AI268: Developing & Deploying AI/ML on OpenShift AI (with Exam)

AI268 is a hands-on Red Hat course designed to help professionals build, deploy, and manage AI/ML applications using Red Hat OpenShift AI — combining data science workflows with enterprise-grade infrastructure.

🧠 What You’ll Learn

This course dives deep into practical AI/ML development within OpenShift AI. You’ll learn how to:

Install and manage OpenShift AI environments

Use Jupyter notebooks for experimentation and data exploration

Train, fine-tune, and deploy both default and custom machine learning models

Serve models securely and efficiently in production

Build, track, and optimize full AI/ML pipelines using experiments and metrics

👩‍💻 Who It’s For

Perfect for:

Data Scientists and Machine Learning Engineers

Developers integrating AI/ML into modern applications

MLOps and DevOps professionals managing end-to-end model lifecycles

🧩 Prerequisites

Before taking AI268, learners should be comfortable with:

Python programming (or have completed the AD141 course)

Basic OpenShift and container concepts (or have completed DO288)

General AI/ML principles and workflows

💡 Why It Matters

AI268 bridges the gap between data science innovation and production-ready deployment.
It helps teams build scalable, secure AI/ML solutions within OpenShift — with full control over infrastructure, resources, and collaboration.

Completing this course and exam demonstrates your ability to deliver enterprise-grade AI/ML applications that are reliable, observable, and ready for real-world use.

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