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.