Creating a workbench and selecting a Notebook image

A workbench is an instance of your development and experimentation environment.
Within the workbench you can select a notebook image for your data science work.

Prerequisite

You created a data connection called My Storage as described in Storage Data Connections.

Procedure

Navigate to the project detail page for the data science project that you created in Section 1.
Click the Create workbench button.
Fill out the name and description.

Red Hat provides several supported notebook images.
In the Notebook image section, you can choose one of these images or any custom images that an administrator has set up for you.
The Tensorflow image has the libraries needed for this lab so we will pick that.
Choose the latest Tensorflow image.
Choose Container size Lab Custom Small

There are usually many available sizes. We shortened the list to a single size for this lab
Leave the default environment variables and storage options.
Under Data connections, choose Use existing data connection and select My Storage (the object storage that you configured previously) from the dropdown list.
Click the Create workbench button.

Verification

In the project details page, the status of the workbench changes from Starting to Running.
If you made a mistake, you can stop the workbench and edit it to make changes.