This beginner-friendly, introductory Ray technical webinar is designed to help you get started with Anyscale and Ray AI Libraries for distributed machine learning workflows. We cover the backstory of Ray, common AI challenges observed across the Ray and Anyscale communities, and provide hands-on introductory notebooks to help you get started with Ray.
By the end of the webinar, you’ll understand key concepts of Anyscale and Ray, including when and how to transition from small-scale solutions to the Ray AI Libraries. You’ll leave with hands-on notebooks and introductory experience using Ray to scale and productionize your AI projects.
Modern day AI challenges and how Anyscale platform addresses them
Ray AI Libraries (Data, Train, Tune, and Serve) for distributed ML workloads
Example end-to-end workflow spanning all stages of the MLOps lifecycle
Ray Technical Webinars are ideal for software engineers and ML practitioners who want to jump start learning about Anyscale and Ray for large-scale ML workloads. It is also useful for Infrastructure Engineers who plan to support Ray use cases in their organizations.
Don't miss this opportunity to gain deep technical insights and practical knowledge from industry experts.