Applied Machine Learning Intensive (AMLI)

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

Dates: June 7 - July 30, 2021

The goal of the UK NACME-Google AMLI Summer Bootcamp is to provide students with an introduction to computer science content to be qualified for positions as entry-level Machine Learning (ML) Specialists. Specifically, to prepare talent to understand how to apply statistics and ML to solve real-world data science problems. The bootcamp aims to expose under-represented minority (URM) undergraduate students to advanced concepts in artificial intelligence/machine learning using Google Education’s open-sourced curriculum. The NACME-Google AMLI Summer Bootcamp at the University of Kentucky is housed in the Department of Computer Science under the College of Engineering and led by Dr. Corey E. Baker.

As ML becomes a powerful tool across industries — from healthcare and retail to investment banking and insurance — there is a growing need for a workforce that understands how to apply ML strategically and use ML models to collaborate with data scientists and engineers for maximum business impact. The 8-week ML curriculum gives students the strong computer science foundation they need to work with large datasets and solve real-world problems. Classroom time is dedicated to hands-on learning, with faculty-supported, collaborative project work. Students learn actively outside of class, with instruction and new concepts delivered in-person and remotely.

Definition of AMLI URM

NACME provides a definition of Underrepresented minorities (URMs) — African Americans, American Indians/Alaska Natives, and Latinos— who have historically comprised a minority of the U.S. population are growing in size and influence. Currently, they constitute 30 percent of the U.S. population, but by 2050, these groups will account for greater than 40 percent of the U.S. population. Underrepresented minorities are particularity underrepresented in the fields of science, technology, engineering, and mathematics (STEM). Contrast these metrics with the number of URMs earning bachelor’s degrees in engineering; they earned only 12.5 percent of all such degrees in 2011. Higher education experts say this gap poses an alarming problem not only to universities but also to the nation as a whole.

Levels of Participation

You are able to participate in the UK NACME Google AMLI Bootcamp in one (1) of three (3) roles:

  1. URM Undergraduate student (Apply)

    • 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.

  2. Teachers - URM Junior Faculty, Post-doc, or Graduate Student (Apply)

    • Receive a competitive salary, $8k - $12k for teaching during the 8 week bootcamp.

    • Will receive travel stipend to cover the arrival and departure costs.

    • 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.

  3. Faculty Research Advisor (Apply)

    • Are encouraged to 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.

 

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