Students gain hands-on experience building AI and machine learning projects on a university campus, guided by experienced instructors, and develop a portfolio for college applications.
Students attending iD Tech Camps at UT Austin for AI & Machine Learning will delve into the fundamentals of artificial intelligence and machine learning. The curriculum emphasizes hands-on projects, allowing participants to build machine learning models using Python. Key activities include training models to identify and categorize images, objects, or handwriting, and utilizing professional datasets like TensorFlow and Kaggle. Students will also explore neural networks, including data aggregation, and develop a portfolio of AI and machine learning projects. The camp fosters critical thinking through discussions on ethics, privacy, and responsible design in AI.
A typical week involves learning Python programming essentials, diving into machine learning and neural networks, focusing on data classification, and designing a neural network. The program culminates in refining projects and building a comprehensive portfolio suitable for college applications. Students will gain practical skills in building and training AI models, working with industry-standard tools, and understanding the societal impact of AI.
A typical day includes check-in, morning announcements and icebreakers, splitting into course groups for instruction and project work, lunch in the campus dining hall, more instruction, a computer break with outdoor time or board games, and continued project work before wrap-up and pick-up.
This camp is best for high school students (ages 13-17) with an interest in artificial intelligence, machine learning, and Python programming, who want to build a project portfolio.
UT Austin Campus
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