PrivateEndpointDestination
| Name | Description | Value |
|---|---|---|
| serviceResourceId | string | |
| sparkEnabled | bool | |
| sparkStatus | Status of a managed network Outbound Rule of a machine learning workspace. | 'Active' 'Inactive' |
| subresourceTarget | string |
PrivateEndpointOutboundRule
| Name | Description | Value |
|---|---|---|
| destination | Private Endpoint destination for a Private Endpoint Outbound Rule for the managed network of a machine learning workspace. | PrivateEndpointDestination |
| type | Type of a managed network Outbound Rule of a machine learning workspace. | 'PrivateEndpoint' (required) |
ServiceManagedResourcesSettings
| Name | Description | Value |
|---|---|---|
| cosmosDb | The settings for the service managed cosmosdb account. | CosmosDbSettings |
ServiceTagDestination
| Name | Description | Value |
|---|---|---|
| portRanges | string | |
| protocol | string | |
| serviceTag | string |
ServiceTagOutboundRule
| Name | Description | Value |
|---|---|---|
| destination | Service Tag destination for a Service Tag Outbound Rule for the managed network of a machine learning workspace. | ServiceTagDestination |
| type | Type of a managed network Outbound Rule of a machine learning workspace. | 'ServiceTag' (required) |
SharedPrivateLinkResource
| Name | Description | Value |
|---|---|---|
| name | Unique name of the private link. | string |
| properties | Resource properties. | SharedPrivateLinkResourceProperty |
SharedPrivateLinkResourceProperty
| Name | Description | Value |
|---|---|---|
| groupId | The private link resource group id. | string |
| privateLinkResourceId | The resource id that private link links to. | string |
| requestMessage | Request message. | string |
| status | Indicates whether the connection has been Approved/Rejected/Removed by the owner of the service. | 'Approved' 'Disconnected' 'Pending' 'Rejected' 'Timeout' |
Sku
| Name | Description | Value |
|---|---|---|
| capacity | If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted. | int |
| family | If the service has different generations of hardware, for the same SKU, then that can be captured here. | string |
| name | The name of the SKU. Ex - P3. It is typically a letter+number code | string (required) |
| size | The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code. | string |
| tier | This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT. | 'Basic' 'Free' 'Premium' 'Standard' |
UserAssignedIdentities
| Name | Description | Value |
|---|
UserAssignedIdentity
| Name | Description | Value |
|---|
WorkspaceProperties
| Name | Description | Value |
|---|---|---|
| allowPublicAccessWhenBehindVnet | The flag to indicate whether to allow public access when behind VNet. | bool |
| applicationInsights | ARM id of the application insights associated with this workspace. | string |
| containerRegistries | A list of container registries used by Hub. | string[] |
| containerRegistry | ARM id of the container registry associated with this workspace. | string |
| description | The description of this workspace. | string |
| discoveryUrl | Url for the discovery service to identify regional endpoints for machine learning experimentation services | string |
| enableDataIsolation | A flag to determine if workspace has data isolation enabled. The flag can only be set at the creation phase, it can't be updated. | bool |
| encryption | The encryption settings of Azure ML workspace. | EncryptionProperty |
| existingWorkspaces | A list of existing workspaces used by Hub to perform convert. | string[] |
| featureStoreSettings | Settings for feature store type workspace. | FeatureStoreSettings |
| friendlyName | The friendly name for this workspace. This name in mutable | string |
| hbiWorkspace | The flag to signal HBI data in the workspace and reduce diagnostic data collected by the service | bool |
| hubResourceId | Resource Id of Hub used for lean workspace. | string |
| imageBuildCompute | The compute name for image build | string |
| keyVault | ARM id of the key vault associated with this workspace. This cannot be changed once the workspace has been created | string |
| keyVaults | A list of key vaults used by Hub. | string[] |
| managedNetwork | Managed Network settings for a machine learning workspace. | ManagedNetworkSettings |
| primaryUserAssignedIdentity | The user assigned identity resource id that represents the workspace identity. | string |
| publicNetworkAccess | Whether requests from Public Network are allowed. | 'Disabled' 'Enabled' |
| serviceManagedResourcesSettings | The service managed resource settings. | ServiceManagedResourcesSettings |
| sharedPrivateLinkResources | The list of shared private link resources in this workspace. | SharedPrivateLinkResource[] |
| softDeleteRetentionInDays | Retention time in days after workspace get soft deleted. | int |
| storageAccount | ARM id of the storage account associated with this workspace. This cannot be changed once the workspace has been created | string |
| storageAccounts | : A list of storage accounts used by Hub. | string[] |
| systemDatastoresAuthMode | The auth mode used for accessing the system datastores of the workspace | string |
| v1LegacyMode | Enabling v1_legacy_mode may prevent you from using features provided by the v2 API. | bool |
WorkspaceTags
| Name | Description | Value |
|---|
Quickstart samples
The following quickstart samples deploy this resource type.
| Bicep File | Description |
|---|---|
| Azure AI Studio basic setup | This set of templates demonstrates how to set up Azure AI Studio with the basic setup, meaning with public internet access enabled, Microsoft-managed keys for encryption and Microsoft-managed identity configuration for the AI resource. |
| Azure AI Studio basic setup | This set of templates demonstrates how to set up Azure AI Studio with the basic setup, meaning with public internet access enabled, Microsoft-managed keys for encryption and Microsoft-managed identity configuration for the AI resource. |
| Azure AI Studio basic setup | This set of templates demonstrates how to set up Azure AI Studio with the basic setup, meaning with public internet access enabled, Microsoft-managed keys for encryption and Microsoft-managed identity configuration for the AI resource. |
| Azure AI Studio Network Restricted | This set of templates demonstrates how to set up Azure AI Studio with private link and egress disabled, using Microsoft-managed keys for encryption and Microsoft-managed identity configuration for the AI resource. |
| Azure AI Studio Network Restricted | This set of templates demonstrates how to set up Azure AI Studio with private link and egress disabled, using Microsoft-managed keys for encryption and Microsoft-managed identity configuration for the AI resource. |
| Azure AI Studio with Microsoft Entra ID Authentication | This set of templates demonstrates how to set up Azure AI Studio with Microsoft Entra ID authentication for dependent resources, such as Azure AI Services and Azure Storage. |
| Azure Machine Learning end-to-end secure setup | 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. |
| Azure Machine Learning end-to-end secure setup (legacy) | 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. |
| Create an AKS compute target with a Private IP address | This template creates an AKS compute target in given Azure Machine Learning service workspace with a private IP address. |
| Create an Azure Machine Learning service workspace | This deployment template specifies an Azure Machine Learning workspace, and its associated resources including Azure Key Vault, Azure Storage, Azure Application Insights and Azure Container Registry. This configuration describes the minimal set of resources you require to get started with Azure Machine Learning. |
| Create an Azure Machine Learning service workspace (CMK) | This deployment template specifies how to create an Azure Machine Learning workspace with service-side encryption using your encryption keys. |
| Create an Azure Machine Learning service workspace (CMK) | This deployment template specifies an Azure Machine Learning workspace, and its associated resources including Azure Key Vault, Azure Storage, Azure Application Insights and Azure Container Registry. The example shows how to configure Azure Machine Learning for encryption with a customer-managed encryption key. |
| Create an Azure Machine Learning service workspace (legacy) | This deployment template specifies an Azure Machine Learning workspace, and its associated resources including Azure Key Vault, Azure Storage, Azure Application Insights and Azure Container Registry. This configuration describes the set of resources you require to get started with Azure Machine Learning in a network isolated set up. |
| Create an Azure Machine Learning service workspace (vnet) | This deployment template specifies an Azure Machine Learning workspace, and its associated resources including Azure Key Vault, Azure Storage, Azure Application Insights and Azure Container Registry. This configuration describes the set of resources you require to get started with Azure Machine Learning in a network isolated set up. |
| Deploy Secure Azure AI Studio with a managed virtual network | This template creates a secure Azure AI Studio environment with robust network and identity security restrictions. |
ARM template resource definition
The workspaces resource type can be deployed with operations that target:
- Resource groups - See resource group deployment commands
For a list of changed properties in each API version, see change log.
Resource format
To create a Microsoft.MachineLearningServices/workspaces resource, add the following JSON to your template.
{
"type": "Microsoft.MachineLearningServices/workspaces",
"apiVersion": "2023-04-01-preview",
"name": "string",
"identity": {
"type": "string",
"userAssignedIdentities": {
"{customized property}": {
}
}
},
"kind": "string",
"location": "string",
"properties": {
"allowPublicAccessWhenBehindVnet": "bool",
"applicationInsights": "string",
"containerRegistries": [ "string" ],
"containerRegistry": "string",
"description": "string",
"discoveryUrl": "string",
"enableDataIsolation": "bool",
"encryption": {
"identity": {
"userAssignedIdentity": "string"
},
"keyVaultProperties": {
"identityClientId": "string",
"keyIdentifier": "string",
"keyVaultArmId": "string"
},
"status": "string"
},
"existingWorkspaces": [ "string" ],
"featureStoreSettings": {
"computeRuntime": {
"sparkRuntimeVersion": "string"
},
"offlineStoreConnectionName": "string",
"onlineStoreConnectionName": "string"
},
"friendlyName": "string",
"hbiWorkspace": "bool",
"hubResourceId": "string",
"imageBuildCompute": "string",
"keyVault": "string",
"keyVaults": [ "string" ],
"managedNetwork": {
"isolationMode": "string",
"outboundRules": {
"{customized property}": {
"category": "string",
"status": "string",
"type": "string"
// For remaining properties, see OutboundRule objects
}
},
"status": {
"sparkReady": "bool",
"status": "string"
}
},
"primaryUserAssignedIdentity": "string",
"publicNetworkAccess": "string",
"serviceManagedResourcesSettings": {
"cosmosDb": {
"collectionsThroughput": "int"
}
},
"sharedPrivateLinkResources": [
{
"name": "string",
"properties": {
"groupId": "string",
"privateLinkResourceId": "string",
"requestMessage": "string",
"status": "string"
}
}
],
"softDeleteRetentionInDays": "int",
"storageAccount": "string",
"storageAccounts": [ "string" ],
"systemDatastoresAuthMode": "string",
"v1LegacyMode": "bool"
},
"sku": {
"capacity": "int",
"family": "string",
"name": "string",
"size": "string",
"tier": "string"
},
"tags": {
"{customized property}": "string"
}
}
OutboundRule objects
Set the type property to specify the type of object.
For FQDN, use:
{
"destination": "string",
"type": "FQDN"
}
For PrivateEndpoint, use:
{
"destination": {
"serviceResourceId": "string",
"sparkEnabled": "bool",
"sparkStatus": "string",
"subresourceTarget": "string"
},
"type": "PrivateEndpoint"
}
For ServiceTag, use:
{
"destination": {
"portRanges": "string",
"protocol": "string",
"serviceTag": "string"
},
"type": "ServiceTag"
}
Property values
ComputeRuntimeDto
| Name | Description | Value |
|---|---|---|
| sparkRuntimeVersion | string |
CosmosDbSettings
| Name | Description | Value |
|---|---|---|
| collectionsThroughput | The throughput of the collections in cosmosdb database | int |
EncryptionKeyVaultProperties
| Name | Description | Value |
|---|---|---|
| identityClientId | For future use - The client id of the identity which will be used to access key vault. | string |
| keyIdentifier | Key vault uri to access the encryption key. | string (required) |
| keyVaultArmId | The ArmId of the keyVault where the customer owned encryption key is present. | string (required) |
EncryptionProperty
| Name | Description | Value |
|---|---|---|
| identity | The identity that will be used to access the key vault for encryption at rest. | IdentityForCmk |
| keyVaultProperties | Customer Key vault properties. | EncryptionKeyVaultProperties (required) |
| status | Indicates whether or not the encryption is enabled for the workspace. | 'Disabled' 'Enabled' (required) |
FeatureStoreSettings
| Name | Description | Value |
|---|---|---|
| computeRuntime | ComputeRuntimeDto | |
| offlineStoreConnectionName | string | |
| onlineStoreConnectionName | string |
FqdnOutboundRule
| Name | Description | Value |
|---|---|---|
| destination | string | |
| type | Type of a managed network Outbound Rule of a machine learning workspace. | 'FQDN' (required) |
IdentityForCmk
| Name | Description | Value |
|---|---|---|
| userAssignedIdentity | The ArmId of the user assigned identity that will be used to access the customer managed key vault | string |
ManagedNetworkProvisionStatus
| Name | Description | Value |
|---|---|---|
| sparkReady | bool | |
| status | Status for the managed network of a machine learning workspace. | 'Active' 'Inactive' |
ManagedNetworkSettings
| Name | Description | Value |
|---|---|---|
| isolationMode | Isolation mode for the managed network of a machine learning workspace. | 'AllowInternetOutbound' 'AllowOnlyApprovedOutbound' 'Disabled' |
| outboundRules | Dictionary of <OutboundRule> | ManagedNetworkSettingsOutboundRules |
| status | Status of the Provisioning for the managed network of a machine learning workspace. | ManagedNetworkProvisionStatus |
ManagedNetworkSettingsOutboundRules
| Name | Description | Value |
|---|
ManagedServiceIdentity
| Name | Description | Value |
|---|---|---|
| type | Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed). | 'None' 'SystemAssigned' 'SystemAssigned,UserAssigned' 'UserAssigned' (required) |
| userAssignedIdentities | The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests. | UserAssignedIdentities |
Microsoft.MachineLearningServices/workspaces
| Name | Description | Value |
|---|---|---|
| apiVersion | The api version | '2023-04-01-preview' |
| identity | The identity of the resource. | ManagedServiceIdentity |
| kind | string | |
| location | Specifies the location of the resource. | string |
| name | The resource name | string Constraints: Pattern = ^[a-zA-Z0-9][a-zA-Z0-9_-]{2,32}$ (required) |
| properties | The properties of the machine learning workspace. | WorkspaceProperties |
| sku | The sku of the workspace. | Sku |
| tags | Resource tags | Dictionary of tag names and values. See Tags in templates |
| type | The resource type | 'Microsoft.MachineLearningServices/workspaces' |
OutboundRule
| Name | Description | Value |
|---|---|---|
| category | Category of a managed network Outbound Rule of a machine learning workspace. | 'Recommended' 'Required' 'UserDefined' |
| status | Status of a managed network Outbound Rule of a machine learning workspace. | 'Active' 'Inactive' |
| type | Set to 'FQDN' for type FqdnOutboundRule. Set to 'PrivateEndpoint' for type PrivateEndpointOutboundRule. Set to 'ServiceTag' for type ServiceTagOutboundRule. | 'FQDN' 'PrivateEndpoint' 'ServiceTag' (required) |
PrivateEndpointDestination
| Name | Description | Value |
|---|---|---|
| serviceResourceId | string | |
| sparkEnabled | bool | |
| sparkStatus | Status of a managed network Outbound Rule of a machine learning workspace. | 'Active' 'Inactive' |
| subresourceTarget | string |
PrivateEndpointOutboundRule
| Name | Description | Value |
|---|---|---|
| destination | Private Endpoint destination for a Private Endpoint Outbound Rule for the managed network of a machine learning workspace. | PrivateEndpointDestination |
| type | Type of a managed network Outbound Rule of a machine learning workspace. | 'PrivateEndpoint' (required) |
ServiceManagedResourcesSettings
| Name | Description | Value |
|---|---|---|
| cosmosDb | The settings for the service managed cosmosdb account. | CosmosDbSettings |
ServiceTagDestination
| Name | Description | Value |
|---|---|---|
| portRanges | string | |
| protocol | string | |
| serviceTag | string |
ServiceTagOutboundRule
| Name | Description | Value |
|---|---|---|
| destination | Service Tag destination for a Service Tag Outbound Rule for the managed network of a machine learning workspace. | ServiceTagDestination |
| type | Type of a managed network Outbound Rule of a machine learning workspace. | 'ServiceTag' (required) |
SharedPrivateLinkResource
| Name | Description | Value |
|---|---|---|
| name | Unique name of the private link. | string |
| properties | Resource properties. | SharedPrivateLinkResourceProperty |
SharedPrivateLinkResourceProperty
| Name | Description | Value |
|---|---|---|
| groupId | The private link resource group id. | string |
| privateLinkResourceId | The resource id that private link links to. | string |
| requestMessage | Request message. | string |
| status | Indicates whether the connection has been Approved/Rejected/Removed by the owner of the service. | 'Approved' 'Disconnected' 'Pending' 'Rejected' 'Timeout' |
Sku
| Name | Description | Value |
|---|---|---|
| capacity | If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted. | int |
| family | If the service has different generations of hardware, for the same SKU, then that can be captured here. | string |
| name | The name of the SKU. Ex - P3. It is typically a letter+number code | string (required) |
| size | The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code. | string |
| tier | This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT. | 'Basic' 'Free' 'Premium' 'Standard' |
UserAssignedIdentities
| Name | Description | Value |
|---|
UserAssignedIdentity
| Name | Description | Value |
|---|
WorkspaceProperties
| Name | Description | Value |
|---|---|---|
| allowPublicAccessWhenBehindVnet | The flag to indicate whether to allow public access when behind VNet. | bool |
| applicationInsights | ARM id of the application insights associated with this workspace. | string |
| containerRegistries | A list of container registries used by Hub. | string[] |
| containerRegistry | ARM id of the container registry associated with this workspace. | string |
| description | The description of this workspace. | string |
| discoveryUrl | Url for the discovery service to identify regional endpoints for machine learning experimentation services | string |
| enableDataIsolation | A flag to determine if workspace has data isolation enabled. The flag can only be set at the creation phase, it can't be updated. | bool |
| encryption | The encryption settings of Azure ML workspace. | EncryptionProperty |
| existingWorkspaces | A list of existing workspaces used by Hub to perform convert. | string[] |
| featureStoreSettings | Settings for feature store type workspace. | FeatureStoreSettings |
| friendlyName | The friendly name for this workspace. This name in mutable | string |
| hbiWorkspace | The flag to signal HBI data in the workspace and reduce diagnostic data collected by the service | bool |
| hubResourceId | Resource Id of Hub used for lean workspace. | string |
| imageBuildCompute | The compute name for image build | string |
| keyVault | ARM id of the key vault associated with this workspace. This cannot be changed once the workspace has been created | string |
| keyVaults | A list of key vaults used by Hub. | string[] |
| managedNetwork | Managed Network settings for a machine learning workspace. | ManagedNetworkSettings |
| primaryUserAssignedIdentity | The user assigned identity resource id that represents the workspace identity. | string |
| publicNetworkAccess | Whether requests from Public Network are allowed. | 'Disabled' 'Enabled' |
| serviceManagedResourcesSettings | The service managed resource settings. | ServiceManagedResourcesSettings |
| sharedPrivateLinkResources | The list of shared private link resources in this workspace. | SharedPrivateLinkResource[] |
| softDeleteRetentionInDays | Retention time in days after workspace get soft deleted. | int |
| storageAccount | ARM id of the storage account associated with this workspace. This cannot be changed once the workspace has been created | string |
| storageAccounts | : A list of storage accounts used by Hub. | string[] |
| systemDatastoresAuthMode | The auth mode used for accessing the system datastores of the workspace | string |
| v1LegacyMode | Enabling v1_legacy_mode may prevent you from using features provided by the v2 API. | bool |
WorkspaceTags
| Name | Description | Value |
|---|
Quickstart templates
The following quickstart templates deploy this resource type.
| Template | Description |
|---|---|
Azure AI Studio basic setup |
This set of templates demonstrates how to set up Azure AI Studio with the basic setup, meaning with public internet access enabled, Microsoft-managed keys for encryption and Microsoft-managed identity configuration for the AI resource. |
| Azure AI Studio basic setup |
This set of templates demonstrates how to set up Azure AI Studio with the basic setup, meaning with public internet access enabled, Microsoft-managed keys for encryption and Microsoft-managed identity configuration for the AI resource. |
| Azure AI Studio basic setup |
This set of templates demonstrates how to set up Azure AI Studio with the basic setup, meaning with public internet access enabled, Microsoft-managed keys for encryption and Microsoft-managed identity configuration for the AI resource. |
| Azure AI Studio Network Restricted |
This set of templates demonstrates how to set up Azure AI Studio with private link and egress disabled, using Microsoft-managed keys for encryption and Microsoft-managed identity configuration for the AI resource. |
| Azure AI Studio Network Restricted |
This set of templates demonstrates how to set up Azure AI Studio with private link and egress disabled, using Microsoft-managed keys for encryption and Microsoft-managed identity configuration for the AI resource. |
| Azure AI Studio with Microsoft Entra ID Authentication |
This set of templates demonstrates how to set up Azure AI Studio with Microsoft Entra ID authentication for dependent resources, such as Azure AI Services and Azure Storage. |
| Azure Machine Learning end-to-end secure setup |
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. |
| Azure Machine Learning end-to-end secure setup (legacy) |
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. |
| Azure Machine Learning Workspace |
This template creates a new Azure Machine Learning Workspace, along with an encrypted Storage Account, KeyVault and Applications Insights Logging |
| Create AML workspace with multiple Datasets & Datastores |
This template creates Azure Machine Learning workspace with multiple datasets & datastores. |
| Create an AKS compute target with a Private IP address |
This template creates an AKS compute target in given Azure Machine Learning service workspace with a private IP address. |
| Create an Azure Machine Learning service workspace |
This deployment template specifies an Azure Machine Learning workspace, and its associated resources including Azure Key Vault, Azure Storage, Azure Application Insights and Azure Container Registry. This configuration describes the minimal set of resources you require to get started with Azure Machine Learning. |
| Create an Azure Machine Learning service workspace (CMK) |
This deployment template specifies how to create an Azure Machine Learning workspace with service-side encryption using your encryption keys. |
| Create an Azure Machine Learning service workspace (CMK) |
This deployment template specifies an Azure Machine Learning workspace, and its associated resources including Azure Key Vault, Azure Storage, Azure Application Insights and Azure Container Registry. The example shows how to configure Azure Machine Learning for encryption with a customer-managed encryption key. |
| Create an Azure Machine Learning service workspace (legacy) |
This deployment template specifies an Azure Machine Learning workspace, and its associated resources including Azure Key Vault, Azure Storage, Azure Application Insights and Azure Container Registry. This configuration describes the set of resources you require to get started with Azure Machine Learning in a network isolated set up. |
| Create an Azure Machine Learning service workspace (vnet) |
This deployment template specifies an Azure Machine Learning workspace, and its associated resources including Azure Key Vault, Azure Storage, Azure Application Insights and Azure Container Registry. This configuration describes the set of resources you require to get started with Azure Machine Learning in a network isolated set up. |
| Deploy Secure Azure AI Studio with a managed virtual network |
This template creates a secure Azure AI Studio environment with robust network and identity security restrictions. |
Terraform (AzAPI provider) resource definition
The workspaces resource type can be deployed with operations that target:
- Resource groups
For a list of changed properties in each API version, see change log.
Resource format
To create a Microsoft.MachineLearningServices/workspaces resource, add the following Terraform to your template.
resource "azapi_resource" "symbolicname" {
type = "Microsoft.MachineLearningServices/workspaces@2023-04-01-preview"
name = "string"
identity = {
type = "string"
userAssignedIdentities = {
{customized property} = {
}
}
}
kind = "string"
location = "string"
sku = {
capacity = int
family = "string"
name = "string"
size = "string"
tier = "string"
}
tags = {
{customized property} = "string"
}
body = jsonencode({
properties = {
allowPublicAccessWhenBehindVnet = bool
applicationInsights = "string"
containerRegistries = [
"string"
]
containerRegistry = "string"
description = "string"
discoveryUrl = "string"
enableDataIsolation = bool
encryption = {
identity = {
userAssignedIdentity = "string"
}
keyVaultProperties = {
identityClientId = "string"
keyIdentifier = "string"
keyVaultArmId = "string"
}
status = "string"
}
existingWorkspaces = [
"string"
]
featureStoreSettings = {
computeRuntime = {
sparkRuntimeVersion = "string"
}
offlineStoreConnectionName = "string"
onlineStoreConnectionName = "string"
}
friendlyName = "string"
hbiWorkspace = bool
hubResourceId = "string"
imageBuildCompute = "string"
keyVault = "string"
keyVaults = [
"string"
]
managedNetwork = {
isolationMode = "string"
outboundRules = {
{customized property} = {
category = "string"
status = "string"
type = "string"
// For remaining properties, see OutboundRule objects
}
}
status = {
sparkReady = bool
status = "string"
}
}
primaryUserAssignedIdentity = "string"
publicNetworkAccess = "string"
serviceManagedResourcesSettings = {
cosmosDb = {
collectionsThroughput = int
}
}
sharedPrivateLinkResources = [
{
name = "string"
properties = {
groupId = "string"
privateLinkResourceId = "string"
requestMessage = "string"
status = "string"
}
}
]
softDeleteRetentionInDays = int
storageAccount = "string"
storageAccounts = [
"string"
]
systemDatastoresAuthMode = "string"
v1LegacyMode = bool
}
})
}
OutboundRule objects
Set the type property to specify the type of object.
For FQDN, use:
{
destination = "string"
type = "FQDN"
}
For PrivateEndpoint, use:
{
destination = {
serviceResourceId = "string"
sparkEnabled = bool
sparkStatus = "string"
subresourceTarget = "string"
}
type = "PrivateEndpoint"
}
For ServiceTag, use:
{
destination = {
portRanges = "string"
protocol = "string"
serviceTag = "string"
}
type = "ServiceTag"
}
Property values
ComputeRuntimeDto
| Name | Description | Value |
|---|---|---|
| sparkRuntimeVersion | string |
CosmosDbSettings
| Name | Description | Value |
|---|---|---|
| collectionsThroughput | The throughput of the collections in cosmosdb database | int |
EncryptionKeyVaultProperties
| Name | Description | Value |
|---|---|---|
| identityClientId | For future use - The client id of the identity which will be used to access key vault. | string |
| keyIdentifier | Key vault uri to access the encryption key. | string (required) |
| keyVaultArmId | The ArmId of the keyVault where the customer owned encryption key is present. | string (required) |
EncryptionProperty
| Name | Description | Value |
|---|---|---|
| identity | The identity that will be used to access the key vault for encryption at rest. | IdentityForCmk |
| keyVaultProperties | Customer Key vault properties. | EncryptionKeyVaultProperties (required) |
| status | Indicates whether or not the encryption is enabled for the workspace. | 'Disabled' 'Enabled' (required) |
FeatureStoreSettings
| Name | Description | Value |
|---|---|---|
| computeRuntime | ComputeRuntimeDto | |
| offlineStoreConnectionName | string | |
| onlineStoreConnectionName | string |
FqdnOutboundRule
| Name | Description | Value |
|---|---|---|
| destination | string | |
| type | Type of a managed network Outbound Rule of a machine learning workspace. | 'FQDN' (required) |
IdentityForCmk
| Name | Description | Value |
|---|---|---|
| userAssignedIdentity | The ArmId of the user assigned identity that will be used to access the customer managed key vault | string |
ManagedNetworkProvisionStatus
| Name | Description | Value |
|---|---|---|
| sparkReady | bool | |
| status | Status for the managed network of a machine learning workspace. | 'Active' 'Inactive' |
ManagedNetworkSettings
| Name | Description | Value |
|---|---|---|
| isolationMode | Isolation mode for the managed network of a machine learning workspace. | 'AllowInternetOutbound' 'AllowOnlyApprovedOutbound' 'Disabled' |
| outboundRules | Dictionary of <OutboundRule> | ManagedNetworkSettingsOutboundRules |
| status | Status of the Provisioning for the managed network of a machine learning workspace. | ManagedNetworkProvisionStatus |
ManagedNetworkSettingsOutboundRules
| Name | Description | Value |
|---|
ManagedServiceIdentity
| Name | Description | Value |
|---|---|---|
| type | Type of managed service identity (where both SystemAssigned and UserAssigned types are allowed). | 'None' 'SystemAssigned' 'SystemAssigned,UserAssigned' 'UserAssigned' (required) |
| userAssignedIdentities | The set of user assigned identities associated with the resource. The userAssignedIdentities dictionary keys will be ARM resource ids in the form: '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.ManagedIdentity/userAssignedIdentities/{identityName}. The dictionary values can be empty objects ({}) in requests. | UserAssignedIdentities |
Microsoft.MachineLearningServices/workspaces
| Name | Description | Value |
|---|---|---|
| identity | The identity of the resource. | ManagedServiceIdentity |
| kind | string | |
| location | Specifies the location of the resource. | string |
| name | The resource name | string Constraints: Pattern = ^[a-zA-Z0-9][a-zA-Z0-9_-]{2,32}$ (required) |
| properties | The properties of the machine learning workspace. | WorkspaceProperties |
| sku | The sku of the workspace. | Sku |
| tags | Resource tags | Dictionary of tag names and values. |
| type | The resource type | "Microsoft.MachineLearningServices/workspaces@2023-04-01-preview" |
OutboundRule
| Name | Description | Value |
|---|---|---|
| category | Category of a managed network Outbound Rule of a machine learning workspace. | 'Recommended' 'Required' 'UserDefined' |
| status | Status of a managed network Outbound Rule of a machine learning workspace. | 'Active' 'Inactive' |
| type | Set to 'FQDN' for type FqdnOutboundRule. Set to 'PrivateEndpoint' for type PrivateEndpointOutboundRule. Set to 'ServiceTag' for type ServiceTagOutboundRule. | 'FQDN' 'PrivateEndpoint' 'ServiceTag' (required) |
PrivateEndpointDestination
| Name | Description | Value |
|---|---|---|
| serviceResourceId | string | |
| sparkEnabled | bool | |
| sparkStatus | Status of a managed network Outbound Rule of a machine learning workspace. | 'Active' 'Inactive' |
| subresourceTarget | string |
PrivateEndpointOutboundRule
| Name | Description | Value |
|---|---|---|
| destination | Private Endpoint destination for a Private Endpoint Outbound Rule for the managed network of a machine learning workspace. | PrivateEndpointDestination |
| type | Type of a managed network Outbound Rule of a machine learning workspace. | 'PrivateEndpoint' (required) |
ServiceManagedResourcesSettings
| Name | Description | Value |
|---|---|---|
| cosmosDb | The settings for the service managed cosmosdb account. | CosmosDbSettings |
ServiceTagDestination
| Name | Description | Value |
|---|---|---|
| portRanges | string | |
| protocol | string | |
| serviceTag | string |
ServiceTagOutboundRule
| Name | Description | Value |
|---|---|---|
| destination | Service Tag destination for a Service Tag Outbound Rule for the managed network of a machine learning workspace. | ServiceTagDestination |
| type | Type of a managed network Outbound Rule of a machine learning workspace. | 'ServiceTag' (required) |
SharedPrivateLinkResource
| Name | Description | Value |
|---|---|---|
| name | Unique name of the private link. | string |
| properties | Resource properties. | SharedPrivateLinkResourceProperty |
SharedPrivateLinkResourceProperty
| Name | Description | Value |
|---|---|---|
| groupId | The private link resource group id. | string |
| privateLinkResourceId | The resource id that private link links to. | string |
| requestMessage | Request message. | string |
| status | Indicates whether the connection has been Approved/Rejected/Removed by the owner of the service. | 'Approved' 'Disconnected' 'Pending' 'Rejected' 'Timeout' |
Sku
| Name | Description | Value |
|---|---|---|
| capacity | If the SKU supports scale out/in then the capacity integer should be included. If scale out/in is not possible for the resource this may be omitted. | int |
| family | If the service has different generations of hardware, for the same SKU, then that can be captured here. | string |
| name | The name of the SKU. Ex - P3. It is typically a letter+number code | string (required) |
| size | The SKU size. When the name field is the combination of tier and some other value, this would be the standalone code. | string |
| tier | This field is required to be implemented by the Resource Provider if the service has more than one tier, but is not required on a PUT. | 'Basic' 'Free' 'Premium' 'Standard' |
UserAssignedIdentities
| Name | Description | Value |
|---|
UserAssignedIdentity
| Name | Description | Value |
|---|
WorkspaceProperties
| Name | Description | Value |
|---|---|---|
| allowPublicAccessWhenBehindVnet | The flag to indicate whether to allow public access when behind VNet. | bool |
| applicationInsights | ARM id of the application insights associated with this workspace. | string |
| containerRegistries | A list of container registries used by Hub. | string[] |
| containerRegistry | ARM id of the container registry associated with this workspace. | string |
| description | The description of this workspace. | string |
| discoveryUrl | Url for the discovery service to identify regional endpoints for machine learning experimentation services | string |
| enableDataIsolation | A flag to determine if workspace has data isolation enabled. The flag can only be set at the creation phase, it can't be updated. | bool |
| encryption | The encryption settings of Azure ML workspace. | EncryptionProperty |
| existingWorkspaces | A list of existing workspaces used by Hub to perform convert. | string[] |
| featureStoreSettings | Settings for feature store type workspace. | FeatureStoreSettings |
| friendlyName | The friendly name for this workspace. This name in mutable | string |
| hbiWorkspace | The flag to signal HBI data in the workspace and reduce diagnostic data collected by the service | bool |
| hubResourceId | Resource Id of Hub used for lean workspace. | string |
| imageBuildCompute | The compute name for image build | string |
| keyVault | ARM id of the key vault associated with this workspace. This cannot be changed once the workspace has been created | string |
| keyVaults | A list of key vaults used by Hub. | string[] |
| managedNetwork | Managed Network settings for a machine learning workspace. | ManagedNetworkSettings |
| primaryUserAssignedIdentity | The user assigned identity resource id that represents the workspace identity. | string |
| publicNetworkAccess | Whether requests from Public Network are allowed. | 'Disabled' 'Enabled' |
| serviceManagedResourcesSettings | The service managed resource settings. | ServiceManagedResourcesSettings |
| sharedPrivateLinkResources | The list of shared private link resources in this workspace. | SharedPrivateLinkResource[] |
| softDeleteRetentionInDays | Retention time in days after workspace get soft deleted. | int |
| storageAccount | ARM id of the storage account associated with this workspace. This cannot be changed once the workspace has been created | string |
| storageAccounts | : A list of storage accounts used by Hub. | string[] |
| systemDatastoresAuthMode | The auth mode used for accessing the system datastores of the workspace | string |
| v1LegacyMode | Enabling v1_legacy_mode may prevent you from using features provided by the v2 API. | bool |
WorkspaceTags
| Name | Description | Value |
|---|