AWS SageMaker Immersion Day
Train and Tune ML Models in the Cloud
Event Details
As part of the ML+X community's annual hackathon, we’re excited to offer a free AWS SageMaker Immersion Day session, which is now open to the broader UW community. This session is tailored for researchers and machine learning practitioners interested in exploring cloud tools that simplify and accelerate the process of building, training, and deploying models.
What: Amazon SageMaker Immersion Day provides a comprehensive overview of developing and deploying machine learning (ML) models, from feature engineering and using built-in algorithms to training, tuning, and deploying models in production-like environments. It guides you in migrating your existing ML model through a 'Lift-and-Shift' process, enabling you to move your on-premise ML workloads to the Amazon SageMaker platform. It also includes advanced topics like Model Debugging, Model Monitoring and AutoML, and provides guidance to evaluate your ML workload through AWS ML Well-architect lens. Here is a link to the content of the workshop: https://catalog.us-east-1.prod.workshops.aws/workshops/63069e26-921c-4ce1-9cc7-dd882ff62575/en-US
Where: Computer Sciences, Room 1240; Zoom
When: Oct 23, 9:30-11:30 AM CT
Temporary accounts: We’ll bring accounts for everyone for the labs that expire within 36 hours. So if anyone can’t get through the lab within the 2 hours they can always play on their own for a day or two.
Register: If you’d like to attend, please complete the registration form by October 18 so we can set up the temporary AWS accounts ahead of time.