Students gain hands-on experience building a machine learning portfolio on a university campus, guided by experienced instructors who emphasize responsible AI usage.
Students in the iD Tech AI & Machine Learning Camp explore the exciting fields of artificial intelligence and machine learning through hands-on projects. They learn Python programming fundamentals, then dive into machine learning and neural networks. Campers build machine learning models to identify and categorize images, objects, or handwriting, utilizing professional datasets like TensorFlow and Kaggle. The curriculum also covers data classification and the design of neural networks. By the end of the week, students will have developed a portfolio of AI and machine learning projects, gaining valuable skills in a rapidly advancing technological field. The camp emphasizes responsible AI usage, ethics, and privacy through guided instruction and thoughtful discussions.
A typical day includes 5 hours of instruction and collaboration in labs, 2 hours of outdoor activities and socializing, and up to 1 hour of flex time for project refinement or breaks.
This camp is best for teens aged 13-17 who are interested in understanding how AI systems are built and machine learning models are trained, and who want to develop a portfolio of projects for college applications.
Multiple Locations (e.g., University of Texas at Austin)
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