Red Hat OpenShift Data Science
Red Hat OpenShift Data Science is a part of the Red Hat OpenShift AI portfolio and provides tools across the AI/ML lifecycle.
Featured OpenShift Data Science learning paths
Learning path
Launch Red Hat OpenShift Data Science
15 minutes | 4 learning resources
In this learning path, we use a pre-existing Jupyter Notebook project to start exploring data science. Project Jupyter offers the interactive JupyterHub and JupyterLab tools, which we'll introduce in this path.
Learning path
How to create a PyTorch model
20 minutes | 3 learning resources
In this learning path, you will set up options for your Jupyter notebook server and select your PyTorch preferences, then explore the dataset you'll use to create your model. Finally, you will learn how to build, train, and run your PyTorch model.
Learning path
How to create a TensorFlow model
20 minutes | 3 learning resources
In this learning path, you will set up options for your Jupyter notebook server, then explore the MNIST dataset to refine your data. Finally, you will learn how to implement frameworks, layers, and nodes to create your TensorFlow model.
Mastering natural language processing (NLP)
How to create a natural language processing (NLP) application using OpenShift Data Science
In this activity, you are an intern for a city transportation department. You have been given the job of processing potential bus repair issues that the drivers have noticed during their shifts. In order to keep the repair issues organized and visible, you need to learn how to categorize them.
Red Hat OpenShift Data Science provides you with the tools and the steps you'll need to make your repairs possible; Red Hat Developer Sandbox gives you free access to a Red Hat OpenShift cluster in order to perform this activity.
