Experience the future of weather forecasting in this interactive session where participants will learn to run state-of-the-art AI weather prediction models using free cloud resources. This practical, hands-on course guides you through the complete process of setting up, running, and visualizing weather forecasts using models like FourCastNetv2, Pangu-Weather, and GraphCast on Amazon SageMaker.

Perfect for meteorologists, researchers, students, and weather enthusiasts, this course requires no specialized hardware or deep learning expertise.

106th AMS Annual Meeting
George R. Brown Convention Center
January 25, 2026 at 1:00 PM - 3:45 PM Central Time (In Person)

REGISTRATION RATES

 

REGISTER NOW

Course Description:

Participants will learn to independently run and interpret AI-based weather prediction models using cloud computing resources. By the end of this course, participants will be able to:

1. Configure and connect to AWS cloud computing resources
2. Install and set up required AI weather prediction packages and dependencies
3. Execute different AIWP models (FourCastNetv2, Pangu-Weather, GraphCast)
4. Convert model outputs from GRIB to NetCDF format for analysis 5. Create professional weather visualization products using Python

Participants will leave this course with a comprehensive set of practical skills and knowledge that can be immediately applied to implement AI-based weather prediction systems using AWS infrastructure. They will gain hands-on experience in setting up and configuring AWS SageMaker for weather prediction models, understanding how to efficiently manage data pipelines for meteorological data, and mastering the deployment of models in production environments. The course provides concrete understanding of cost optimization strategies, enabling participants to make informed decisions about resource allocation and scaling. 

VIEW AGENDA

If you have questions regarding the course, please contact Rayette Toles-Abdullah.

Instructors: