Writing

Author: PeterCLu

articles/machine-learning/media/tutorial-designer-automobile-price-deploy/create-inference-pipeline.png

@@ -35,6 +35,8 @@ To deploy your pipeline, you must first convert the training pipeline into a rea
 
 1. Above the pipeline canvas, select **Create inference pipeline** > **Real-time inference pipeline**.
 
+    ![Screenshot showing how to find the create pipeline](./media/tutorial-designer-automobile-price-deploy/create-inference-pipeline.png)
+
     Your pipeline should now look like this: 
 
    ![Screenshot showing the expected configuration of the pipeline after preparing it for deployment](./media/tutorial-designer-automobile-price-deploy/real-time-inference-pipeline.png)

articles/machine-learning/media/tutorial-designer-automobile-price-deploy/real-time-inference-pipeline.png

@@ -301,17 +301,12 @@ For each of the error statistics, smaller is better. A smaller value indicates t
 
 ## Clean up resources
 
+Skip this section if you want to continue on with part 2 of the tutorial, [deploying models](tutorial-designer-automobile-price-deploy.md)].
+
 [!INCLUDE [aml-ui-cleanup](../../includes/aml-ui-cleanup.md)]
 
 ## Next steps
 
-In part one of this tutorial, you completed the following tasks:
-
-* Create a pipeline
-* Prepare the data
-* Train the model
-* Score and evaluate the model
-
 In part two, you'll learn how to deploy your model as a real-time endpoint.
 
 > [!div class="nextstepaction"]