Educational Resources for AI and Machine Learning


Short courses, tutorials, conferences, webinars, courses, and data sets

Short Courses and Tutorials

Dates: 26 – 29 July, 2021

Offered by AI2ES and NCAR

Topics include Trustworthy AI for Environmental Science; Explainable, Robust, Physics-based AI; AI, Ethics, and Trust; Case Studies; R2O Tips and Tricks.

AI4ES summer school 2021

Machine Learning in Python for Environmental Science Problems

Dates: 8 – 9 April , 2021 at 10:00 AM – 6:00 PM Eastern Time (Virtual)

Host: American Meteorological Society

2nd NOAA Workshop On Leveraging AI In Environmental Sciences

Dates: 30 July 2020 – 25 February 2021

Host: National Oceanic and Atmospheric Administration’s STAR Center for Satellite Applications and Research

Workshop includes presentations, posters, panel discussions, and tutorials. 

Tutorial sessions: 22 September 2020 and 20 October 2020. More tutorial sessions are planned. 

 CIRA Short Course On Machine Learning For Weather And Climate

Dates: 16 September – 21 October 2020

Instructors: Dr. Ryan Lagerquist (CIRA Boulder and NOAA GSL) and Dr. Imme Ebert-Uphoff (CIRA Fort Collins and Colorado State University)

Links are available for recorded video lectures, GitHub, and Jupyter Notebooks on the CIRA website.

Artificial Intelligence For Earth System Science (AI4ESS) Summer School

Dates: 22-26 June 2020

Host: National Center for Atmospheric Research (Boulder, Colorado, USA)

Presentation slides and recordings are available at the site

Conferences and Webinars

20th Conference On Artificial Intelligence For Environmental Science

Dates: 10-14 January 2021 in New Orleans, Louisiana, USA as part of the American Meteorological Society’s annual meeting

Host: Sponsored by the American Meteorological Society and organized by theAMS Committee on Artificial Intelligence Applications to Environmental Science

2nd NOAA Workshop On Leveraging AI In Environmental Sciences

Dates: 30 July 2020 – 25 February 2021

Host: National Oceanic and Atmospheric Administration’s STAR Center for Satellite Applications and Research

Workshop includes presentations, posters, panel discussions, and tutorials. 

19th Conference On Artificial Intelligence For Environmental Science 

Dates: 13 – 16 January 2020

Part of the American Meteorological Society’s 2020 annual meeting. 

Presentation recordings are online.

Courses

University of Oklahoma – Norman

Computer Science Course CS 5970: AI, Ethics, and Geoethics

Dates: Spring semester  2021, online only

Instructor: Dr. Amy McGovern, Lloyd G. and Joyce Austin Presidential Professor, School of Computer Science and School of Meteorology, and Director of the NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography, University of Oklahoma

  University of OK-Norman course CS5970 ad

Del Mar College

Computer Science, Engineering and Advanced Technology Department, Course:  Introduction to Artificial Intelligence (GISC-1372-709FA)

Instructor:  Dr. Phillip Davis 

This is the first AI course as part of a 14-hour Level I Certificate program that supports the College’s Associate in Science in Geographical Information Systems degree.  Introduction to Artificial Intelligence (GISC-1372-709FA) covers AI and Machine Learning and will be taught online by course designer Phillip Davis, Ph.D., DMC Professor of Computer Science. The course is one of five making up the AI Level I Certificate program.

To learn more about the certificate program and the AI course, contact Dr. Davis at pdavis@delmar.edu

.To register for DMC Summer I and II and Fall 2021 credit courses, go to www.delmar.edu/registration for admissions and registration requirements, deadlines and other information.

Weather and Climate Datasets for AI Research

A collection of weather and climate datasets for AI research curated by Stephan Rasp.