Students engage in cutting-edge interdisciplinary machine learning research in teams, culminating in published research papers and presentations to university professors at an annual conference.
The MehtA+ AI/Machine Learning Research Bootcamp is a 6-week virtual university-level program designed for students in grades 8-12. Taught by MIT and Stanford engineers, the bootcamp introduces students to the mathematical foundations of AI, machine learning, and deep learning models. Students learn data preprocessing techniques and how to train complex AI models from scratch. The curriculum covers topics such as neural networks, natural language processing, reinforcement learning, and ethical implications in AI research. Students gain practical skills using Python and libraries like NumPy, Pandas, Scikit-learn, TensorFlow, Keras, and PyTorch. The program culminates in interdisciplinary research projects, where students work in teams to apply their skills to real-world problems in fields like medicine, digital humanities, economics, and linguistics. They write and publish research papers online and present their findings at the annual MehtA+ Machine Learning conference to university professors. No prior experience is required.
A typical day involves 4 hours of virtual lectures covering new concepts, reviewing homework, and sometimes includes guest speakers discussing real-world applications of machine learning, group activities, and friendly competitions.
This bootcamp is ideal for students in grades 8-12 who are passionate about AI/ML or curious about diving into the world of artificial intelligence and machine learning, with no prior experience required.
Virtual
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