A4
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Programs
Introduction to ML
Advanced Topics in ML
Seasonal Camps
Mentorship
FAQ
Contact
Sign Up
Training the next generation of machine learning scientists
Exclusively for high-school students.
Taught by Stanford lecturers and TAs.
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Accelerate your journey into ML
We believe that solving next-generation problems starts with educating the youth who will run it. We organize intensive programs that help students with no machine learning experience become competent ML engineers.
Who is it for?
A4 offers programs for various ages. Most group programs are for high-schoolers who have taken algebra 2 (or equivalent) and at least one computer science course.
Where are programs located?
A4 programs are held at various locations throughout the Bay Area. For details, see the programs page.
What program should I start with?
Most students should begin by enrolling in the introductory track of one of the weekend camps or one of the two-week programs. See the programs page for more info.
A world-class team
We believe the best instructors bring domain-specific expertise as well as a history of excellence in education. For this reason, all our instructors are both experts in machine learning and experienced teachers, with backgrounds in academia, industry, and more. Meet some of them below.
Nick Hirning
Nick Hirning
Nick works at a startup called Sage Digital, which applies machine learning models to location data. Nick is currently pursuing a degree in CS from Stanford.
Nitya Mani
Nitya Mani
Nitya does research in and has been a teaching assistant for courses on graphs, optimization, and machine learning. She is currently pursuing a PhD in mathematics from MIT.
Shreya Shankar
Shreya Shankar
Shreya does research in machine learning security and has published a few papers in AI conferences. Previously, she worked at Google Brain and earned her computer science degree from Stanford University.
Reese Pathak
Reese Pathak
Reese previously served as the Stanford lecturer for convex optimization, a course on the mathematics behind machine learning. He is currently pursuing a PhD in theoretical CS at Berkeley.
Accessible programs for all ages
We offer a variety of different programs to fit every student’s needs. Here are just a few of our offerings.
Introduction to Machine Learning
Our signature weekend-long offering covers everything from fundamental linear algebra skills to a brief introduction to neural networks.
Advanced Topics in Machine Learning
Weekend-long programs on specific advanced topics which vary from offering to offering. Past subjects include deep learning, ML theory, and more.
Mentorship
Interested in developing a small project or want to learn one-on-one? Instructors can work with students on research projects, mobile apps, specific ML topics, and more!
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Programs
Introduction to ML
Advanced Topics
Seasonal Camps
Mentorship Program
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