The Machine Learning Bootcamp
Exclusively for Bay Area high-school students.
Taught by Stanford lecturers and TAs.
Join Mailing List
Accelerate your journey into machine learning.
In the last 5 years, the number of jobs in machine learning
has increased by a factor of 10.
A4 Bootcamps are always taught by graduate students in the Department of
Computer Science at Stanford. Our instructors are passionate about
educating the next generation of machine learning scientists. A4 is proud
to offer intensive weekend-long bootcamps on a variety of machine learning topics!
We hold bootcamps on the second weekend of every month, starting in March 2019. Registration is open for March 9-10, April 13-14, and May 11-12.
Who is it for?
High school students with 1 CS course of experience, or equivalent.
The Cubberley Community Center in Palo Alto. Room details will be sent out prior to the bootcamp.
Build skills that you can apply anywhere.
Students will learn the fundamental principles behind machine
learning, specifically focusing on supervised learning. These
principles include featurization, model evaluation, parameter
tuning, regularization, and much more.
In addition, students will become familiar with a variety of
Python libraries, such as NumPy, Scikit-learn, and Keras. A more
detailed curriculum as well as optional pre-bootcamp reading will
be sent to all registered participants the week before the bootcamp.
Ready to secure a spot for our next bootcamp? Register with the link below.
During bootcamps, students will be provided with a variety of
open-source and proprietary datasets. Some examples of projects are
predicting malignancy of tumors based on breast cancer
data, detecting bias in natural language text, and predicting
a customer's future purchases based on their shopping history.
During the second day of the bootcamp, we will allow
students to develop their own projects and receive feedback on
For information on opportunities after the bootcamp,
see our FAQ.
See the FAQ
Spots are limited to maximize individual instruction.
~1 Month Before
Early-bird signups close.
Early-bird promotions end at 11:59 PM on the 15th of the month prior to the bootcamp. Every early-bird registrant will receive $50 off the bootcamp price, so sign up early!
Registration closes permanently on Monday at 11:59 PM, the week of the bootcamp.
1 Week Before
3 Days Before
Logistics emailed out.
All logistics for the bootcamp will be emailed out the Wednesday
prior to its start. This will include specific instructions for
finding the location, as well as recommended review material
to prepare for the bootcamp.
A4 Bootcamp begins!
Please arrive 15 minutes prior to the start time so we can get started right at 8:30 AM. Instructors will be there 30 minutes early to answer any questions and help fill out last-minute waivers. Detailed schedules for the day will be available as well.
Meet our team of Stanford lecturers, graduate students, and teaching assistants.
Hometown:Seattle, WAUndergrad:Math/PhysicsMasters:AI/SystemsWorked At:AmazonFun Fact:
Developed part of the Seattle Public Schools curriculum.
Hometown:Saratoga, CAUndergrad:MathMasters:CS TheoryWorked At:Jane StreetFun Fact:
Taught math to previous IMO and USAMO medalists.
Hometown:Bryan, TXUndergrad:CSMasters:AIWorked At:Google BrainFun Fact:
Co-authored a paper on using machine learning to trick humans with images.
Hometown:Portland, ORUndergrad:CSMasters:AIWorked At:DE ShawFun Fact:
Served as a lecturer for a Stanford course on the math behind ML.
Interested in getting further involved with A4? See our ambassador program.
High-quality instruction, accessible curriculum, and all at a reasonable price.
Registration fee for one student.
The price shown above is before processing fees and discounts are applied. Processing fees are generally ~$17. Discounts will be refunded to your card.
Signing up more than 1 month in advance receives $50 off as part of our early-bird promotion.
Get $50 off
if you refer or are referred by a friend! Referred student must not have previously attended any A4 workshops. Enter name of referrer in the registration form. Maximum discount capped at $100.