e1th4nUwU/AzurePractice4-MachineLearningStudioIntroduction

In this repository, you will find how to make your very first program using both the Microsoft Azure Portal as well as Azure Machine Learning Studio.

Creating a our first program with Microsoft Azure Portal and Azure Machine Learning Studio

Requirements

Microsoft Azure Account ( with funds or credits )
Microsoft Azure Suscription
A web browser
Access to internet

Instructions

1. Login to the Azure Portal.

2. Once you're on the portal's home page, you will see something like this:

3. Inside the search bar (located at the top), look for azure machine learning and click on it.

4. Click on Create.

5. First, configure the resource details: select your subscription and add it to a resource group. In my case, I am creating a new resource group.

6. Now you'll need to configure the workspace details, you will need to give a workspace name,select and select a region. In order to use this service you will also need a storage account, a key vault, appligation insights and a container registry (optional); by default, this resources will be created with a similar name to the workspace's name, but you can change it if you want.

7. Click on Review + create.

8. If validation passed, click on Create.

9. Deployment will begin. Please wait a couple of seconds for it to complete.

10. Once deployment is complete, click Go to resource.

11. Go to Azure Machine Learning Studio and login with your Microsoft Account.

12. Look for the workspace you just created and click Go to workspace.

13. On the right left side of the page, you will see a bunch of icons in line. Click on the one with the computer icon to get to the Compute section.

14. Click on New.

15. You will now be creating a VM instance to work on it. Give it a name and choose the lighter configuration possible; we will just be using it for a "Hello World", there's no need to give it a lot of processing power.

16. When you're done configuring it, click on Create.

17. Wait or your VM to create.

18. When you see the state of your VM as running, that means it's ready.

19. On the left bar, clcik on the notebook icon to get to the Notebook section.

20. Click on Create.

21. Click on the '+' button and then Create new file.

22. Inside the white rectangle that appears on the main page, change your notebook's name if you want and then click Create.

23. You will now be inside a Python Notebook. In order to print a "Hello World" inside the console just type:

print("Hello world)

24. Run your code by tapping on the "run code" button on the left side of it.

Extra: you can also edit your code inside VS Code by click on the Edit in VS Code button; this will open the application on your program and, once you install a couple of extensions and login to your Microsoft account, you're ready to go.

Congratulations ! You've just made your first program in Azure Machine Learning Studio !

Don't forget to delete all of your resources! If you don't, it will be very expensive.