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.
Student Outcomes
A Project-Based Intensive in Artificial Intelligence
AI Programming
Learn fundamental AI concepts and programming skills through hands-on ML coding activities.
AI for Social Good Project
Work on a socially impactful, mentor-led AI project in a domain of your choice such as healthcare, art, etc.
AI Careers and Ventures
Discover AI careers and ventures in industries through instructor research spotlights
Pre-College Preparation
Participate in college-prep workshops on preparing for leading CS programs in the US.
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 $1200
(all inclusive)
Admitted students will be emailed a link for online payment.
Payment plans available.
Application Deadlines
Winter 2024: November 30, 2024
Applications are processed on a rolling basis. Limited seats.
Spring 2024: December 15, 2024
AI Scholars 2024 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
Cohorts meet daily for 10 sessions during a 2-week period.
Winter 1: December 16th to December 27th, 2024: 8:00am-10:30am PT
Winter 2: December 16th to December 27th, 2024: 12:30pm-3:00pm PT
Winter 3: December 16th to December 27th, 2024: 7:00pm-9:30pm PT
Winter 4: December 26th, 2024 to January 5th, 2025: 8:00am-10:30am PT
Winter 5: December 26th, 2024 to January 5th, 2025: 12:30pm-3:00pm PT
Winter 6: December 26th, 2024 to January 5th, 2025: 7:00pm-9:30pm PT
No classes on December 24, December 25, or January 1.
Spring Schedule
Cohorts meet once/week for 10 weeks.
Spring 1: Thursdays, January 16th to March 20th, 2025: 4:00pm-6:30pm PT
Spring 2: Fridays, January 17th to March 21st, 2025: 7:00pm-9:30pm PT
Spring 3: Saturdays, January 18th to March 22nd, 2025: 8:00am-10:30am PT
Spring 4: Saturdays, January 18th to March 22nd, 2025: 12:30pm-3:00pm PT
Spring 5: Sundays, January 19th to March 23rd, 2025: 8:00am-10:30am PT
Spring 6: Sundays, January 19th to March 23rd, 2025: 12:30pm-3:00pm PT
Summer Schedule
Select one of the dates and times below.
Dates Available: Weekday
Meets daily Monday-Friday for 2 weeks
June 2 - June 13
June 16 - June 27
June 30 - July 11
July 14 - July 25
July 28 - August 8
August 11 - August 22
Dates Available: Weekend
Meets Saturdays & Sundays for 5 weeks
June 7 - July 6
July 12 - August 10
Times Available:
8:00am - 10:30am PT
12:30pm - 3:00pm PT
7:00pm - 9:30pm PT
5:00am - 7:30am PT*
*This time is available for the June 16, July 14 and Aug 11 session only.
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.
How Live Online Sessions Work
Personalized Instruction
With a student-teacher ratio of 5:1, students receive personalized instruction and guidance; Students participate in discussions about modern AI technologies, work on hands-on coding assignments, and receive continuous feedback through live screen share.
Collaborative Learning
Students work closely with their peers throughout AI demos and activities and work with multiple instructors during the program. In addition to technical AI project work, students attend instructor research spotlights, present at a final showcase event.
Inspirit AI Learning Portal
Students gain access to Python preparation materials, coding assignments, additional AI projects through the portal. The portal consists of 5+ complete AI projects in domains such as healthcare, economics, media, for students to continue their AI journey after!
AI for Social Good Project Tracks
-
![ai healthcare project]()
AI + Healthcare
Using computer vision to diagnose patients based on medical scans such as X-rays.
-
![ai economics project]()
AI + Economics and Finance
Using machine learning to predict returns of portfolios and create optimal combinations of assets.
-
![ai mobility project]()
AI + Mobility
Using AI to create a safe and synchronized auto pilot system for cars.
-
![ai sustainability project]()
AI + Sustainability
Using AI to efficiently place energy creating sources (wind, solar, gas) across a country to maximize coverage.
-
![ai astronomy project]()
AI + Astronomy
Using data collected from NASA’s Kepler space telescope to train AI models to detect exoplanets.
-
![ai art project]()
AI + Arts and Music
Using Dall-E and generative AI as a model to build a sketch recognition project.
AI Scholars Curriculum Overview
-
The program typically runs as a 10-session experiential bootcamp that exposes students to fundamental concepts, applications of AI and guides them to work on a hands-on project in a domain of their choice.
-
Students will receive preparation materials in advance to help them get the most out of the camp once they begin. This will include a Python and AI basics video series, and other readings.
-
Students with previous programming/AI experience will cover more advanced topics including Object Detection (e.g. used in applications like Amazon Go), Generative Models (e.g. used to create anime characters), and advanced Neural Networks. They will also work on a project with more intensive coding prerequisites.
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.
Applications
We will start each day with a session on applications. E.g. “How does Alexa work?”, “How can AI be applied at Hospitals?”, “How can AI improve the environment?”
Conceptual Intuition
We will cover the conceptual intuition and some math behind important Machine Learning algorithms. Examples include Neural Networks, Decision Trees, Logistic Regression.
AI Programming Skills
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.
AI for Social Good Project
Students will work in small groups virtually to complete an AI project under the guidance of a mentor, and present their work to parents and instructors during the final showcase. Projects options will cover a variety of domains and AI techniques which students will choose from.
College and Career Workshops
Workshops will include gaining inspiration from college admissions essays from our instructors, preparing for top-ranked CS/AI programs in the US, and pursuing ventures or careers in AI. The workshop series will also include instructor presentations on their individual research areas.
What Comes Next: Continuous AI Learning Journey
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.
