Entering 10 – 12

Artificial Intelligence for Real-Life Problem Solving

Artificial Intelligence (AI) is increasingly impacting our day to day lives, but how does it work? In this program, you will explore cutting-edge AI technologies and concepts as you learn about ongoing artificial intelligence research from Berkeley scientists and experts. You’ll develop your skills through hands-on coding workshops, creating machine learning models, and understanding of the mathematical concepts underpinning AI. You will gain skills and knowledge about artificial intelligence while adding valuable experience to your college and career pathways. 

This program is in partnership with the Berkeley Artificial Intelligence Research (BAIR) Lab.

Parents are invited at 3 p.m. on the last day for teens to share their projects.

Program Info

Session 1 is intended for teens with and without prior Python coding experience. The first couple of days will be spent on an introduction to Python followed by AI projects applying the skills. Sessions 2 and 4 are intended for teens with some prior Python coding experience. They will do a quick Python refresher on Day 1 and then launch into AI projects.

Food: Lunch is provided. Teens bring a water bottle and snacks from home.
Time: 9:00 a.m. to 5:00 p.m. Monday – Friday
Tuition: $1,465.00
Seeking Financial Aid? Learn More >

Session 1: 06/23/2025 – 06/27/2025
No Residential Option

Session 2: 07/07/2025 – 07/11/2025
Optional Residential Add-on runs Sunday, July 6, 5:00 p.m. to Friday, July 11, 5:00 p.m. Residential add-on includes additional programming, on-campus housing, breakfast, and dinner. Limited spots available!
Residential Tuition: $1,255

Session 4: 07/21/2025 – 07/25/2025
Optional Residential Add-on runs Sunday, July 20, 5:00 p.m. to Friday, July 25, 5:00 p.m. Residential add-on includes additional programming, on-campus housing, breakfast, and dinner. Limited spots available!
Residential Tuition: $1,255

Activity Highlights

  • Explore the mathematical concepts underlying AI systems
  • Learn Python and apply these technical skills to AI
  • Hear from AI graduate students working on cutting edge AI applications
  • Learn about and design machine-learning models
  • Unpack and debate the ethics of AI
  • Robotics lab tour focusing on human-compatible AI solutions
  • Meet and mix with teens across other STEM tracks
  • Meet and talk to students and STEM career professionals

AI Explorations: Navigating Innovation in the World of Artificial Intelligence.

Sample Day

7:30 a.m.

Wake-up for residential teens!  Residential teens enjoy breakfast & walk together to campus

9:00 a.m.

All teens sign in with instructors
Welcome activities and icebreakers
Opening Circle- group check-in and framing the day
Explore STEM concepts and hands-on investigations in your track
Mid-morning break with teens from other tracks
Hands-on investigations and exploration cont.

11:45 a.m.

Lunch break in campus cafeteria Social time with teens from other tracks

12:45 p.m.

Continued investigations and explorations in your track
Various lab tours and guest speakers
Afternoon break with teens from other tracks
Closing Circle- reflection prompts and preview of what’s ahead

 4:00 p.m.

College Pathways Programming
Campus or other tours 
Meet and talk to current college students 
Meet and talk to professionals from a range of STEM career fields

 5:00 p.m.

Commuter teens sign out with instructors
Residential teens walk together to dorms and enjoy some well deserved downtime 

 6:30 p.m.

Dinner
Evening program 
Free time

10:00 p.m.

Lights Out!

Staff Bios

Srinidhi Karuppusami

Srinidhi Karuppusami is an undergraduate at UC Berkeley majoring in Applied Mathematics and minoring in Science and Math Education. She’s done data science coursework through her applied math major and has spent a summer working with genomics data at Berkeley Lab. As a peer advisor at Berkeley Career Engagement, she’s loved connecting with peers and hosting career development workshops. In K-12 classrooms, she cares about pushing students to make sense of, instead of just find answers to, technical problems and hopes that more students will feel confident to be critical of technology. 

In her free time, she likes to journal, spend time in nature, listen to music, and cook.

Jaime Choy

Jaime is a 4th year undergraduate at at UC Berkeley majoring in Statistics and minoring in STEM education. In the near future, she will be pursuing her teaching credential with the CalTeach program. As a private tutor, Jaime is passionate about showing students the real-world relevance and utility of math. She is eager to contribute to the Lawrence Hall of Science’s mission of inspiring the next generation of STEM learners. 

Jaime enjoys spending her free time eating hotpot with family and friends and playing video games.

Juan Villalobos

Juan Villalobos is a passionate and self-motivated individual, with expertise in Python, PyTorch, and TensorFlow. He has experience developing AI solutions for targeted marketing campaigns at AXM (Ars X Machina), improving data integrity for the UCSD Autism Center, and optimizing operations at Genentech. Juan has worked on various projects, including AI-powered image retrieval systems, predictive modeling, and CNN-based image classification. Juan holds a Bachelor’s in Machine Learning and Neural Computation from UC San Diego and is fluent in English and Spanish. 

In his spare time you can catch him cooking food, exploring new areas (to eat food), and hiking.