The Ray Train learning path is a deep dive into distributed model training with Ray Train and gives you a large sample of interesting workloads to explore.

The Ray Data learning path provides a comprehensive guide to distributed data processing and batch inference with Ray Data. You'll learn foundational concepts, practical data processing workflows, and how to scale batch inference pipelines for production workloads.

The Ray 101 learning path is the perfect entry point to get you started with Ray. You'll learn about all of our libraries, from low-level distributed computing with Ray Core to running AI workloads with Ray Data, Train, Tune and Serve