NSF Unidata and the COMET program are pleased to announce the availability of Unidata's eLearning materials on the COMET's MetEd platform.
Prior to this collaboration with COMET, NSF Unidata's online learning resources were hosted on Unidata's in-house learning management system. Hosting Unidata's courses on MetEd means they will be available to a wider audience, and can take advantage of MetEd's robust learning platform. With the switch to MetEd, learners will be able to provide Unidata with feedback that helps us improve our resources directly within the platform. Learners can also download a certificate of completion after finishing a course.
As of June 2026, five Unidata courses are available on MetEd:
- Supervised Machine Learning Readiness: a self-paced, beginner-friendly learning program designed for Earth systems scientists to explore the core principles of supervised machine learning.
- Learn AWIPS CAVE: an in-depth course to help you learn the fundamentals of working with the AWIPS desktop client (CAVE) through demonstrations, tutorials, activities, assessments, and challenges.
- Learn Python-AWIPS: an introduction to using Unidata's data access framework, using Python to request meteorological and geographic datasets from an AWIPS Environmental Data EXchange (EDEX) server.
- Getting Started with Siphon and THREDDS: a short module that introduces Unidata's THREDDS Data Server and Siphon data access architecture, showing how to make a request for remote data in Python.
- Multidimensional Data Structures: a short module exploring the hierarchical nature of multidimensional data structures, focusing on the netCDF data model.
For more information, including how to access the courses, see NSF Unidata eLearning Resources Now Available on MetEd on the News@Unidata blog.
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Douglas Dirks
Unidata Writer/Editor III
UCAR, UCP and NSF NCAR
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