Jupyter

Category : AI & MLOps

Interactive notebooks for data science and model development on OpenShift AI.

What is this technology for?

Its role in production environments and why it is taught in our curriculums.

Jupyter notebooks provide interactive, browser-based environments for data science — the daily workspace of data scientists and ML engineers on OpenShift AI workbenches.

What you will learn

The hands-on skills you will gain on this technology in our curriculums.

Deploy Jupyter workbenches on OpenShift AI
Build interactive data science notebooks
Connect notebooks to GPUs and cluster storage
Share and version notebook environments

Latest News & Ecosystem Updates

Recent innovations, major releases, and key industry milestones in the ecosystem.

Data Science 2026-06

JupyterLab 4.3: Real-Time Collaborative Editing & Native AI Copilots

Industry-standard interactive environment featuring smart code completions and distributed Kubernetes compute kernels.

OpenShift Integration 2026-03

On-Demand Ephemeral Jupyter Workbenches in OpenShift AI

Dynamic GPU quota allocation and authenticated access to enterprise S3/MinIO data lakes.

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

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