[Lesson 19] Add create workspace, compute instance and notebook parts

5-Data-Science-In-Cloud/19-tbd/README.md

@@ -6,6 +6,11 @@ Table of contents:
   - [Pre-Lecture Quiz](#pre-lecture-quiz)
   - [1. Introduction](#1-introduction)
     - [1.1 What is Azure ML SDK?](#11-what-is-azure-ml-sdk)
+    - [1.2 Heart failure prediction project and dataset introduction](#12-heart-failure-prediction-project-and-dataset-introduction)
+  - [2. Training a model with the Azure ML SDK](#2-training-a-model-with-the-azure-ml-sdk)
+    - [2.1 Create an Azure ML workspace](#21-create-an-azure-ml-workspace)
+    - [2.2 Create a compute instance](#22-create-a-compute-instance)
+    - [2.3 Creating Notebooks](#23-creating-notebooks)
   - [🚀 Challenge](#-challenge)
   - [Post-Lecture Quiz](#post-lecture-quiz)
   - [Review & Self Study](#review--self-study)
@@ -35,8 +40,55 @@ In the [previous lesson](../18-tbd/README.md), we saw how to train, deploy and c
 
 ![project-schema](img/project-schema.PNG)
 
+### 1.2 Heart failure prediction project and dataset introduction
+
 Check [here](../18-tbd/README.md) the Heart failure prediction project and dataset introduction.
 
+## 2. Training a model with the Azure ML SDK
+### 2.1 Create an Azure ML workspace
+
+For simplicity, we are going to work on a jupyter notebook. This implies that you already have a Workspace and a compute instance. If you already have a Workspace, you can directly jump to the section 2.3 Notebook creation.
+
+If not, please follow the instructions in the section **2.1 Create an Azure ML workspace** in the [previous lesson](../18-tbd/README.md) to create a workspace.
+
+### 2.2 Create a compute instance
+
+In the [Azure ML workspace](https://ml.azure.com/) that we created earlier, go to the compute menue and you will see the different compute resources available
+
+![compute-instance-1](img/compute-instance-1.PNG)
+
+Let's create a compute instance to provision a jupyter notebook. 
+1. Click on the + New button. 
+2. Give a name to your compute instance.
+3. Choose your options: CPU or GPU, VM size and core number.
+4. Click in the Create button.
+
+Congratulations, you have just created a compute instance! We will use this compute instance to create a Notebook the [Creating Notebooks section](#creating-notebooks)
+
+### 2.3 Creating Notebooks
+Notebook are a really important part of the data science process. They can be used to Conduct Exploratory Data Analysis (EDA), call out to a computer cluster to train a model, call out to an inference cluster to deploy an endpoint. 
+
+To create a Notebook, we need a compute node that is serving out the jupyter notebook instance. Go back to the [Azure ML workspace](https://ml.azure.com/) and click on Compute instances. In the list of compute instances you should see the [compute instance we created earlier](#222-creating-compute-resources). 
+
+1. In the Applications section, click on the Jupyter option. 
+2. Tick the "Yes, I understand" box and click on the Continue button.
+![notebook-1](img/notebook-1.PNG)
+3. This should open a new browser tab with you jupyter notebook instance as follow.
+
+![notebook-2](img/notebook-2.PNG)
+
+Import the class and create a new workspace by using the following code:
+
+```python
+from azureml.core import Workspace
+ws = Workspace.create(name='myworkspace',
+                      subscription_id='<azure-subscription-id>',
+                      resource_group='myresourcegroup',
+                      create_resource_group=True,
+                      location='eastus2'
+                     )
+```
+
 ## 🚀 Challenge
 
 
@@ -50,3 +102,5 @@ Check [here](../18-tbd/README.md) the Heart failure prediction project and datas
 ## Assignment
 
 [Assignment Title](assignment.md)
+
+