Introduction to OpenShift AI

Learning path | 3 resources | Published on November 15, 2024
Alex Krikos Ramakrishna Yekulla

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 IDE in the OpenShift AI Developer Sandbox.

Try it in our Developer Sandbox

  1. Overview: Introduction to OpenShift AI
  2. Prerequisites and step-by-step guide Page
  3. Additional resources Page

Overview: Introduction to OpenShift AI

Fundamentals of OpenShift AI

Red Hat OpenShift AI is a platform designed for Machine Learning Engineers, AI Engineers, data scientists, and developers of artificial intelligence (AI) applications. It offers a fully supported environment that enables rapid development, training, testing, and deployment of machine learning models either on-premises 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.

In this learning exercise, you will create and configure options for your AI project through the Red Hat OpenShift AI dashboard. To access your Red Hat OpenShift AI environment, you must first obtain access to the OpenShift Sandbox by following this link.