Red Hat Certified Specialist in OpenShift AI Certification Logo

Red Hat Certified Specialist in OpenShift AI Certification

This certification validates your ability to build, deploy, and manage AI/ML workloads using Red Hat OpenShift AI (powered by OpenShift and Open Data Hub). It demonstrates expertise in MLOps, model training, model serving, and AI pipeline automation. Ideal for data scientists, ML engineers, and AI platform administrators.

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What is Red Hat Certified Specialist in OpenShift AI Certification about?

The Red Hat Certified Specialist in OpenShift AI certification focuses on implementing and managing AI/ML workflows on OpenShift using Red Hat’s AI/ML platform. It covers data science environments, JupyterHub, model training pipelines, Kubeflow components, GPU configuration, model serving, monitoring, and lifecycle management. This certification prepares professionals to operationalize machine learning workloads at scale.


Key Features:

  • Hands-on labs with OpenShift AI / Open Data Hub
  • Real-world MLOps and AI deployment scenarios
  • 24/7 Support
  • Access to recordings, notebooks & study materials
  • Lesson-end quizzes
  • Course-end assessments
  • Practical assignments for model development, training & serving

What are the objectives of Red Hat Certified Specialist in OpenShift AI Certification ?

By the end of this training, you will be able to:

  • Understand OpenShift AI architecture & components
  • Configure data science workbenches (Jupyter, VS Code, etc.)
  • Create and manage ML pipelines using Kubeflow Pipelines
  • Train, tune, and deploy ML models on OpenShift
  • Use GPUs and accelerators for high-performance AI workloads
  • Implement model serving using KFServing or OpenShift Model Serving
  • Manage data access, storage & pipeline security
  • Monitor ML workloads using metrics, logging & tracing
  • Apply MLOps best practices for CI/CD of ML models
  • Troubleshoot AI applications in distributed environments

Who is Red Hat Certified Specialist in OpenShift AI Certification for?

  • Machine Learning Engineers
  • Data Scientists
  • MLOps Engineers
  • Cloud-Native AI Developers
  • Platform Engineers managing AI workloads
  • Anyone deploying or operationalizing ML models on OpenShift

What are the prerequisites for Red Hat Certified Specialist in OpenShift AI Certification?

  • Basic understanding of AI/ML concepts
  • Familiarity with containers, Kubernetes & OpenShift fundamentals
  • Experience with Python and Jupyter notebooks recommended
  • Recommended: RHCSA or developer-level Linux knowledge
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Red Hat Certified Specialist in OpenShift AI Certification - Certification & Exam

The best way to learn is to do

In preparation to earn the Red Hat Certified Specialist in OpenShift AI Red Hat recommends the following courses:


  • Red Hat OpenShift AI Administration (AI263)
  • Creating Machine Learning Models with Red Hat OpenShift AI (AI264)
  • Deploying Machine Learning Models with Red Hat OpenShift AI (AI265)
  • Automating AI/ML workflows with Red Hat OpenShift AI (AI266)