The goal of the NACME Applied Machine Learning Intensive Boot Camp supported by Google 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 supported by Google is held at NACME affiliated Universities.
For Summer 2022:
University of Arkansas
University of Kentucky
Morgan State University
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 URM in STEM
US Bureau of Labor Statistics publishes participation in engineering and computer science by race and ethnicity. 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. These groups 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.
The NACME AMLI Boot Camp supported by Google is designed to increase diverse participation in the Applied Machine Learning field.Current engineering or computer science undergraduate students will be selected to participate in a rigorous and exciting learning environment over the Summer.
Current engineering or computer science undergraduate students will be selected to participate in a rigorous and exciting learning environment over the Summer. Admitted students will receive:
Full room and board during the 8-week program.
Travel stipend to cover the arrival and departure costs (if home institution is out-of-state)
Summer stipend ($4,800) for participating in the program
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.
Current computer science or engineering student in good standing and matriculating in a bachelor science degree program preferably at a NACME Partner Institution.
Self-identify as under-represented in the field of engineering or computer science.
Domestic status: US Citizen, Permanent Resident, or DACA and eligible for employment by the program sponsor or a NACME Board Company.
Evidence of coursework in statistics and at least one computer science class or willingness to participate in an accelerated pre-bootcamp education experience
Minimum cumulative GPA is 2.8, above 3.2 is strongly preferred
An open-mind and willing to engage with other students and learn new tools.
Students are required to reside on campus for 8 weeks and in the AMLI classroom from 9 -5, M-F.
Students are expected to participate in group study overnight and weekends, as well as program activities.
Apply for AMLI using the NACME Application
If you receive conditional admission, finalists will also have to directly apply for summer admission to their assigned University.
Fully admitted students will receive information on how to book travel arrangements.
Dr. Corey E. Baker
Department of Computer Science
University of Kentucky (UK)Learn More>
Dr. Christine Allen-Blanchette
Department of Mechanical and Aerospace Engineering
Princeton UniversityLearn More>
Dr. Christan Grant
College of Engineering
University of Oklahoma GalloglyLearn More>
Dr. Ngan T.H. Le
Department of Computer Science & Computer Engineering
University of ArkansasLearn More>
Dr. Khoa Luu
Department of Computer Science and Computer Engineering
University of ArkansasLearn More>
Dr. Kofi Nyarko
Tenured Associate Professor
Department of Electrical and Computer Engineering
Morgan State UniversityLearn More>