Kubeflow Pipelines
Portable, scalable ML pipelines on Kubernetes.
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What is this technology for?
Its role in production environments and why it is taught in our curriculums.
Kubeflow Pipelines builds portable, scalable machine-learning pipelines on Kubernetes — automating data preparation, training and model deployment as reproducible workflows.
What you will learn
The hands-on skills you will gain on this technology in our curriculums.
- Design and run ML pipelines as code
- Orchestrate data preparation and training steps
- Track pipeline runs and artifacts
- Integrate Kubeflow with OpenShift AI and Elyra
Latest News & Ecosystem Updates
Recent innovations, major releases, and key industry milestones in the ecosystem.
Kubeflow Pipelines 2.4: Pure Python MLOps Workflow Definitions
Full artifact lineage, reproducible model training runs, and seamless execution on Tekton and Argo engines.
Enterprise Governance & Reusable Pipeline Component Catalog
Standardized enterprise pipelines for data ingestion, continuous model validation, and deployment.
Featured in the curriculum
Find this technology in the following modules of our Red Hat certified curriculums.
AS300 — AI Platform Engineer
View curriculum →
Red Hat OpenShift AI (RHOAI)
AI267 · Module 7 — AS300
