Developing and Deploying AI/ML Applications on Red Hat OpenS (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