Update quickstart-create-resources.md

Author: sdgilley

articles/machine-learning/quickstart-create-resources.md

@@ -139,10 +139,9 @@ Use your compute instance with the following tutorials to train and deploy a mod
 
 |Tutorial  |Description  |
 |---------|---------|
-| [Quickstart: Get to know Azure Machine Learning](tutorial-azure-ml-in-a-day.md)   |  Basic end-to-end train and deploy a model      |
+| [Quickstart: startd with Azure Machine Learning](tutorial-azure-ml-in-a-day.md)   |  Basic end-to-end train and deploy a model      |
 | [Tutorial: Upload, access and explore your data in Azure Machine Learning](tutorial-explore-data.md)     |  Store large data in the cloud and retrieve it from notebooks and scripts |
-| [Model development on a cloud workstation](tutorial-cloud-workstation.md) | Start prototyping and developing machine learning models |
+| [Tutorial: Model development on a cloud workstation](tutorial-cloud-workstation.md) | Start prototyping and developing machine learning models |
 | [Tutorial: Train a model in Azure Machine Learning](tutorial-train-model.md) |    Dive in to the details of training a model     |
-| [Deploy a model as an online endpoint](tutorial-deploy-model.md)  |   Dive in to the details of deploying a model      |
+| [Tutorial: Deploy a model as an online endpoint](tutorial-deploy-model.md)  |   Dive in to the details of deploying a model      |
 | [Tutorial: Create production machine learning pipelines](tutorial-pipeline-python-sdk.md) | Split a complete machine learning task into a multistep workflow. |
-| [Tutorial: Create production machine learning pipelines](tutorial-pipeline-python-sdk.md) | Split a complete machine learning task into a multistep workflow. |