Course curriculum

    1. Why Ray and Why Anyscale

    2. Understanding Anyscale Workspaces and compute resources

    3. Monitoring and debugging Ray applications

    4. Configurations

    5. Production Jobs

    6. Production Services

    1. Introduction to the Ray AI Libraries

    2. Introduction to Ray Train

    3. Introduction to Ray Tune

    4. Introduction to Ray Data

    5. Introduction to Ray Serve

    6. Introduction to Ray Core

    1. Ray Train Deep Dive

    2. Ray Train Observability

    3. Tuning Configs for Cost and Performance

    4. Debugging Ray Train common failures

    1. Ray Data for Batch Inference

    2. Ray Data Architecture

    3. Diagnosing Ray Data

    1. Stable Diffusion and Ray

    2. Primer on Stable Diffusion

    3. Pre-processing for Stable Diffusion

    4. Distributed Training for Stable Diffusion

    5. Distributed Training Optimizations for Stable Diffusion

About this course

  • Understand Ray and Anyscale ecosystem
  • Build data pipelines and model training architectures
  • Deploy and tune performance of the Ray apps

Upcoming Public Classes

Free E-Learning

Explore Online Courses