Students gain a unique opportunity to develop portfolio-ready AI projects and a structured research mindset through multi-level mentorship in a university setting.
The PEAAII AI Summer Camp at the University of Massachusetts Boston is a hybrid, project-based program for high school students (grades 8-12) with no prior research experience. Through story-driven teaching, hands-on labs, guided practice, and team projects, students learn the foundations of artificial intelligence and research methodology while building their own portfolio-ready work. The curriculum covers machine learning, computer vision, natural language processing, generative AI, robotics, and AI ethics. Students will identify real-world problems, formulate research questions, design experiments, analyze data, and develop and present a final AI project prototype. The program emphasizes building a structured research mindset and provides multi-level mentorship from professors, PhD students, and assistants. Each week focuses on a different AI topic, allowing students to enroll for individual weeks or the full five-week experience.
A typical day includes a 3-hour lecture on fundamental theories and real-world cases led by a professor, followed by a 3-hour live session with a PhD student, and two hours of guided practice with assistants.
This camp is ideal for high school students (grades 8-12) with little to no prior research experience who are curious about AI and want to build portfolio-ready projects.
University of Massachusetts Boston, Boston, MA
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