Chapter 4. Creating a data science project
To start your data science work, create a data science project. Creating a project helps you organize your work in one place. You can also enhance your data science project by adding the following functionality:
- Workbenches
- Storage for your project’s cluster
- Data connections
- Model servers
Prerequisites
- You have logged in to Red Hat OpenShift AI.
-
If you are using specialized OpenShift AI groups, you are part of the user group or admin group (for example,
rhoai-usersorrhoai-admins) in OpenShift.
Procedure
From the OpenShift AI dashboard, click Data Science Projects.
The Data science projects page opens.
Click Create data science project.
The Create a data science project dialog opens.
- Enter a name for your data science project.
- Optional: Edit the resource name for your data science project. The resource name must consist of lowercase alphanumeric characters, -, and must start and end with an alphanumeric character.
- Enter a description for your data science project.
Click Create.
A project details page opens. From this page, you can create workbenches, add cluster storage and data connections, import pipelines, and deploy models.
Verification
- The project that you created is displayed on the Data science projects page.
