Red Hat & Linux
Developing and Deploying AI/ML Applications on Red Hat OpenShift AI - Red Hat Learning Subscription (AI267LS)
Run the complete machine learning workflow on Red Hat OpenShift AI.
3 daysIntermediate14 modulesAI267LS
About this course
Run the complete machine learning workflow on Red Hat OpenShift AI. You will install the platform and manage users, resources and custom notebook images, organise work in data science projects and Jupyter notebooks, train models in workbenches, serve them to applications, and build, monitor and track data science pipelines with the Kubeflow SDK and Elyra.
Curriculum
14 modules
- 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
- Install Red Hat OpenShift AI and manage Red Hat OpenShift AI components
- Manage Red Hat OpenShift AI users and allocate resources
- Create and import custom notebook images in Red Hat OpenShift AI
- Describe basic machine learning concepts, different types of machine learning, and machine learning workflows
- Train models by using default and custom workbenches
- Use RHOAI to apply best practices in machine learning and data science
- Describe the concepts and components required to export, share and serve trained machine learning models
- Serve trained machine learning models with OpenShift AI
- Define and set up Data Science Pipelines
- Create data science pipelines with the Kubeflow SDK and Elyra
- Configure, monitor, and track pipelines with artifacts, metrics, and experiments
Who it's for
Data scientists, ML engineers and platform administrators with Python, Git and OpenShift experience.
Before you start
- Experience with Git is required Experience in Python development is required, or completion of the Python Programming with Red Hat (AD141) course
- Experience in Red Hat OpenShift is required, or completion of the Red Hat OpenShift Developer II: Building and Deploying Cloud-native Applications (DO288) course
- Basic experience in the AI, data science, and machine learning fields is recommended
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