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
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This course is designed for users new to Ray. It serves as an introductory step in learning Ray, covering fundamentals of the Ray ecosystem and its AI libraries.
Master the basics of distributed computing with this foundations course on Ray Core.
Explore the foundations of processing structured and unstructured data with Ray Data and get an overview of the key concepts and patterns for distributed data processing.
Learn the foundations of distributed training of machine learning models with Ray Train.
This foundation course helps you get started with running your own hyperparameter tuning experiments efficiently using Ray Tune.
Learn to deploy your machine learning models in this foundations course on Ray Serve.
Capstone certificate exam for Introduction to Ray.