The program offers a tiered, two-week immersive experience, allowing students to progress from beginner-level Python and predictive modeling to advanced deep learning concepts using industry-standard tools like PyTorch, all within a university lab setting.
The "Under the Hood - Machine Learning and AI Summer Program" at the University of Minnesota offers rising 11th and 12th graders a two-week immersive experience in AI and machine learning. The program is structured in two distinct weeks: Week 1, "Intro to ML," is designed for beginners and focuses on Python fundamentals and building predictive models using real-world data from ecology and sports. Week 2, "Advanced Deep Learning," is for students seeking a more in-depth experience, delving into Neural Networks, Computer Vision, and Generative AI using industry-standard tools like PyTorch. Students will engage in hands-on, project-based learning, working with real-world datasets and conducting data-driven investigations. The curriculum emphasizes understanding the mathematical engines, Python code, and ethical frameworks that drive modern AI innovation. Participants will also spend time in UMN's premier labs, interacting with autonomous robotics and hearing from world-class researchers.
A typical day involves hands-on learning, mastering Python fundamentals, building predictive models, and exploring advanced topics like Neural Networks and Generative AI, with time spent in UMN labs and interacting with researchers.
This program is ideal for rising 11th and 12th graders who are interested in demystifying AI and gaining practical skills in machine learning and data science, regardless of prior coding experience.
599 Walter Library, 117 Pleasant St SE, Minneapolis, MN 55455
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