Training the next generation of machine learning & AI scientists
Exclusively for high-school students.
Taught by Stanford lecturers and TAs.
Our upcoming offerings
Accelerate your journey into ML & AI
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 & AI engineers.
Who is it for?
A4 offers programs for various ages and skill levels. Most group programs are for high-schoolers who have taken algebra 2 (or equivalent) and at least one computer science course, though we also offer introductory programs with no prerequisites. For details, see the programs page.
When and where are programs?
A4 programs are held in-person throughout the Bay Area and remotely via Zoom. You can view per-program locations in the "Upcoming Offerings" table above. When in-person, programs are held over a single weekend. When remote, programs are held over four consecutive weekends, one 2.5-hour class each Sunday morning.
What program should I start with?
Most students should begin by enrolling in one of our level-1 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 and founders are both experts in machine learning and experienced teachers, with backgrounds in academia, industry, and more. Meet our founding team below.
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 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 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 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.
Student Success Stories
We are extremely proud of the work our students have been doing in A4 programs. Read about some of their accomplishments here.
As a part of the A4 mentorship program, high school senior Rohit Jammula worked on building an empirical evaluation metric for sorting the different deep learning models in funduscopy diagnosis, i.e. to determine whether an eye is healthy or has a specific disease: glaucoma, diabetic retinopathy, macular degeneration, etc.
His work began as a project during the 2019 A4 advanced summer program, Deep Learning in Computational Biology and was developed into an expanded research effort. The paper that arose out of this mentorship, Optimal Transfer Learning Model for Binary Classification of Funduscopies through Simple Heuristics was accepted for a poster presentation at the 2019 Machine Learning in Computational Biology (MLCB) Conference, where Rohit presented this past December in Vancouver, Canada.
Shiva Oswal is a USACO Platinum qualifier who has completed the majority of the A4 curriculum. In that time, he has built an array of exciting machine learning models, including using deep learning to identify epilepsy seizures. He was recently selected as a Spirit of Ramanujan fellow for his machine learning and computer science success. His machine learning work has included building multilayer convolutional networks with strong performance, implementing descent methods by hand, and applying a range of ML techniques to classify images and answer real world biomedical questions.
Prior to A4 and in his free time, he competes in trivia-based competitions such as Quizbowl and the National History Bee. Shiva also appeared on the game show Who Wants to be a Millionaire?, twice!