The camp offers a university-level AI training experience with mentorship from UMass Boston Computer Science faculty and AI experts, focusing on building portfolio-ready, end-to-end AI projects.
The UMass Boston AI Summer Camp, hosted by the Paul English Applied Artificial Intelligence Institute (PEAAII), is a hybrid, project-based program for students in grades 8-12. The camp focuses on building skills in machine learning, computer vision, natural language processing, generative AI, robotics, and AI ethics. Through a modular curriculum, students can enroll for one or multiple weeks, progressively deepening their AI knowledge and hands-on experience. The program emphasizes moving from foundational concepts to developing portfolio-ready projects in a real research environment. Students will engage in story-driven teaching, hands-on labs, guided practice, and team projects, culminating in a final project presentation. The camp aims to foster curiosity, critical thinking, and the confidence to solve real-world problems using AI, preparing students for future academic and career opportunities.
A typical day includes a 3-hour lecture on fundamental theories and real-world cases led by professors, followed by a 3-hour live lab session led by PhD student mentors, and 2 hours of guided practice supported by AI Institute assistants.
This program is best for students with little to no prior research or programming experience who are curious, willing to learn, and eager to solve real-world problems using AI.
University of Massachusetts Boston, 100 William T. Morrissey Blvd, Boston, MA 02125
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