diff --git a/NBSETUP.md b/NBSETUP.md
index 8cebb5f8..4c9fdffa 100644
--- a/NBSETUP.md
+++ b/NBSETUP.md
@@ -4,7 +4,8 @@
 
 To run the notebooks in this repository use one of these methods:
 
-## Use Azure Notebooks - Jupyter based notebooks in the Azure cloud
+## Option 1: Use Azure Notebooks
+Azure Notebooks is a hosted Jupyter-based notebook service in the Azure cloud. Azure Machine Learning Python SDK is already pre-installed in the Azure Notebooks `Python 3.6` kernel.
 
 1. [![Azure Notebooks](https://notebooks.azure.com/launch.png)](https://aka.ms/aml-clone-azure-notebooks)
 [Import sample notebooks ](https://aka.ms/aml-clone-azure-notebooks) into Azure Notebooks
@@ -15,20 +16,36 @@ To run the notebooks in this repository use one of these methods:
 
     ![set kernel to Python 3.6](images/python36.png)
 
-## **Use your own notebook server**
+## **Option 2: Use your own notebook server**
+```sh
+# install just the base SDK
+pip install azureml-sdk
 
-Video walkthrough:
+# install the base SDK and a Jupyter notebook server
+pip install azureml-sdk[notebooks]
+
+# install the data prep component
+pip install azureml-dataprep
+
+# install model explainability component
+pip install azureml-sdk[explain]
+
+# install automated ml components
+pip install azureml-sdk[automl]
+
+# install experimental features (not ready for production use)
+pip install azureml-sdk[contrib]
+
+# clone the sample repoistory
+git clone https://github.com/Azure/MachineLearningNotebooks.git
+```
+
+### Full instructions
+[install the Azure Machine Learning SDK](https://docs.microsoft.com/en-us/azure/machine-learning/service/quickstart-create-workspace-with-python)
+
+Please make sure you start with the [Configuration](configuration.ipynb) notebook to create and connect to a workspace.
+
+
+### Video walkthrough:
 
 [![Get Started video](images/yt_cover.png)](https://youtu.be/VIsXeTuW3FU)
-
-1. Setup a Jupyter Notebook server and [install the Azure Machine Learning SDK](https://docs.microsoft.com/en-us/azure/machine-learning/service/quickstart-create-workspace-with-python)
-1. Clone [this repository](https://aka.ms/aml-notebooks)
-1. You may need to install other packages for specific notebook
-    - For example, to run the Azure Machine Learning Data Prep notebooks, install the extra dataprep SDK:
-    ```bash
-     pip install azureml-dataprep
-    ```
-
-1. Start your notebook server
-1. Follow the instructions in the [Configuration](configuration.ipynb) notebook to create and connect to a workspace
-1. Open one of the sample notebooks