AI Camp
2025 AI Camp
Open to grades 6 to 12
In our curriculum, we emphasize ethical responsibility, career paths in artificial intelligence, and interdisciplinary applications! From beginner to advanced coders, we envision a future where students of all backgrounds can contribute towards a bright future of inclusivity and technological advancement.
AI Pioneers (grades 6 - 8)
In AI Pioneers, our emerging engineers will learn how to create projects for social good with Python programming language. Through hands-on coding, students will learn how computers can use data to solve complex problems like natural language processing and computer vision. Led by Stanford, MIT, and Ivy League alumni and graduate students, students will explore the ways they can meaningfully use AI to predict heart disease, create social robots, assist with disaster relief, and navigate autonomous vehicles.
Course Structure
- Machine Learning Talks: Learn about machine learning algorithms and techniques in a uniquely interactive, engaging format, before you apply that knowledge in live coding labs.
- Hands-On Python Coding: Develop valuable skills in Python, machine learning, and artificial intelligence in our hands-on coding labs, using cutting-edge research to solve real-world problems like heart disease prediction, assistive technologies, and more.
- Project-Based Learning: In our final capstone project, students will be able to apply their newly acquired talents in a collaborative, challenging environment, applying AI to an in depth project Examples include allocating resources for disaster relief, sketch recognition, or creating a website to recommend movies.
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AI Scholars (grades 9 -12)
In this course, we will explore the foundations of machine learning and explore different applications of machine learning models. In the first half of the course, students learn AI’s core technologies including applications, foundational concepts, and programming tools through live lectures and coding labs. Students will not only learn about different types of machine learning models, but also apply those models to real data sets. In the second half of the course, students will complete an instructor-led group project applying AI to the discipline of their choice (e.g., music, healthcare, astrophysics, finance, etc.), utilizing the programming skills they developed in the first half.
Course Structure
- Machine Learning Talks: Learn about machine learning algorithms and techniques in a uniquely interactive, engaging format, before you apply that knowledge in live coding labs.
- Hands-On Python Coding: Develop valuable skills in Python, machine learning, and artificial intelligence in our hands-on coding labs, using cutting-edge research to solve real-world problems like breast cancer diagnosis, building self-driving cars, and more.
- Project-Based Learning: In our AI for Social Good project, students will be able to apply their newly acquired talents in a collaborative, challenging environment, applying AI to a domain they’re passionate about (e.g., music, healthcare, astrophysics, finance, etc.). Students can use these projects in their résumés and college applications.
LEARN MORE HERE
Meet The Director
Jared Greene is a lifelong educator who is passionate about positioning students for success in their future college and career endeavors. He received his Bachelor’s in English & American Literature and Language at Harvard University. He is interested in the intersection of AI and literature, particularly how artificial intelligence is revolutionizing literary analysis.
