Developing and Deploying AI/ML applications on Red Hat OpenShift AI – Virtual Training

This course introduces the development and deployment of AI/ML applications using Red Hat OpenShift AI. Participants will gain hands-on experience in building, training, and deploying machine learning models on Red Hat OpenShift AI, learning to manage users, resources, and workflows effectively.

By the end of this course, participants will:

• Understand the Red Hat OpenShift AI architecture
• Install and manage Red Hat OpenShift AI components
• Train, deploy, and serve machine learning models
• Create and manage data science pipelines with Elyra and KubeFlow

• Experience with Git
• Python development experience
• Red Hat OpenShift experience or relevant training (DO288)
• Basic understanding of AI, data science, and machine learning

Target Audience

• Data scientists
• AI/ML developers
• MLOps engineers

• Introduction to Red Hat OpenShift AI
• Data Science Projects and Jupyter Notebooks
• Installing and Managing Red Hat OpenShift AI
• Managing Users and Custom Notebook Images
• Machine Learning Concepts and Model Training
• Enhancing Model Training with Red Hat OpenShift AI (RHOAI)
• Model Serving in Red Hat OpenShift AI
• Data Science Pipelines with Elyra and KubeFlow

Exams
Participants may choose to take the Red Hat Certified Specialist in OpenShift AI Exam (EX267) upon completion which is not included in the course. For the bundle option that includes the exam, please visit here.