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Designed for high school students

Designed for high school students

Machine Learning @ Berkeley - Ignite

Machine Learning @ Berkeley - Ignite

Machine Learning @ Berkeley - Ignite

Are you a local Bay Area high school student looking to explore machine learning for the first time? Join Machine Learning @ Berkeley for our Intro to ML bootcamp on April 11-12th, hosted by UC Berkeley students!

We especially encourage students from underrepresented backgrounds in STEM to apply.

No CS or ML experience required!

Deadline to apply is April 5th!

Are you a local Bay Area high school student looking to explore machine learning for the first time? Join Machine Learning @ Berkeley for our Intro to ML bootcamp on April 11-12th, hosted by UC Berkeley students!

We especially encourage students from underrepresented backgrounds in STEM to apply.

No CS or ML experience required!

Deadline to apply is April 5th!

Apply Now

Apply Now

Agenda

Introduction to Python

Introduction to Python

Learn about the basics of writing Python code, including variables, loops, functions, and basic data structures, and build your own TypeRacer project

Agenda

Guest Speaker Spotlights

Hear from a panel of ML@B students about life at UC Berkeley and researchers working at Berkeley AI Research and learn what it takes to succeed in a machine learning career!

Agenda

Guest Speaker Spotlights

Hear from a panel of ML@B students about life at UC Berkeley and researchers working at Berkeley AI Research and learn what it takes to succeed in a machine learning career!

Agenda

Introduction to SciKit-Learn and Data Science Basics

Explore ML algorithms like K Nearest Neighbors, Decision Trees, and Linear Regression using the scikit-learn package, as well as the basics of processing your data for machine learning projects with NumPy and Pandas.

Agenda

Machine Learning Projects

Apply your new Python and ML knowledge to build a project tackling a real-world problem. Projects will be mentored by ML@B students and will involve finetuning foundation models or creating your own regression and classification models.

Agenda

Guest Speaker Spotlights

Hear from a panel of ML@B students about life at UC Berkeley and researchers working at Berkeley AI Research and learn what it takes to succeed in a machine learning career!

Agenda

Introduction to SciKit-Learn and Data Science Basics

Introduction to SciKit-Learn and Data Science Basics

Explore ML algorithms like K Nearest Neighbors, Decision Trees, and Linear Regression using the scikit-learn package, as well as the basics of processing your data for machine learning projects with NumPy and Pandas.

Agenda

Machine Learning Projects

Apply your new Python and ML knowledge to build a project tackling a real-world problem. Projects will be mentored by ML@B students and will involve finetuning foundation models or creating your own classification models.

Agenda

Machine Learning Projects

Apply your new Python and ML knowledge to build a project tackling a real-world problem. Projects will be mentored by ML@B students and will involve finetuning foundation models or creating your own regression and classification models.

Our Mission

About Our Team!

About Our Team!

Machine Learning at Berkeley (ML@B) is a student-run organization based at the University of California, Berkeley, dedicated to building and fostering excellence in ML. Our education team in particular is very excited about initiatives like this bootcamp that help to spread machine learning and computing resources to students who might not have the resources to learn about it in school. All students contributing to this camp are volunteers and are very passionate about giving back to the community.

Machine Learning at Berkeley (ML@B) is a student-run organization based at the University of California, Berkeley, dedicated to building and fostering excellence in ML. Our education team in particular is very excited about initiatives like this bootcamp that help to spread machine learning and computing resources to students who might not have the resources to learn about it in school. All students contributing to this camp are volunteers and are very passionate about giving back to the community.

Testimonials

45 students attended last year!
Here's what they have to say:

45 students attended last year!
Here's what they have to say:

“I really liked how they went in depth about every single thing and how inclusive the camp was. I have never coded before and I did not feel stupid or left [out] once because of it.”

“I liked the friendly environment of the bootcamp…and hear[ing] from the panel of ML@B students about life at Cal and their passions for machine learning.”

"It was a great experience because I learned a lot about I can apply ML to everyday life as well as advancing the science world and maybe my personal interests as well."

"It was a great experience and I enjoyed it thoroughly. Great food and great people and also great topics :D"

Schedule coming soon!
Apply by April 5th.

Schedule coming soon!
Apply by April 5th.
Schedule coming soon!
Apply by April 5th.


Apply Now

Apply Now

Apply Now

© 2026 Machine Learning @ Berkeley

© 2026 Machine Learning @ Berkeley

© 2026 Machine Learning @ Berkeley

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