Anyscale Academy
Practical skills for training and serving production-ready AI systems.
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Build shared understanding of AI across your organization with a single academy experience.
Structured learning paths, practical examples, and progress tracking designed for real AI adoption.
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
6 courses in this learning path
We now host 25 courses spanning 70 modules and 335 lessons, from foundations to workload playbooks.
This course helps admins deploy Anyscale clouds in custom environments (AWS vs. GCP, VMs vs. Kubernetes, etc.).
Learn the foundations of distributed training of machine learning models with Ray Train.
Learn the end-to-end multi-modal AI pipeline, including how each component fits together and what the project provides. You’ll also gain hands-on experience running and exploring the implementation using Anyscale or the GitHub repository.
Browse all available foundations and workloads courses in one place.
View all coursesAnyscale Academy Lesson Viewer
Learners move through scene-based multimedia content with synchronized audio, concise scripts, and timeline progress.
