Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267)
An introduction to developing and deploying AI/ML applications on Red Hat OpenShift AI.
Developing and Deploying AI/ML Applications on Red Hat OpenShift AI (AI267) provides students with the fundamental knowledge about using Red Hat OpenShift for developing and deploying AI/ML applications. This course helps students build core skills for using Red Hat OpenShift AI to train, develop and deploy machine learning models through hands-on experience.
This course is based on Red Hat OpenShift ® 4.14, and Red Hat OpenShift AI 2.8.
Note: This course is offered as a 3 day in person class, a 4 day virtual class or is self-paced. Durations may vary based on the delivery. For full course details, scheduling, and pricing, select your location then “get started” on the right hand menu.
Course Content Summary
- Introduction to Red Hat OpenShift AI
- Data Science Projects
- Jupyter Notebooks
- Installing Red Hat OpenShift AI
- Managing Users and Resources
- Custom Notebook Images
- Introduction to Machine Learning
- Training Models
- Enhancing Model Training with RHOAI
- Introduction to Model Serving
- Model Serving in Red Hat OpenShift AI
- Introduction to Workflow Automation
- Elyra Pipelines
- KubeFlow Pipelines
3 courses found
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- Delivery Format: Virtual Learning
- Date 16-18 March, 2026 | 11:00 AM to 7:00 PM
- Location: Virtual (Egypt Stan)
- Language: English
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- Delivery Format: Virtual Learning
- Date 16-18 March, 2026 | 12:00 PM to 8:00 PM
- Location: Virtual (Arab Stand)
- Language: English
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- Delivery Format: Virtual Learning
- Date 16-18 March, 2026 | 1:00 PM to 9:00 PM
- Location: Virtual (Arabian St)
- Language: English
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