The camp offers a unique opportunity to build a comprehensive AI and machine learning project portfolio on a university campus, guided by experienced instructors, preparing students for future academic and career pursuits.
Campers aged 13-17 at the iD Tech Artificial Intelligence and Machine Learning Camp engage in hands-on projects to build foundational and advanced AI/ML skills. Participants learn to construct machine learning models using Python code and train these models for tasks like image recognition. The curriculum delves into the fundamentals of neural networks and data aggregation, incorporating professional datasets such as TensorFlow and Kaggle. Students design advanced detection projects, including an AI companion for a Pictionary game. Beyond technical skills, the camp fosters critical discussions around the ethical implications, privacy concerns, and responsible design of AI systems. By the end of the week, each camper develops a comprehensive portfolio of AI and machine learning projects, suitable for college applications, preparing them for future studies or careers in computer science.
A typical day for day campers involves check-in between 8:30-9am, followed by morning announcements and coursework from 9:30am to noon. After lunch, instruction continues from 1pm, with a computer break and outdoor time around 2:30pm, returning to projects by 3:15pm, and wrapping up for pick-up between 4:30-5pm.
This camp is ideal for high school students aged 13-17 who are interested in computer science and want to build a strong portfolio of AI and machine learning projects for college applications.
University of Washington, Seattle
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