Update broken template urls

Author: deeikele

articles/machine-learning/how-to-create-workspace-template.md

@@ -105,7 +105,7 @@ Once your resource group is successfully created, deploy the template with the f
 az deployment group create \
     --name "exampledeployment" \
     --resource-group "examplegroup" \
-    --template-uri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-advanced/azuredeploy.json" \
+    --template-uri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-workspace-vnet/azuredeploy.json" \
     --parameters workspaceName="exampleworkspace" location="eastus"
 ```
 
@@ -115,7 +115,7 @@ az deployment group create \
 New-AzResourceGroupDeployment `
   -Name "exampledeployment" `
   -ResourceGroupName "examplegroup" `
-  -TemplateUri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-advanced/azuredeploy.json" `
+  -TemplateUri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-workspace-vnet/azuredeploy.json" `
   -workspaceName "exampleworkspace" `
   -location "eastus"
 ```
@@ -133,7 +133,7 @@ By default, all of the resources created as part of the template are new. Howeve
 az deployment group create \
     --name "exampledeployment" \
     --resource-group "examplegroup" \
-    --template-uri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-advanced/azuredeploy.json" \
+    --template-uri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-workspace-vnet/azuredeploy.json" \
     --parameters workspaceName="exampleworkspace" \
       location="eastus" \
       storageAccountOption="existing" \
@@ -146,7 +146,7 @@ az deployment group create \
 New-AzResourceGroupDeployment `
   -Name "exampledeployment" `
   -ResourceGroupName "examplegroup" `
-  -TemplateUri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-advanced/azuredeploy.json" `
+  -TemplateUri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-workspace-vnet/azuredeploy.json" `
   -workspaceName "exampleworkspace" `
   -location "eastus" `
   -storageAccountOption "existing" `
@@ -227,7 +227,7 @@ To enable use of Customer Managed Keys, set the following parameters when deploy
 az deployment group create \
     --name "exampledeployment" \
     --resource-group "examplegroup" \
-    --template-uri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-advanced/azuredeploy.json" \
+    --template-uri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-workspace-vnet/azuredeploy.json" \
     --parameters workspaceName="exampleworkspace" \
       location="eastus" \
       encryption_status="Enabled" \
@@ -241,7 +241,7 @@ az deployment group create \
 New-AzResourceGroupDeployment `
   -Name "exampledeployment" `
   -ResourceGroupName "examplegroup" `
-  -TemplateUri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-advanced/azuredeploy.json" `
+  -TemplateUri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-workspace-vnet/azuredeploy.json" `
   -workspaceName "exampleworkspace" `
   -location "eastus" `
   -encryption_status "Enabled" `
@@ -284,7 +284,7 @@ If your associated resources are not behind a virtual network, you can set the *
 az deployment group create \
     --name "exampledeployment" \
     --resource-group "examplegroup" \
-    --template-uri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-advanced/azuredeploy.json" \
+    --template-uri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-workspace-vnet/azuredeploy.json" \
     --parameters workspaceName="exampleworkspace" \
       location="eastus" \
       privateEndpointType="AutoApproval"
@@ -296,7 +296,7 @@ az deployment group create \
 New-AzResourceGroupDeployment `
   -Name "exampledeployment" `
   -ResourceGroupName "examplegroup" `
-  -TemplateUri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-advanced/azuredeploy.json" `
+  -TemplateUri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-workspace-vnet/azuredeploy.json" `
   -workspaceName "exampleworkspace" `
   -location "eastus" `
   -privateEndpointType "AutoApproval"
@@ -314,7 +314,7 @@ To deploy a resource behind a new virtual network, set the **vnetOption** to **n
 az deployment group create \
     --name "exampledeployment" \
     --resource-group "examplegroup" \
-    --template-uri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-advanced/azuredeploy.json" \
+    --template-uri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-workspace-vnet/azuredeploy.json" \
     --parameters workspaceName="exampleworkspace" \
       location="eastus" \
       vnetOption="new" \
@@ -329,7 +329,7 @@ az deployment group create \
 New-AzResourceGroupDeployment `
   -Name "exampledeployment" `
   -ResourceGroupName "examplegroup" `
-  -TemplateUri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-advanced/azuredeploy.json" `
+  -TemplateUri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-workspace-vnet/azuredeploy.json" `
   -workspaceName "exampleworkspace" `
   -location "eastus" `
   -vnetOption "new" `
@@ -348,7 +348,7 @@ Alternatively, you can deploy multiple or all dependent resources behind a virtu
 az deployment group create \
     --name "exampledeployment" \
     --resource-group "examplegroup" \
-    --template-uri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-advanced/azuredeploy.json" \
+    --template-uri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-workspace-vnet/azuredeploy.json" \
     --parameters workspaceName="exampleworkspace" \
       location="eastus" \
       vnetOption="new" \
@@ -367,7 +367,7 @@ az deployment group create \
 New-AzResourceGroupDeployment `
   -Name "exampledeployment" `
   -ResourceGroupName "examplegroup" `
-  -TemplateUri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-advanced/azuredeploy.json" `
+  -TemplateUri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-workspace-vnet/azuredeploy.json" `
   -workspaceName "exampleworkspace" `
   -location "eastus" `
   -vnetOption "new" `
@@ -393,7 +393,7 @@ New-AzResourceGroupDeployment `
 az deployment group create \
     --name "exampledeployment" \
     --resource-group "examplegroup" \
-    --template-uri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-advanced/azuredeploy.json" \
+    --template-uri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-workspace-vnet/azuredeploy.json" \
     --parameters workspaceName="exampleworkspace" \
       location="eastus" \
       vnetOption="new" \
@@ -407,7 +407,7 @@ az deployment group create \
 New-AzResourceGroupDeployment `
   -Name "exampledeployment" `
   -ResourceGroupName "examplegroup" `
-  -TemplateUri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-advanced/azuredeploy.json" `
+  -TemplateUri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-workspace-vnet/azuredeploy.json" `
   -workspaceName "exampleworkspace" `
   -location "eastus" `
   -vnetOption "new" `
@@ -455,7 +455,7 @@ To deploy a workspace with existing associated resources you have to set the **v
     az deployment group create \
     --name "exampledeployment" \
     --resource-group "examplegroup" \
-    --template-uri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-advanced/azuredeploy.json" \
+    --template-uri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-workspace-vnet/azuredeploy.json" \
     --parameters workspaceName="exampleworkspace" \
       location="eastus" \
       vnetOption="existing" \
@@ -476,7 +476,7 @@ To deploy a workspace with existing associated resources you have to set the **v
     New-AzResourceGroupDeployment `
       -Name "exampledeployment" `
       -ResourceGroupName "examplegroup" `
-      -TemplateUri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-advanced/azuredeploy.json" `
+      -TemplateUri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-workspace-vnet/azuredeploy.json" `
       -workspaceName "exampleworkspace" `
       -location "eastus" `
       -vnetOption "existing" `
@@ -504,7 +504,7 @@ To deploy a workspace with existing associated resources you have to set the **v
 az deployment group create \
     --name "exampledeployment" \
     --resource-group "examplegroup" \
-    --template-uri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-advanced/azuredeploy.json" \
+    --template-uri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-workspace-vnet/azuredeploy.json" \
     --parameters workspaceName="exampleworkspace" \
       location="eastus" \
       vnetOption="existing" \
@@ -521,7 +521,7 @@ az deployment group create \
 New-AzResourceGroupDeployment `
   -Name "exampledeployment" `
   -ResourceGroupName "examplegroup" `
-  -TemplateUri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-advanced/azuredeploy.json" `
+  -TemplateUri "https://raw.githubusercontent.com/Azure/azure-quickstart-templates/master/quickstarts/microsoft.machinelearningservices/machine-learning-workspace-vnet/azuredeploy.json" `
   -workspaceName "exampleworkspace" `
   -location "eastus" `
   -vnetOption "existing" `
@@ -653,4 +653,4 @@ To avoid this problem, we recommend one of the following approaches:
 
 * [Deploy resources with Resource Manager templates and Resource Manager REST API](../azure-resource-manager/templates/deploy-rest.md).
 * [Creating and deploying Azure resource groups through Visual Studio](../azure-resource-manager/templates/create-visual-studio-deployment-project.md).
-* [For other templates related to Azure Machine Learning, see the Azure Quickstart Templates repository](https://github.com/Azure/azure-quickstart-templates)
+* [For other templates related to Azure Machine Learning, see the Azure Quickstart Templates repository](https://github.com/Azure/azure-quickstart-templates)