This summer, June 6 - July 29, 2022, the University of Kentucky will host its second bootcamp, the National Action Council for Minorities in Engineering (NACME) Google Applied Machine Learning Intensive (AMLI) for undergraduates.
NACME undergraduate eligibility requires students to fall under NACME’s definition of under-represented minorities (URMs).
The program is an all-expense paid, 8-week summer program. Undergraduates, Graduate Students, and Faculty looking for more information should check here: https://amli.engr.uky.edu
Undergraduate students receive the following
- 20 current students will be selected to participate in the rigorous and exciting learning environment for eight weeks
- Receive full room and board during the eight-week program
- Students will stay in the Jewell Hall dorms
- Receive a stipend for participating in the program
- Earn upper-division CS elective course credit (3 credit hours) for completing the bootcamp. Students will be able to transfer this credit into their respective university/department, pending their respective university policies and guidelines
- Students should complete the NACME Google AMLI Bootcamp Applicationapply here: https://apply.nacme.org by 4/15/22
Graduate students receive the following
- $4k - $5k for teaching during the eight-week bootcamp
- Interact with other graduate student researchers and faculty
- Graduate student teachers are required to relocate to Lexington, KY during 8 weeks of the AMLI program
- Learn the curriculum before your arrival. If selected, the curriculum will be provided to you
- Teach and interact with the AMLI students for 4-6 hours a day, five days a week
Faculty are encouraged to
- Submit a two-page project proposal related to ML. If your project is selected, 2-4 of the AMLI students will be assigned to your project during the last 4-5 weeks of the program. The students will apply their newfound ML skills to your proposed project.
- Faculty leading a project will mentor students and have them interact with their research lab.
- Faculty are encouraged to apply for NSF REU funds to support stipends for the students on their projects.