Introduction to Red Hat OpenShift AI
About this course
Introduction to Red Hat OpenShift AI provides students with the basics of using Red Hat OpenShift AI for their AI/ML workloads. This course helps students build core skills such as describing the Red Hat OpenShift AI architecture, and organizing, executing and testing AI/ML code through hands-on experience. These skills can be applied in all versions of Red Hat OpenShift AI. Course objectives: Identify the main features of Red Hat OpenShift AI and describe the architecture and components of Red Hat AI. Organize code and configuration by using data science projects, workbenches, and data connections. Use Jupyter notebooks to execute and test code interactively.
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What you'll learn
- Understand the architecture of Red Hat OpenShift AI
- Organize and manage AI/ML code using data science projects
- Execute and test code in Jupyter notebooks
Course objectives
- Identify the main features of Red Hat OpenShift AI
- Describe the architecture and components of Red Hat AI
- Use Jupyter notebooks to execute and test code interactively
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