The eScience Institute of the University of Washington is offering a hands-on 5-day training in AI methods for research, facilitated project work, and self-directed learning. Our event is designed for researchers looking to move beyond textbook examples and tackle the challenges of real-world applications.

On day one, we offer a full day of tutorials on AI foundations, during which participants will learn the fundamentals of training and evaluating deep neural networks for various applications such as vision, language, and others. Participants will learn more advanced topics in the following days such as foundation models and scaling workflows. They will also work on a project of their choice to explore different phases of the AI research lifecycle, from problem formulation and model selection to communication of results and responsible use.

Event Details

When: Mon–Fri, July 27th-31st, 9:00 am–5:00 pm each day

Where: MSDS Space – Seminar Room (In Person / No Online option)

Who should apply: Open to participants from any discipline. Aimed at researchers interested in applying AI methods in their work, i.e., PhD students, postdocs, research faculty and staff, and master’s or undergraduate students who are already involved in research.

Registration: Event cost tiers: UW Student: $30, UW Postdoc: $50, UW Staff/Faculty: $100, Non-UW: $200. Registration is limited, with preference given to UW students, postdocs, staff, and faculty. 

Prerequisites: Programming experience in a scripting language such as Python or R. Familiarity with one or more machine learning approaches, such as logistic regression or random forests. Visit our FAQ page for more information about prerequisites. 

More Information: Event website, including the agenda.

Apply now: Our application is now open. Please feel free to distribute this message widely among your colleagues and to email Mark Welden-Smith at mweldens@uw.edu with any questions about the event.