Getting Connected

In this activity, you will connect to your workshop environment and set up a workbench for the lab exercises.

Login to OpenShift AI

Username: user-abc123

Password: %password%

Once logged in, you’ll be greeted with the OpenShift AI dashboard.

Go to your project

  1. A project in OpenShift AI represents an OpenShift namespace. Use the empty user-abc123-demo project that has been created for you.

Project Overview

Create a workbench

  1. Click Create a workbench on the project Overview page.

    Create Workbench

  2. Enter the following details into the Create workbench form:

    • Name: lab

    • Image Selection: Jupyter | Minimal | CPU | Python

      Leave all other settings as defaults.

  3. Click Create workbench

OpenShift AI creates and starts the workbench. Wait for the status to change to Running.

Open the workbench

  1. Click lab to open JupyterLab.

    Running Workbench

    JupyterLab will launch in the browser in a separate tab.

JupyterLab Overview
Keep these instructions visible while working in JupyterLab by splitting your screen, using the split view function in your browser or switching between browser tabs as you go.

Open a terminal

For the workshop exercises you will use a terminal inside JupyterLab.

  1. In JupyterLab, click File > New > Terminal

  2. Verify Python is available:

    python --version

    You should see Python 3.12.x.

  3. Verify pip and curl are available:

    pip --version && curl --version | head -1

  4. Update the pip config to use the latest version of the packages:

    pip config set global.index-url https://console.redhat.com/api/pypi/public-rhai/rhoai/3.4/cpu-ubi9/simple/

  5. Login from the command line using the credentials provided for the workshop:

    oc login https://api.cluster.example.com:6443 -u user-abc123 -p %password%

You are now ready to begin the workshop modules.

End of activity

Congratulations, you have successfully connected to your environment.