How to get Python AI & Machine learning kit for production & development on GCP (Google Cloud Platform)

This section describes how to launch and connect to Python AI & Machine learning kit for production & development in a Google Compute environment using the available Cloud Launcher offering.

  1. In your browser, log in to the Google Compute Engine Console at
  2. In the left navigation panel, select Cloud Launcher. If it is not visible in the left panel, search for Cloud Launcher in the search box.


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


  1. Click Launch on Compute Engine.
  • Select a zone where you want to launch the VM(such as us-east1-)
  • Optionally change the number of cores and amount of memory. (This defaults to 2 vCPUs and 7.5 GB ram.)
  • Optionally change the boot disk type and size. (This defaults to "Standard Persistent Disk" and 32 GB respectively)
  • 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.
  • Click Deploy when you are done. Python AI & Machine learning Suit will begin deploying.


  1. A summary page displays when the compute engine is successfully deployed. Click on the Instance link to to go to the instance page .

  1. On the instance page, click on the "SSH" button, select "Open in browser window".

  2. /img/gcp/gcp_pythonmachinelearning_ssh_option.png

  3. This will open SSH window in a browser.
  4. Run below command to set the password for "ubuntu" user

  5. /img/gcp/gcp_pythonmachinelearning_passwd.png

  6. 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.

  7. To connect using RDP, first note the external IP of the VM from VM details page as highlighted below

  8. /img/gcp/gcp_pythonmachinelearning_vm_details.png

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

  10. In the "Remote Desktop connection" wizard, copy the external ip and click connect

  11. /img/gcp/gcprdp.png

  12. This will connect you to the VM's desktop environment. Provide "ubuntu" as the userid and the password set in step 8 to authenticate. Click OK

  13. /img/gcp/xrdp.png

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

  15. /img/gcp/ripplevm.png

  16. 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 in step 8 to login.
    Note : Make sure you use “http” and not “https” in the url

  17. /img/gcp/gcp_pythonmachinelearning_notebook.png

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