Academy Overview
The AI for Scientists and Engineers Summer Academy is designed for academic researchers, including university faculty, in a wide range of domains including biological sciences, engineering, environmental and earth science, physical sciences, and social sciences. Participants will learn the mathematical foundations of machine learning (ML), critically assess the data used in AI models, evaluate and validate ML model outputs, and understand strategic considerations for incorporating AI into research workflows. The prerequisites are college level math and statistics; prior coding experience is not required. Specific topics include supervised and unsupervised learning, neural networks, causal inference, and science-informed machine learning models.
The Summer Academy consists of two weeks of instruction, with different focuses. You can attend any or all weeks.
- Week 1 (Monday, July 12 – Friday, July 16, 2027): Topic To Be Announced
- Break Week (Monday, July 20 – Friday, July 24, 2027)
- Week 2 (Monday, July 26 – Friday, July 30, 2027): Topic To Be Announced
Participants are expected to bring a laptop for the academy’s programming components.
Additional Information
By the conclusion of the Academy, participants will be better prepared to integrate AI approaches into their research, collaborate more effectively with AI experts, and be ready to take the next steps in their AI journey.
Internal Participants (U-M Personnel and Students)
- Weekly Rate: $250
- Discounted Rate (both Week 1 and Week 2): $450 (Thanks to the support from the University that allows us to offer a deep discount for U-M employees and students)
- Free for students in the Graduate Data Science Certificate Program – a code will be provided
Other Academic Institution and U-M Alumni
- Weekly Rate: $1,000
- Discounted Rate (must be registered for both weeks): $1,500
External Participants
- Weekly Rate: $3,000
- Discounted Rate (both Week 1 and Week 2): $5,000
This academy is open to researchers in academia, industry and public-sector organizations. We especially welcome university faculty to attend.
Summer academies are designed with faculty, staff, and postdocs in mind. Students are also welcome to apply, though priority will be given to faculty, staff, and postdocs.
College level math and statistics
Note: prior coding experience is not required
- More than 14 days before the first day: full refund minus $50 processing fee
- Cancellation between 7 and 14 days of the first day: 50% refund
- Less than 7 days: no refund
University of Michigan – Ann Arbor
Central Campus location TBD
Parking available nearby includes a parking structure for U-M Blue/Gold permit holders, located at 525 Church St., and metered street parking along Church St. There is also a public garage at 650 S. Forest Ave. View available public parking in Ann Arbor here and real time occupancy counts and public parking structures here.
Participants will leave equipped with practical knowledge and tools they can immediately apply in their work, along with connections to a peer community for ongoing learning—plus continued access to all session recordings and materials through December 31, 2027.