To help more people learn and master Ray, we are excited to announce the launch of our new training offerings, which now includes both instructor-led training and a free eLearning option. These structured public classes and online modules are designed for:
Practitioners who are interested in Ray and want a high level introduction to Ray and the Ray AI libraries
Learners who are bought into the power of Ray and ready to dive deeper into Ray Data, Ray Serve and get introduced to reference architectures
These courses are ideal for AI/ML engineers and platform engineers looking to build distributed AI applications at scale. The topics covered are designed to provide hands-on practical experience and instruction, equipping learners to solve real AI/ML workloads, including data processing, model training, model serving, and batch inference.
Explore all training courses, only on the Anyscale Training Platform →
This course is designed for users new to Ray spanning 42 lessons over 3 hours. It serves as an introductory step in learning Ray, covering fundamentals and providing an overview of its key components. The course includes modules on Ray Data, Ray Train, Ray Tune, Ray Serve, and Ray Core.
The public course runs as a Virtual Instructor Led Training delivering hands-on training focused on scaling AI apps using Ray, the AI Compute Engine, and Anyscale’s Unified AI Platform, covering model training, HPO, data processing, and deployment at scale.
The course takes place over two half day sessions.
Modules in the course include:
Introduction to Ray
Introduction to Anyscale
Overview of Ray AI Libraries
Hands-on training
Key workflows including model training, HPO, data processing, and deployment at scale
Tailored library specific deep dives with code examples (Ray Data, Ray Train, Ray Tune, Ray Serve)
Register for an upcoming training session!
Practitioners looking to take their learning journey a step further are encouraged to sign up for the Ray for Practitioners course. Taking place over 5 days, this course is an in-depth introduction to Ray and Anyscale. This comprehensive hands-on training will equip practitioners to run end-to-end ML workloads with Ray and Anyscale.
Benefits of the Ray for Practitioners Course:
Learn from the experts: Sessions are led by the Anyscale team, creators of Ray, and experts in distributed AI.
Hands-on learning: Work through live notebooks and get practical experience.
Engage with the community: Connect with other developers solving distributed computing challenges.
Exclusive resources: Gain access to follow-up materials, labs, and structured learning paths.
Real Results: Improve your AI capabilities with the same tool that enabled Instacart to scale training to 10-100x more data, Amazon to save 30x on cost, and Canva to train models up to 12X faster.
Upcoming Schedule:
Be sure to sign up early to reserve your spot!
In addition to the above offerings, Anyscale offers Private Training Courses that can be customized for specific teams and organizations. These private sessions:
Are available both in-person and virtually.
Can be tailored to unique use cases and workflows.
Offer expert-led guidance to accelerate team proficiency.
Cover essential Ray modules including Ray Core, Ray Data, Ray Train, Ray Tune, and Ray Serve.
Our five day Ray for Practitioners course can also be delivered as part of these private training engagements, providing teams with focused learning opportunities based on their specific needs.
Sign up today to learn more and request training.
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Take the next step in your AI/ML journey with the Ray for Practitioners course and start building scalable AI applications today!