Introduction to OpenShift AI

Learning path | 2 resources | 1 hr | Published on May 21, 2025
Alex Krikos Ramakrishna Yekulla Ian Lawson

Learn how to use Red Hat OpenShift AI to quickly develop, train, and deploy machine learning models. This hands-on guide walks you through setting up a Jupyter notebook environment and running sample code in a JupyterLab Integrated Development Environment (IDE) in the Developer Sandbox.

Try it in our Developer Sandbox

  1. Overview: Introduction to OpenShift AI
  2. Explore OpenShift AI and create a notebook with JupyterLab. Page | 1 hr

Overview: Introduction to OpenShift AI

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Red Hat OpenShift AI is a platform designed for machine learning engineers, AI engineers, data scientists, and developers of AI applications. It offers a fully supported environment that enables rapid development, training, testing, and deployment of machine learning models either on-premise or in the public cloud. OpenShift AI is available as a managed cloud service add-on to OpenShift cloud services or as self-managed software, which can be installed on-premise or in the public cloud on OpenShift.

Prerequisites:

  • Access to the Developer Sandbox (OpenShift AI is a core component of Developer Sandbox).
  • A GitHub account. 

In this learning path, you will:

  • Explore an OpenShift AI dashboard.
  • Create a data science project.
  • Create a workbench.
  • Execute a Jupyter notebook.