AzureML hpo Workbook

source/_includes/check-gpu-pod-works.md

@@ -1,7 +1,7 @@
 Let's create a sample pod that uses some GPU compute to make sure that everything is working as expected.
 
-```console
-$ cat << EOF | kubectl create -f -
+```bash
+cat << EOF | kubectl create -f -
 apiVersion: v1
 kind: Pod
 metadata:

source/cloud/azure/aks.md

@@ -22,8 +22,8 @@ $ az login
 
 Now we can launch a GPU enabled AKS cluster. First launch an AKS cluster.
 
-```console
-$ az aks create -g <resource group> -n rapids \
+```bash
+az aks create -g <resource group> -n rapids \
         --enable-managed-identity \
         --node-count 1 \
         --enable-addons monitoring \
@@ -91,8 +91,8 @@ $ az extension add --name aks-preview
 
 `````
 
-```console
-$ az aks nodepool add \
+```bash
+    az aks nodepool add \
     --resource-group <resource group> \
     --cluster-name rapids \
     --name gpunp \

source/cloud/azure/azureml.md

@@ -32,7 +32,7 @@ The compute instance provides an integrated Jupyter notebook service, JupyterLab
 
 Sign in to [Azure Machine Learning Studio](https://ml.azure.com/) and navigate to your workspace on the left-side menu.
 
-Select **Compute** > **+ New** > choose a [RAPIDS compatible GPU](https://medium.com/dropout-analytics/which-gpus-work-with-rapids-ai-f562ef29c75f) VM size (e.g., `Standard_NC12s_v3`)
+Select **Compute** > **+ New** (Create compute instance) > choose a [RAPIDS compatible GPU](https://medium.com/dropout-analytics/which-gpus-work-with-rapids-ai-f562ef29c75f) VM size (e.g., `Standard_NC12s_v3`)
 
 ![Screenshot of create new notebook with a gpu-instance](../../images/azureml-create-notebook-instance.png)
 

source/examples/rapids-azureml-hpo/notebook.ipynb

@@ -12,7 +12,7 @@
     ]
    },
    "source": [
-    "# Train and Hyperparameter-Tune with RAPIDS"
+    "# Train and Hyperparameter-Tune with RAPIDS on AzureML"
    ]
   },
   {
@@ -97,12 +97,16 @@
     "from azure.ai.ml import MLClient\n",
     "from azure.identity import DefaultAzureCredential\n",
     "\n",
+    "subscription_id = \"FILL IN WITH YOUR AZURE ML CREDENTIALS\"\n",
+    "resource_group_name = \"FILL IN WITH YOUR AZURE ML CREDENTIALS\"\n",
+    "workspace_name = \"FILL IN WITH YOUR AZURE ML CREDENTIALS\"\n",
+    "\n",
     "# Get a handle to the workspace\n",
     "ml_client = MLClient(\n",
     "    credential=DefaultAzureCredential(),\n",
-    "    subscription_id=\"fc4f4a6b-4041-4b1c-8249-854d68edcf62\",\n",
-    "    resource_group_name=\"rapidsai-deployment\",\n",
-    "    workspace_name=\"rapids-aml-cluster\",\n",
+    "    subscription_id=subscription_id,\n",
+    "    resource_group_name=resource_group_name,\n",
+    "    workspace_name=workspace_name,\n",
     ")\n",
     "\n",
     "print(\n",