Back To Schedule
Tuesday, October 24 • 1:00pm - 1:50pm
PRO Workshop (AI): Introduction to Ray for Distributed and Machine Learning Applications in Python

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

Feedback form is now closed.
Jules Damji, Anyscale, Ray Team

An introduction to Ray (https://www.ray.io/), the system for scaling your Python and machine learning applications from a laptop to a cluster. We'll start with a hands-on exploration of the core Ray API for distributed workloads, covering basic distributed Ray Core API patterns for scaling ML workloads:

* Remote Python functions as tasks
* Remote objects as futures
* Remote Python classes as stateful actors
* Multi-model training with Ray Core APIs patterns

If you are a data scientist, ML engineer, or a Python developer the key takeaways:

* Understand what Ray 2.0 is and why to use it
* Learn about Ray Core Python APIs and convert Python functions and classes into distributed stateless and stateful tasks
* Use Ray Dashboard for inspection and observation metrics
* Learn how use Ray core for multi-model training

If you want to set up your laptop or follow-along in the workshop, please set up your laptop ahead of the workshop
with instructions specified in this link: https://github.com/dmatrix/devAIWorld23

avatar for Jules Damji

Jules Damji

Ray Team, Anyscale
Jules S. Damji is a lead developer advocate at Anyscale Inc, an MLflow contributor, and co-author of Learning Spark, 2nd Edition. He is a hands-on developer with over 25 years of experience and has worked at leading companies, such as Sun Microsystems, Netscape, @Home, Opsware/LoudCloud... Read More →

Tuesday October 24, 2023 1:00pm - 1:50pm PDT
AI DevWorld -- Main Stage