AI Innovators (Highschool AI Bootcamp)
Learn the fundamentals of Python, Data Science, Artificial Intelligence with real-world projects
Built for students who:
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Are interested in pursuing computer science and building a strong foundation in data science and machine learning.
- Want to understand how AI is being used all around you and how to build their own AI applications from scratch.
Dates (Virtual, EST):
Winter 2025: Jan 12 - March 16, 2025
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~3 hours/week for 10 weeks
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Lectures: Sundays, 6-8pm EST
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Office Hours: Wednesdays, 7-8pm EST
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Format: Virtual
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Student to Mentor Ratio: 5:1
Price: $800
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What Students Learn
Our Approach:
Through our hands-on approach of interactive lessons, coding challenges, and real-world mini-projects, you'll:
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Learn Python programming from the fundamentals
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Explore data science and AI techniques using libraries like NumPy, Pandas, and TensorFlow
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Start building your portfolio, including an AI capstone project you'll build from scratch
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Develop problem-solving skills to tackle complex challenges with AI
Winter 2025 Instructors
Capstone Projects
The program culminates with our final capstone project where students pick a topic they find exciting and execute an AI research project from scratch working in groups of 3-4.
In the final session, each group gives a final presentation showing off their work, and gets feedback from our team.
Here are some previous capstone projects students have completed during the program.
Hear From Our Students:
July 2024
"Before I didnt understand how machine learning actually works but now I could teach it to someone else"- Ayaan (AI Innovator's Summer Cohort 2025)
July 2024
"The most important skill I got was working with teammates to communicate and build a project together"- Neo (AI Innovator's Summer Cohort 2025)
July 2024
"I was able to build on my previous Python experience to now actually build solutions to real-world problems - Rishika
July 2024
"This program covered more machine learning material than my Master's from Boston University!!" - Raja (Senorena's Dad)
Details
Winter 2025 Cohort: Jan 12 - March 16, 2025
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Lectures: Sundays, 6-8pm EST
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Office Hours: Wednesdays, 7-8pm EST
Student Experience Levels:
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We prefer students who've previously taken a Python, Java, or C++ coding course before but it's not a hard requirement.
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All students will complete a ~10-hour self-paced intro to Python course before the program kicks off.
Attention:
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5:1 Student-to-instructor ratio.
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1-on-1 mentor guidance on demand.
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Anytime support over Slack
Grades:
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Open to current 9th-12th graders
Pricing:
$800
If cost is a barrier to entry, need-based financial aid is available on request.
FAQ
What if my child has never coded before?
That's fine! We send an intro to Python course for students to work on before the program begins.
How big are classes?
How can you cover so many topics in just 30 hours?
Our cohorts have a five students to one mentor ratio. Students spend a lot of time in small groups working on activities and projects. We also have bigger group meetings for lectures, but the majority of time will be spent with your cohort.
We believe in learning by doing. Rather than getting stuck in college-level math theory, we'll give you a crash course on the topic, and students truly grasp concepts through analogies & examples as well as applying them to real-world situations immediately. Prior math knowledge in statistics, calculus, and linear algebra is a nice bonus but not required.
How's this different from other programming/AI classes?
Unlike many other programs that follow a formulaic approach focused on memorization of code syntax, our programs emphasize developing a problem-solving mindset. We focus on the big ideas, providing conceptual frameworks and tools to tackle complex problems. This problem-solving mindset is an evergreen skill, rather than just memorizing code snippets that may quickly become outdated.
Who's teaching?
All our classes are taught by previous participants of the Intel International Science and Engineering Fair (ISEF) who completed an advanced AI project. We believe this hands-on experience successfully solving real-world problems with AI is better qualification than simply completing a course or acing an exam. It shows our instructor's proven ability to apply AI concepts to real problems, not just understand the theory.
We all also have significant experience mentoring students, and we've helped over 115 students learn AI and do research projects over the last two years.
Why not just take a free online AI course?
For some students, we do recommend taking an online course. However, there are key benefits to learning through our live classes:
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Interactive format with hands-on activities and immediate feedback
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Ability to get all your questions answered in real-time
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Personalized mentorship from instructors with proven AI research experience
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It's more fun! You'll have the opportunity to collaborate and learn alongside peers