Developing and Deploying AI/ML Applications on Red Hat OpenShift AI Overview

Last Updated: 29 04 2025

This course provides a wide introduction to develop and manage AI/ML applications using Red Hat OpenShift AI. It is designed to help learners understand how to deploy the machine learning model in the enterprise environment. The course includes important concepts such as handling large datasets, designing machine learning pipelines, training and adaptation models, and deploying them efficiently with Red Hat OpenShift AI platforms.

The course emphasizes practical, hand learning. You will gain experience working with major devices such as Jupiter notebooks, opening pipelines and interactive labs. These laboratories are designed to give you the real-world experience in the manufacture, testing and deployment of AI/ML applications within the OpenShift Ecosystem.

By the end of the course, the learners will be equipped with the skills and confidence to manage advanced AI/ML projects. Whether you are a data scientist, developer, or machine learning engineer, this course provides the knowledge that you need to work effectively with AI on the Red Hat Openshift. With practical applications and focus on enterprise-level equipment, you will specialize to apply AI/ML solutions on the scale that requires this course to move forward in the field of AI/ML development.

Learning Options for You

  • Live Training (Duration : 32 Hours)
  • Per Participant

Fee: On Request

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