linking to vnet docs

Blackmist · Blackmist · commit da35c30122f5 · 2019-08-19T16:54:47.000-04:00
diff --git a/articles/machine-learning/service/how-to-deploy-azure-kubernetes-service.md b/articles/machine-learning/service/how-to-deploy-azure-kubernetes-service.md
@@ -55,6 +55,9 @@ When deploying to Azure Kubernetes Service, you deploy to an AKS cluster that is
 
 Creating or attaching an AKS cluster is a one time process for your workspace. You can reuse this cluster for multiple deployments. If you delete the cluster or the resource group that contains it, you must create a new cluster the next time you need to deploy. You can have multiple AKS clusters attached to your workspace.
 
+> [!TIP]
+> If you want to secure your AKS cluster using an Azure Virtual Network, you must create the virtual network first. For more information, see [Secure experimentation and inference with Azure Virtual Network](how-to-enable-virtual-network.md#aksvnet).
+
 If you want to create an AKS cluster for __development__, __validation__, and __testing__ instead of production, you can specify the __cluster purpose__ to __dev test__.
 
 > [!WARNING]
@@ -110,6 +113,8 @@ If you already have AKS cluster in your Azure subscription, and it is version 1.
 
 > [!TIP]
 > The existing AKS cluster can be in a Azure region than your Azure Machine Learning service workspace.
+>
+> If you want to secure your AKS cluster using an Azure Virtual Network, you must create the virtual network first. For more information, see [Secure experimentation and inference with Azure Virtual Network](how-to-enable-virtual-network.md#aksvnet).
 
 > [!WARNING]
 > When attaching an AKS cluster to a workspace, you can define how you will use the cluster by setting the `cluster_purpose` parameter.
@@ -267,6 +272,7 @@ print(token)
 
 ## Next steps
 
+* [Secure experimentation and inference in a virtual network](how-to-enable-virtual-network.md)
 * [How to deploy a model using a custom Docker image](how-to-deploy-custom-docker-image.md)
 * [Deployment troubleshooting](how-to-troubleshoot-deployment.md)
 * [Secure Azure Machine Learning web services with SSL](how-to-secure-web-service.md)
diff --git a/articles/machine-learning/service/how-to-enable-virtual-network.md b/articles/machine-learning/service/how-to-enable-virtual-network.md
@@ -263,6 +263,8 @@ To use a virtual machine or Azure HDInsight cluster in a virtual network with yo
 
 1. Attach the VM or HDInsight cluster to your Azure Machine Learning service workspace. For more information, see [Set up compute targets for model training](how-to-set-up-training-targets.md).
 
+<a id="aksvnet"></a>
+
 ## Use Azure Kubernetes Service (AKS)
 
 To add AKS in a virtual network to your workspace, do the following:
