Our education programs range from broad introductions on topics relevant to uncertainty quantification to deep dives into the technical know-how necessary to implement rigorous machine learning, artificial intelligence, and uncertainty quantification solutions to complex real world and experimental problems. The building blocks of our education programming are our course modules; these half-day trainings each address a single subject area and provide the flexibility to completely customize your own educational programming. We have organized related modules together into several courses that each address specific topic areas that range from foundational skills in using python for Machine Learning to advanced topics like Artificial Intelligence.

Overlaid on top of our modules and courses the UQ Foundation offers five-day workshops in Machine Learning, Data Science, and Uncertainty Quantification. These workshops are entirely self-contained and meet the required prerequisites for each of the included modules during the course of the workshop, and provide a solid foundation for intermediate and advanced courses and modules in all three broad areas. To see an overview of the structure of each of the three workshops and the included courses and modules, please follow this link (a new tab or window will open). Reserving a seat in one of our education programs will include a one-year UQ Foundation membership. The reservation process for our Education Programs includes an automatic validation of prerequisite modules taken through the UQ Foundation, however, if you would like to discuss using prior training from outside of our program to fulfill prerequisites, please contact us.

Currently our upcoming educational programs are being delivered virtually. Sessions are led online, in real time, by our instructors.
For group reservations or assistance in planning a curriculum contact

Workshops

Courses

Schedule

Modules