2024 Dates: June 3 – August 2, 2024 
About
The goal of the NACME Artificial Intelligence-Machine Learning Intensive Boot Camp supported by Apple 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.
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 9-week AI/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.
Program Overview
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:
Benefits
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 9-week program.
Travel stipend to cover the arrival and departure costs (if home institution is out-of-state)
Summer stipend ($10,000) for participating in the program
Computer Science 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.
Eligibility
Apple Scholarship Recipient
Current computer science or engineering student in good standing and matriculating in a bachelor science degree program preferably at a NACME Partner Institution.
Domestic status: US Citizen, Permanent Resident, or DACA.
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 3.0, above 3.2 is strongly preferred
Expectations
An open-mind and willing to engage with other students and learn new tools.
Students are required to reside on campus for 9 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.
Next Steps
Apply for AI/ML using the NACME Application
If you receive conditional admission, finalists will also have to apply directly for summer admission to their assigned University.
Fully admitted students will receive information on how to book travel arrangements.
Faculty
Dr. Corey E. Baker
Assistant Professor
Department of Computer Engineering
University of Southern California (USC)
Learn More>
Dr. Christine Allen-Blanchette
Assistant Professor
Center for Statistics & Machine Learning
Princeton University
Learn More>
