diff --git a/source/cloud/azure/aks.md b/source/cloud/azure/aks.md
index 3c2d0732..0e9213db 100644
--- a/source/cloud/azure/aks.md
+++ b/source/cloud/azure/aks.md
@@ -23,7 +23,7 @@ $ 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 \
+az aks create -g <resource group> -n rapids \
         --enable-managed-identity \
         --node-count 1 \
         --enable-addons monitoring \
@@ -92,7 +92,7 @@ $ az extension add --name aks-preview
 `````
 
 ```console
-$ az aks nodepool add \
+az aks nodepool add \
     --resource-group <resource group> \
     --cluster-name rapids \
     --name gpunp \
diff --git a/source/cloud/azure/azure-vm-multi.md b/source/cloud/azure/azure-vm-multi.md
index dadb204d..ede0d800 100644
--- a/source/cloud/azure/azure-vm-multi.md
+++ b/source/cloud/azure/azure-vm-multi.md
@@ -9,7 +9,7 @@ The easiest way to setup a multi-node, multi-GPU cluster on Azure is to use [Das
 Dask Cloud Provider can be installed via `conda` or `pip`. The Azure-specific capabilities will need to be installed via the `[azure]` pip extra.
 
 ```shell
-$ pip install dask-cloudprovider[azure]
+$ pip install 'dask-cloudprovider[azure]'
 ```
 
 ### 2. Configure your Azure Resources