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

Automation ML pipeline with OpenShift AI

This learning exercise delves into the end-to-end process of building and...
Real-time Data Collection
Learning Path

Real-time Data Collection and Processing using AI/ML on OpenShift AI

In this learning exercise, we'll explore how to set up a robust system for...
Data Engineering
Learning Path

Data Engineering : Extract live Data Collection from images and logs

Explore the complete MLOps pipeline, utilizing OpenShift AI. The MLOps...
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Learning Path

How to get started with large language models and Node.js

Learn how to access a large language model using Node.js and LangChain.js....
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Learning Path

How to create a natural language processing (NLP) application using Red Hat...

In this learning path, created by Evan Shortiss, you are an intern for a city...
RHOD
Learning Path

Using projects in Red Hat OpenShift Data Science

Learn how to create and set up options for your data science project from the...
Configure a Jupyter notebook to use GPUs for AI/ML modeling
Learning Path

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

In this learning path, you will configure a Jupyter notebook to use GPUs for...
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...
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...
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Learning Path

Launch Red Hat OpenShift AI

Use a pre-existing Jupyter Notebook project to start exploring data science....

Red Hat Training and Certification courses

Looking for more? Build the skills needed to train, deploy, and serve models in Red Hat OpenShift AI, and apply best practices in machine learning and data science.

Remote container development

Develop and deploy AI/ML applications

Build the core skills for using Red Hat OpenShift AI to develop and deploy AI/ML applications, so you can train, develop, and deploy machine learning models.

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Remote container development

OpenShift AI Technical Overview (no-cost introductory offer)

Explore the current AI/ML landscape, and how Red Hat OpenShift AI builds on the capabilities of Red Hat OpenShift to provide a single, consistent, enterprise-ready hybrid AI and MLOps platform.

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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.