March 2025 Summaries
2 posts from Anyscale
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The Anyscale Training Platform has launched new training offerings for Ray, a popular AI library. The platform now includes both instructor-led training and free eLearning options, catering to practitioners and learners who want to learn about Ray and its applications. The structured public classes and online modules are designed to equip learners with hands-on practical experience in building distributed AI applications at scale. Two new courses have been introduced: a 42-lesson introductory course for users new to Ray and a more comprehensive 5-day course, the "Ray for Practitioners" course, which provides an in-depth introduction to Ray and its key components. The platform also offers Private Training Courses that can be customized for specific teams and organizations, providing expert-led guidance and accelerated team proficiency. These courses cover essential Ray modules and are available both in-person and virtually.
Mar 19, 2025
596 words in the original blog post.
The Anyscale Technical Webinar Series is a new series of webinars designed to help engineers, data scientists, and ML practitioners get hands-on practice with Ray and distributed AI workloads. The first webinar, Introduction to Anyscale and Ray AI Libraries, was hosted last month and is available on demand now. Each session in the series will focus on real-world AI use cases and distributed computing challenges, following a structured format that includes a 10-minute introduction, a 40-minute technical deep dive, and a 10-minute live Q&A session. The webinars will cover topics such as Ray Data, optimizing performance, hands-on sessions with real-world datasets, distributed model training, training large-scale models with XGBoost on Ray, debugging and monitoring distributed workloads, and more. Sessions are led by the Anyscale team, creators of Ray, and offer hands-on learning, engagement with the community, exclusive resources, and updates on upcoming webinars.
Mar 06, 2025
413 words in the original blog post.