MLOps Practices with Red Hat OpenShift AI (AI500)

MLOps Practices with Red Hat OpenShift AI (AI500) is a five-day immersive class, offering attendees an opportunity to experience and implement a successful MLOps adoption journey. While many AI or data science training programs focus on a particular framework or technology, this course covers how the best Open Source tools fit together in a full MLOps workflow. It blends continuous discovery, continuous training, and continuous delivery in a highly engaging experience simulating real-world machine learning scenarios.

To achieve the learning objectives, participants should include multiple roles from across the organization.

Data scientists, machine learning engineers, platform engineers, architects, and product owners will gain experience working beyond their traditional silos. The daily routine simulates a real-world delivery team, where cross-functional teams learn how collaboration breeds innovation. Armed with shared experiences and best practices, the team can apply what it has learned to help the organization's culture and mission succeed in the pursuit of new projects and improved processes.

The scenario incorporates technical aspects of working with machine learning systems, offering practical insights into how these roles can align their efforts.

You will learn how to continuously deliver value to your customers by accelerating the deployment of new models to market. Our instructors will share experiences and best practices learned from engaging directly with customers during Red Hat services engagements.

This course is based on Red Hat OpenShift AI, Red Hat OpenShift GitOps and Predictive AI

Note : Starting January 1, 2026, this course is only available in classroom-based or closed course modalities.