AI Scholars Program Overview
AI Scholars Live Online is a 10 session (25-hour) artificial intelligence bootcamp that exposes high school students to fundamental AI concepts and guides them to build a socially impactful project. Taught by our team of graduate students from Stanford, MIT, and more, students receive a personalized learning experience in small groups with a student-teacher ratio of 5:1.
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.”
Student Outcomes
A Project-Based Intensive in Artificial Intelligence
AI Programming
Learn fundamental AI concepts and hands-on programming skills towards building with AI.
AI for Social Good Project
Work on a mentor-led AI project in a meaningful domain of your choice, and launch your own app.
AI Careers and Ventures
Discover AI careers and ventures in industries through instructor research spotlights.
Pre-College Preparation
Participate in college prep and project positioning workshops for top US colleges and internships.
Program and Application Information
Prerequisites
High School Students (Grades 9 to 12) or equivalent. Middle School Students apply here.
No prior programming or computer science required, but an interest in AI is appreciated!
Advanced cohorts are available for students with prior experience.
Program Fees
Program Fee: USD $1400
(all inclusive)
Admitted students will be emailed a link for online payment.
Payment plans available.
Application Deadlines
Fall 2026: October 15, 2026
Winter 2026: November 15, 2026
Applications are processed on a rolling basis. Limited seats.
AI Scholars 2026 Program Schedule
The program runs for 10 sessions of 2.5 hours each (25 hours total) of live online, small-group learning.
All times for virtual programs are listed in Pacific Time. Please adjust for your time zone.
Winter Schedule
Winter 1: Daily, December 19th to December 30th, 2026 (no class on December 24th and 25th), 8:00am to 10:30am (Pacific Time)
Winter 2: Daily, December 19th to December 30th, 2026 (no class on December 24th and 25th), 12:30pm to 3:00pm (Pacific Time)
Winter 3: Daily, December 19th to December 30th, 2026 (no class on December 24th and 25th), 7:00pm to 9:30pm (Pacific Time)
Winter 4: Daily, December 26th, 2026 to January 5th, 2027 (no class on January 1st), 8:00am to 10:30am (Pacific Time)
Winter 5: Daily, December 26th, 2026 to January 5th, 2027 (no class on January 1st), 12:30pm to 3:00pm (Pacific Time)
Winter 6: Daily, December 26th, 2026 to January 5th, 2027 (no class on January 1st), 7:00pm to 9:30pm (Pacific Time)
Spring Schedule
Spring 1: Every Thursday, January 14th to March 18th, 2027, 4pm to 6:30 pm (Pacific Time)
Spring 2: Every Friday, January 15th to March 19th, 2027, 7pm to 9:30pm (Pacific Time)
Spring 3: Every Saturday, January 16th to March 20th, 2027, 8am to 10:30am (Pacific Time)
Spring 4: Every Saturday, January 16th to March 20th, 2027, 12:30pm to 3pm (Pacific Time)
Spring 5: Every Sunday, January 17th to March 21st, 2027, 8am to 10:30am (Pacific Time)
Spring 6: Every Sunday, January 17th to March 21st, 2027, 12:30pm to 3pm (Pacific Time)
Summer Schedule
Weekday cohorts meet Monday-Friday for two weeks
Dates available:
June 7th to June 18th, 2027
June 21st to July 2nd, 2027*
July 5th to July 18th, 2027
July 19th to July 30th, 2027*
August 2nd to August 13th, 2027
August 16th to August 27th, 2027*
Times available:
8:00am - 10:30am (Pacific Time)
12:30pm - 3:00pm (Pacific Time)
7:00pm - 9:30pm (Pacific Time)
5:00am - 7:30am (Pacific Time)*
*This time is available for the June 21, July 19 and Aug 16 session only.
Weekend cohorts meet Saturdays & Sundays for five weeks
Dates available:
Every Saturday and Sunday, June 5th to July 4th, 2027
Every Saturday and Sunday, July 10th to August 8th, 2027
Times available:
8:00am - 10:30am (Pacific Time)
12:30pm - 3:00pm (Pacific Time)
7:00pm - 9:30pm (Pacific Time)
AI for Social Good Project Tracks
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TruthLens: Deepfake Detection
Building and testing computer vision models to detect deepfakes and AI-generated media while examining their impact on misinformation and digital security.
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SmokeSignal: Early Wildfire Detection
Developing AI models to detect early wildfires and assess risk while addressing the challenges of reliable, life-critical deployment.
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AI and 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.
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AI + Healthcare: Precision Medicine in Colorectal Cancer
Automating the classification of colorectal tissue types to reduce diagnostic variability.
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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.
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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 the ethics of algorithmic trading and market manipulation.
Perspectives from Inspirit AI Alumni at Leading Colleges
Hear from Inspirit AI alumni about their perspectives on how the AI Scholars program has impacted their college and career journeys.
AI Scholars Curriculum Overview
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AI Scholars is a 10-session experiential bootcamp where students learn fundamental AI concepts and applications, build with modern tools, and create and deploy their own AI web app in a domain of their choice.
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Students will receive optional preparation materials to help them get the most out of the program once they begin. This will include a Python and AI basics video series, and other short readings.
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Students with prior programming or AI experience will leverage their skills to explore more advanced topics in AI and machine learning, and take on more technically rigorous projects with stronger coding expectations.
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Students gain access to our Learning Portal with Python preparation materials, coding assignments, additional AI projects and more. The portal consists of 5+ complete AI projects in domains such as healthcare, economics, and media, for students to continue their AI journey!
First Half of Program (Sessions 1 - 5)
During the first half of the program, students will explore applications, foundational AI concepts, and develop AI programming skills. Students are able to participate in discussions about modern AI technologies as a group, work on hands-on coding assignments individually, and share their efforts by sharing their screen with the rest of the class.
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We will start each day with a session on applications. E.g. “How does Alexa work?”, “How can AI improve the environment?”
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We will cover the conceptual intuition and some math behind important Machine Learning algorithms. Examples include Neural Networks, Decision Trees, Logistic Regression.
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We will guide students to implement mini-projects using Python. E.g. Classifying cells as cancerous or health, classifying restaurant reviews as positive or negative.
Second Half of Program (Sessions 6 - 10)
During the second half, students will apply the AI programming skills they learned in part 1 on a mentor-led AI for Social Good project and go through college and career preparation workshops as well. In addition to technical AI work, students participate in discussions about the ethics of AI, an AI panel, and a final presentation showcase, leading to an overall rich social experience.
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Students work in small groups with mentor guidance to build a hands-on, socially impactful project, culminating in the deployment of their own custom live app. They’ll explore real-world applications across different domains, choose from a range of project paths, build a project portfolio they can showcase to parents, instructors, and future college or internship opportunities.
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Workshops will include gaining inspiration from college admissions essays from our instructors, preparing for top-ranked CS/AI programs in the U.S., and exploring ventures and careers in technology. Students will also learn how to position their project work on platforms like GitHub and LinkedIn, as well as on resumes and portfolios. The workshop series will also feature instructor spotlights on their research and industry experience.
Access to the Inspirit AI Learning Portal
AI Scholars students gain access to a robust library of resources to support their journeys as they learn, grow, and prepare for a future shaped by AI. With additional projects, college preparation resources, and 50+ AI research talks, the Inspirit AI Continuous Learning Portal equips students with the knowledge and skills needed to excel in AI and beyond.
Advance with 1:1 AI Research Mentorship
After students complete the AI Scholars program, they can continue their AI learning journey through a variety of additional program offerings for returning students. We offer a 1:1 AI + X Individual Research Project, as well as several Deep Dives courses, all of which equip students with graduate-level AI programming and research skills.
