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Now use ml_client to create the connection to your AI Services:
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2. Use `ml_client` to create the connection to your AI Services:
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```python
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from azure.ai.ml.entities import AzureAIServicesConnection
@@ -148,7 +149,7 @@ The <fully_qualified_resource_id> is the resource ID of your AI Services resourc
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You can also create a hub using existing resources such as Azure Storage and Azure Key Vault. In the following examples, replace the example string values with your own values:
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> [!TIP]
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> You can retrieve the resource ID of the storage account and key vault from the Azure Portal by going to the resource's overview and selecting __JSON view__. The resource ID is located in the __id__ field. You can also use the Azure CLI to retrieve the resource ID. For example, `az storage account show --name {my_storage_account_name} --query "id"` and `az keyvault show --name {my_key_vault_name} --query "id"`.
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> You can retrieve the resource ID of the storage account and key vault from the Azure portal by going to the resource's overview and selecting __JSON view__. The resource ID is located in the __id__ field. You can also use the Azure CLI to retrieve the resource ID. For example, `az storage account show --name {my_storage_account_name} --query "id"` and `az keyvault show --name {my_key_vault_name} --query "id"`.
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