How to get Python AI & Machine learning suit for production & development on AZURE

This section describes how to launch and connect to Python AI & Machine learning suit for production & development in Azure.

  1. In your browser, log in to the Azure Console at
  2. Search for Marketplace in the search box.


  1. On the marketplace page, search for Python AI & Machine learning Suit ( and select the Python AI & Machine learning Suit ( offering. The following page will display.


  1. Click on Create.
  • Select a Resource group for your virtual machine
  • Select a Region where you want to launch the VM(such as East US)
  • /img/azure/azure_vm1.png
  • Optionally change the number of cores and amount of memory. (This defaults to 2 vCPUs and 8 GB ram.)
  • Select the Authentication type as Password and enter Username and Password for the VM
  • /img/azure/azure_vm2.png
  • Optionally change the OS disk type.
  • /img/azure/azure_vm3.png
  • Optionally change the network name and subnetwork names. Be sure that whichever network you specify has ports 22 (for ssh), 3389 (for RDP) and 80 (for http) exposed.
  • /img/azure/azure_vm_ntwk.png

  • Optionally go to the Management, Advanced and Tags tabs for any advance settings you want for the VM.
  • Click on Review + create and then click on Create when you are done. Python AI & Machine learning Suit will begin deploying.

  1. A summary page displays when the virtual machine is successfully created. Click on the Go to resource link to to go to the resource page.
  2. /img/azure/azure_vm_created.png

  1. On the resource page, click on the "Reset password " option and Update the password for the VM

  2. /img/azure/azure_vm_paswd.png


  1. Now the password for ubuntu user is set, you can connect to the VM's desktop environment from any local windows machine using RDP protocol.

  2. To connect using RDP, first note the public IP address of the VM from VM details page as highlighted below

  3. /img/azure/azure_vm_details.png

  4. Then From you local windows machine, goto "start" menu , in the search box type and select "Remote desktop connection"

  5. In the "Remote Desktop connection" wizard, copy the public IP address and click connect

  6. /img/azure/azure_rdp.png

  7. This will connect you to the VM's desktop environment. Provide the username (e.g "ubuntu") and the password set in the above "Reset password" step to authenticate. Click OK

  8. /img/azure/azure_rdp_login.png

  9. Now you are connected to the out of box Python AI & Machine learning Suit environment.

  10. /img/azure/azure_rdp_desktop.png

  11. You can use the remote desktop you connected in above step for using the VM, however, more convenient and better method is to use the Jupyter/Ipython notebook which comes with the VM .
    The Notebook is available on the same public IP you used for remote desktop and accessible via any browser. Just open the browser and type the public IP address (in this case http:// ) and you will get below screen for login . Use “ubuntu” as username and the password you set to login.
    Note : Make sure you use “http” and not “https” in the url

  12. /img/azure/azure_jupyterhub.png

  13. To know how to use the developer kit, please refer to the video tutorial series available on Python AI and Machine Learning Support.