Red Hat OpenShift AI learning 

OpenShift AI gives data scientists and developers a powerful AI/ML platform for building AI-enabled applications. Data scientists and developers can collaborate to move from experiment to production in a consistent environment quickly.

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Learning Path

Launch Red Hat OpenShift Data Science

Use a pre-existing Jupyter Notebook project to start exploring data science. Project Jupyter offers the interactive JupyterHub and JupyterLab tools, which w ...
Red Hat OpenShift Data Science
Learning Path

How to access, download, and analyze data for S3 usage

Start your Jupyter notebook server and select preferences for S3 usage. You will also learn how to access and download the data you create as well as analyz ...
Red Hat OpenShift Data Science
Learning Path

How to create a TensorFlow model

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, l ...
Red Hat OpenShift Data Science
Learning Path

How to create a PyTorch model

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 ...
Red Hat OpenShift Data Science
Learning Path

How to set up and reproduce data science experiments

Learn how to set up data science projects. You will also learn how to consistently reproduce or execute Jupyter notebooks in the data science projects and s ...
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Learning Path

How to get started with Intel OpenVINO

Intel OpenVINO is an open source toolkit for optimizing and deploying AI inference. It allows you to perform several optimizations to speed up AI/ML jobs ex ...
Configure a Jupyter notebook to use GPUs for AI/ML modeling
Learning Path

Configure a Jupyter notebook to use GPUs for AI/ML modeling

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Learning Path

Using projects in Red Hat OpenShift Data Science

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Learning Path

Install Red Hat OpenShift Data Science in Red Hat OpenShift ...

Model serving in RHODS
Learning Path

Model serving in RHODS

In this learning path, you will create a model server and deploy a model in your data science project from the Red Hat OpenShift Data Science dashboard.
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Build smarter with Red Hat OpenShift AI

OpenShift AI gives data scientists and developers a powerful AI/ML platform for building AI-enabled applications. Data scientists and developers can collaborate to move from experiment to production in a consistent environment quickly.

OpenShift AI is available as an add-on cloud service to Red Hat OpenShift Service on AWS or Red Hat OpenShift Dedicated or as a self-managed software product. It provides an AI platform with popular open source tooling. Familiar tools and libraries like Jupyter, TensorFlow, and PyTorch along with MLOps components for model serving and data science pipelines are integrated into a flexible UI.