Students gain hands-on experience building a portfolio of AI and machine learning projects using industry-standard tools and datasets, guided by experienced instructors on a university campus.
In this iD Tech camp, students learn Python programming to explore data analysis and build AI models. The curriculum focuses on practical application, allowing students to train models to identify and categorize images, objects, or handwriting. Campers utilize professional datasets like TensorFlow and Kaggle to design advanced detection projects, such as creating a Pictionary game where an AI companion solves clues as they draw them. The program also delves into the fundamentals of neural networks, including data aggregation, and offers thoughtful discussions around AI ethics, privacy, and responsible design. By the end of the week, students will have developed a portfolio of AI and machine learning projects suitable for college applications.
A typical day includes morning announcements and icebreakers, followed by focused coursework in small groups. After lunch in the campus dining hall, students return for more instruction, with breaks for outdoor activities, board games, and other recreational options. The day concludes with project work and wrap-up activities.
This camp is ideal for high school students aged 13-17 with some prior coding experience who are eager to delve into the practical applications of AI and machine learning.
Princeton University, Princeton, NJ
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