AI Summer Program Taught by Stanford Alumni Hosted at Mt. Sinai High School
Inspirit AI is offering an in-person, 30-hour pre-college AI program hosted at Mt. Sinai HS that teaches students in grades 6-12 fundamental AI concepts and guides them to build socially impactful projects such as safe ChatGPT bots, exoplanet search, self-driving car systems, and more! Stanford and MIT graduates in AI will be present in person from July 13-24, 2026 to teach. Please read more information in the program brochure and apply here. Separate middle and high school sections will be offered. Program contact: Jared Greene, jaredgreene@inspiritai.com
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 grad 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.
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.
Please read more here and apply here!
Featured Projects
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Sketch Recognition - Understanding Drawings for Effective Communication
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AI Scholars: Interdisciplinary Artificial Intelligence Project-Building Program for High Schoolers
What do self-driving cars, Alexa, and iPhone's face recognition technology have in common? They are driven by modern advances in artificial intelligence. Whether you’re interested in law, healthcare, art, or economics, AI is poised to transform every discipline and industry in the future. AI is already all around us today, and by the end of the program, students will understand the underlying concepts and motivations behind technology such as computer vision, neural networks, and natural language processing.
In this summer intensive, 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 online 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.
Feel free to read more here. Students may apply here.
Sample Projects for 2026
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Safe ChatGPT: Build an Authentic Chatbot Using ChatGPT to build a truthful chatbot and avoid “fake-proofing.” |
Course Content
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.
Workshops
As part of our course, students will participate in a number of interactive workshops where they will brainstorm college essay topics, discuss ethics with their classmates, and come up with their own AI Research Ideas. Students have many opportunities to learn from and be inspired by our team members’ diverse backgrounds and areas of expertise — from Instructor Spotlights, where teachers walk students through their academic and professional journeys, to the College + Career panel on our final day, where parents and students can freely ask questions of the team.