Getting started with Red Hat OpenShift AI
Red Hat OpenShift AI is an artificial intelligence platform that runs on top of Red Hat OpenShift and provides tools across the AI/ML lifecycle.
Featured Red Hat OpenShift AI learning
Introduction to OpenShift AI
Real-time Data Collection and Processing using AI/ML on OpenShift AI
Data Engineering : Extract live Data Collection from images and logs
Building and Evaluating a Fraud Detection Model with TensorFlow and ONNX
Automation ML pipeline with OpenShift AI
Featured Red Hat OpenShift AI learning
How to integrate and use RStudio Server on OpenShift AI
This guide will walk you through the process of setting up RStudio Server on...
TrustyAI Detoxify: Guardrailing LLMs during training
Learn how to prevent large language models (LLMs) from generating toxic...
Empower conversational AI at scale with KServe
Discover the benefits of KServe, a highly scalable machine learning...
Why GPUs are essential for AI and high-performance computing
Learn why graphics processing units (GPUs) have become the foundation of...
How to use OpenShift Data Science for fraud detection
Learn how to use the Red Hat OpenShift Data Science platform and Starburst to...
Learn how to build, train, and run a PyTorch model
Once you have data, how do you start building a PyTorch model? This learning...
Fine-tune large language models using OpenShift Data Science
Walk through the basics of fine-tuning a large language model using Red Hat...
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.
