AI PROGRAM FOR HIGH SCHOOL STUDENTS
Go from AI user to AI builder in six days.
Learn the foundations of machine learning and modern AI, from neural networks to AI agents. Then build, deploy, and present your own AI app with a mentor from Stanford by your side.
How the Program Works
DAYS 1-3
Learn the AI builder’s toolkit
Through talks, interactive activities, and hands-on Python labs, you’ll learn machine learning, neural networks, natural language processing, and AI agents, building a working app in each module.
DAYS 4-6
Build your AI/ML for Social Good Project
Join a small project group with a dedicated instructor. Explore data, build and evaluate a model, then deploy your own AI app and present it on Demo Day.
See what building AI in Silicon Valley looks like
Follow students from their first lines of Python to Demo Day.
Leah Belsky
VP and GM of Education at OpenAI
Parent of Inspirit AI Alum
“My son started with Inspirit in a fall after school program in middle school and then attended camp. What we love about the program is the combination of core skill building + applied projects as well as the amazing teachers. They have inspired a love of tech and building with Python and generative AI tools, and we are super grateful.”
Build an AI Project in a Field You Care About
Our team of graduate student instructors from Stanford, MIT and other leading universities have diverse academic and professional experiences and mentor AI projects in a variety of domains. Students work in small groups to implement their mentor-led socially impactful AI project.
AI +
Healthcare
Astrophysics
Engineering
Sustainability
Media
Entrepreneurship
Finance
Education
Law
Sports
and more
Project Highlights for 2027
TruthLens: Deepfake Detection
Building and testing computer vision models to detect deepfakes and AI-generated media while examining their impact on digital security.
AI + Healthcare:
Precision Medicine in Colorectal Cancer
Automating the classification of colorectal tissue types to reduce diagnostic variability.
Problem to Prototype:
Build a Personalized AI Assistant
Identifying a real-world problem and designing a personalized AI assistant to address it, using OpenAI’s models and tools.
AI + Investing: Detecting Meme-Stock Surges from Social Media
Building NLP models to analyze social media sentiment and its influence on stock prices, while exploring ethical considerations.
AI + The Future of Work: Analyzing Job Exposure to Gen AI
Analyzing how generative AI impacts the workforce by measuring job exposure to automation and producing a policy or career brief on reskilling and adaptation.
Moneyball: AI, Sports, and Business
Using machine learning to analyze baseball statistics, identify predictors of success and undervalued players, and make data-driven decisions.
Program Overview
Learn the AI builder’s toolkit, explore Silicon Valley, then build and present your own app.
Field trips built into the week
Step out of the classroom and see AI at work, then bring what you learn back to your project.
Stanford University
Tour campus with AI PhD candidates and hear what research at a leading AI university looks like.
AI Startup Visit
Tour campus with AI PhD candidates and hear what research at a leading AI university looks like.
STUDENTS HAVE GONE INSIDE
Meet Inspirit AI Faculty Members
Our team consists of alumni and graduate students from Stanford University who have done cutting-edge research, and have founded several AI startups that have been acquired by large tech corporations.
Dr. Kuan-Chuen Wu
Stanford Master’s · Harvard Bachelor’s
Dr. Akshay Jagadeesh
Stanford PhD · UC Berkeley Bachelor's
Dr. Brianna Chrisman
Stanford PhD in Biomedical Engineering
