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EECS Student Announcements

Electrical Engineering and Computer Sciences, UC Berkeley

UK NACME Google Applied Machine Learning Intensive (AMLI) Summer 2021 Bootcamp

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UK has a summer program, the NACME Google Applied Machine Learning Intensive (AMLI) for undergraduates who are URM. The program is an all expense paid, 8-week summer program. Undergraduates, Graduate Students, and Faculty should apply 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 over the course of 8 weeks.
  • Receive full room and board during the 8 week program. Students will stay in the Ball Hall dorms.
  • Receive travel stipend to cover the arrival and departure costs.
  • Potentially receive a stipend for participating in the program (pending).
  • Earn upper-division CS elective course credit for completing the bootcamp. Students will be able to transfer this credit into their respective university/department, pending their respective university policies and guidelines.

Graduate students receive the following

  • A competitive salary, $8k – $12k for teaching during the 8 week bootcamp.
  • Travel stipend to cover the arrival and departure costs to Lexington, KY.
  • 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 2-3 hours a day, 5 days a week.
  • Utilize 5-6 hours of the day to collaborate on research with the Network Reconnaissance Lab or other labs at UK.

Faculty are encouraged

  • Submit a 2 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 new found ML skills to your proposed project.
  • Faculty leading a project will mentor students as well as have them interact with their research lab. 
  • Faculty are encouraged to apply for NSF REU funds to support stipends for the students on their project.