RSVP Webinar: [https://www.eventbrite.com/e/webinarkubeflow-tensorflow-tfx-pytorch-gpu-spark-ml-amazonsagemaker-tickets-45852865154](https://www.eventbrite.com/e/webinarkubeflow-tensorflow-tfx-pytorch-gpu-spark-ml-amazonsagemaker-tickets-45852865154)

**Talk #0: Introductions and Meetup Announcements**
By Chris Fregly and Antje Barth, Principal Developer Advocates, AI and machine learning @ AWS

**Talk #1: Generative AI on AWS**
By Heiko Hotz, Sr. Specialist Solution Architect AI/ML @ AWS

In this talk, we will discuss how generative AI users fall into two camps: (1) Generative AI consumers – these are customers who want to use large models like GPT-J, BLOOM, etc internally to automate/speed up some of their processes (e.g. content generation) (2) Generative AI as SaaS – these users who want to provide their customers with services like avatar generation.

**Talk #2: 15 ways to train XGBoost models with Spark and Ray on AWS: SageMaker, Glue, EMR, Athena, Redshift, Oh my!**
By Chris Fregly, WWSO GTM Principal Specialist SA, AI/ML/Data

RSVP Webinar: [https://www.eventbrite.com/e/webinarkubeflow-tensorflow-tfx-pytorch-gpu-spark-ml-amazonsagemaker-tickets-45852865154](https://www.eventbrite.com/e/webinarkubeflow-tensorflow-tfx-pytorch-gpu-spark-ml-amazonsagemaker-tickets-45852865154)

Zoom link: [https://us02web.zoom.us/j/82308186562](https://us02web.zoom.us/j/82308186562)

**Related Links**
O’Reilly Book: [https://www.amazon.com/dp/1492079391/](https://www.amazon.com/dp/1492079391/)
Website: [https://datascienceonaws.com](https://datascienceonaws.com/)
Meetup: [https://meetup.datascienceonaws.com](https://meetup.datascienceonaws.com/)
GitHub Repo: [https://github.com/data-science-on-aws/](https://github.com/data-science-on-aws/)
YouTube: [https://youtube.datascienceonaws.com](https://youtube.datascienceonaws.com/)
Slideshare: [https://slideshare.datascienceonaws.com](https://slideshare.datascienceonaws.com/)