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.

A group of students work together during the Artificial Intelligence teen research program

Program Info

Session 1 is intended for teens with and without prior Python coding experience. Sessions 2 and 4 are intended for teens with some prior Python coding experience.

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

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!

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.

Staff Bios

Jishan Jiang

Jishan Jiang, a rising junior at UC Berkeley, is pursuing a double major in Legal Studies and Data Science, complemented by a minor in Education. She is interested in learning designs, curriculum development, data ethics, educational policies and K-12 STEM education. With aspirations to become an educator and researcher, Jishan aims to harness the transformative power of education to uplift and empower underserved communities.

Jishan grew up in Suzhou, China. In her free time, she enjoys spending time with her cat and cooking with her friends.

Naomi Yonas

Naomi Yonas is a rising Senior studying Electrical Engineering & Computer Science at UC Berkeley. Her specific interests are connecting artificial intelligence, education, and social justice to combat systemic biases. She believes technology should be equitable and accessible for everyone of all backgrounds.

In her free time, she loves to read books, take long outdoor walks, and ponder about anything.

Tim Hurt

Tim Hurt is a science curriculum developer and researcher at the Lawrence Hall of Science. He has been an educator for the past 10 years, has experience teaching all grades K–12, and has led UC Berkeley’s AI4ALL since 2019. He has developed curricula for grades K–12 with materials covering physics, engineering, and space science. He currently works on projects related to developing and researching AI exhibits for the Lawrence Hall of Science. Tim has both an undergraduate degree in Physics and a Masters in Information and Data Science, from the University of California, Berkeley.