Building on ALCF’s series Intro to AI-Driven Science on Supercomputers, we are hosting a series of hands-on courses that will expand upon advanced topics in AI for science. Attendees will deepen their understanding of applying AI at scale, learn about coupling science simulations with AI, dig into inference workflows, and explore how AI accelerators are enabling for AI for Science.
Pre-requisites
This training series is aimed at undergraduate and graduate students enrolled at U.S. universities. Attendees are expected to:
· Have foundational knowledge of Python
· Have either attended the ALCF Intro to AI-Driven Science on Supercomputers series or have familiarity with the topics covered in the series
o Topics include foundational concepts in parallel computing, neural networks, large-language models, prompt engineering, AI accelerators
o Those without this background knowledge are welcome to look through the Intro to AI videos and materials before the start of the series.
Machine Access
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To access ALCF machines, do the following by Sept 30, 2025:
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Current ALCF Account: submit a request to join 'ALCFAITP' project at: https://accounts.alcf.anl.gov/#/joinProject
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No ALCF Account: request one at: https://accounts.alcf.anl.gov/#/accountRequest. When prompted for project name, select 'ALCFAITP'.
- Inactive ALCF Account: submit a reactivation request at: https://accounts.alcf.anl.gov/#/accountReactivate. When prompted for project name, select 'ALCFAITP'.
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You must use your institution email address at signup.
Account requests submitted after Sept 30 cannot be guaranteed ALCF accounts.
Due to DOE restrictions, participants not at US-based institutions cannot be guaranteed ALCF accounts. Participants without ALCF accounts are still welcome to attend sessions.
Event Website
ALCF AI for Science Training Series
Event Dates
The virtual workshop series will take place Tuesdays from 3:00pm - 4:30pm CT, October 14 – November 11, 2025.
