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EnvironmentSetup.md

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Setting Up Environment

In this lab we will be using Watson Studio and Watson Machine Learning to create and deploy machine learning models. We will need to have an instance of Watson Studio and an instance of Watson Machine Learning, as well as a cloud object storage instance where our artifacts/assets get stored.

Prerequisites

  • An IBM Cloud ID

Instructions

In order to run the labs, you should go through the following steps to set up the Watson Studio environment.

  1. Go to the IBM Cloud console - (https://cloud.ibm.com) and log in (or create an account if you do not have one).

  2. Click on the Catalog link in the top banner of the IBM Cloud dashboard.
    catalog-link

  3. Select the 'Storage' category on the left, under All Categories. Then select the 'Object Storage' service tile. cloud-cos

  4. Leave the default options, using the Lite plan and click the Create button.
    create-cos-instance

  5. Still in the IBM Cloud console page, Click on the Catalog link in the top banner of the IBM Cloud dashboard.

  6. Select the 'AI' category on the left, under All Categories. Then select the 'Machine Learning' service tile. wml

  7. Leave the default options, using the Lite plan and click the Create button.
    create-wml-instance

  8. Still in the IBM Cloud console page, Click on the Catalog link in the top banner of the IBM Cloud dashboard.

  9. Select the AI category on the left, under All Categories.
    ai-filter

  10. Select the Watson Studio service tile.
    ws-tile

  11. Leave the default options and click the Create button.
    create-ws-instance

  12. On the service page. Right click on the Get Started button and select to open in a new tab to open the Watson Studio tooling.
    ws-tooling