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.

Explore OpenShift AI
Learning Path intro-to-OS-LP-feature-image
Learn how to use Red Hat OpenShift AI to quickly develop, train, and deploy...
Learning Path Extract-live-data-lp-feature-image
Explore the complete machine learning operations (MLOps) pipeline utilizing...
Learning Path TensorFlow-Onnx-LP-featured-image
Learn how to deploy a trained model with Red Hat OpenShift AI and use its...
Learning Path NodeJs-llm-lp-feature-image
Explore how to use large language models (LLMs) with Node.js by observing...
Learning Path Classify-Jupyter-Notebook-lp-feature-image
Jupyter Notebook works with OpenShift AI to interactively classify images. In...
Learning Path RoCE_Multi-nodeAI_OS_featured_image
Learn how to run distributed AI training on Red Hat OpenShift using RoCE with...
Learning Path RHOS_Elasticsearch_RAG_featured_image
Understand how retrieval-augmented generation (RAG) works and how users can...
Learning Path Podman to OS AI_featured_image
Learn how to rapidly prototype AI applications from your local environment...
Learning Path RAG) with Node.js to optimize your AI applications image
We will use Langchain.js to simplify interacting with the model and will use...
Learning Path Node.js applications to OpenShift AI image
This learning exercise will deploy an existing Node.js application based on...
Learning Path automation-pipeline-lp-feature-image
This learning path delves into the end-to-end process of building and...
Learning Path LLM Node.js learning path feature image
Learn how to access a large language model using Node.js and LangChain.js....

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.

Get started with OpenShift AI
Deployment feature image