Boot Camp

NACME Artificial Intelligence - Machine Learning Intensive Summer Bootcamp
Supported by Apple

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>

Bootcamp Sponsored by