fix

Author: santiagxf

articles/machine-learning/how-to-deploy-mlflow-models-online-progressive.md

@@ -490,7 +490,7 @@ Let's imagine that there is a new version of the model created by the developmen
     ) 
     ```
 
-### Progressively update the traffic
+## Progressively update the traffic
 
 One we are confident with the new deployment, we can update the traffic to route some of it to the new deployment. Traffic is configured at the endpoint level:
 
@@ -646,4 +646,12 @@ ml_client.online_endpoints.begin_delete(name=endpoint_name)
 
 ```python
 deployment_client.delete_endpoint(endpoint_name)
-```
+```
+
+> [!IMPORTANT]
+> Notice that deleting an endpoint also deletes all the deployments under it.
+
+## Next steps
+
+- [Deploy MLflow models to Batch Endpoints](how-to-mlflow-batch.md)
+- [Using MLflow models for no-code deployment](how-to-log-mlflow-models.md)