Pre-Created project and pipeline server

In order to give you a feel for what "day 2" experience would be like, we have pre-created a Project for you, and started to populate it with various artifacts.

Go to your project

  • First, in the Red Hat OpenShift AI Dashboard application, navigate to the Data Science Projects menu on the left:

    02 02 ds proj nav

  • Then, open the project called userX.

    02 02 open project

  • Inside the project, by clicking on the different tabs, you should see a few items that already have been pre-created or configured for you:

    02 02 pre created components

  • These components are as follows:

    1. Workbenches: a workbench has already been created - this is the environment that you can experiment and train models in.

    2. Pipelines: a pipeline server server has already been configured so you can import or run data science pipelines right away. At the moment, it is empty, but we will populate it with a pipeline in a next section.

    3. Models: the models panel is empty at the moment.

    4. Cluster storage: this is where you find a persistent storage for your workbench and one for the pipeline we will create later.

    5. Data Connections: it contains all the information needed to connect with an existing S3 storage. We use it to store models and pipeline artifacts.

    6. Permissions: this is where you can manage the permissions for the project.