Reference · Official + learning links

Resources

Official competition links and curated free learning material, organized by module.

Official & logistics

USAAIO home

usaaio.org — the source of truth for dates & rules.

Official syllabus

The exact topic list this course is built from.

Past problems

Practice with real exam problems — highest priority from Dec on.

Contest rules

Format, proctoring, what's allowed.

Proctors

Must arrange a proctor site before registering.

2027 registration

Open now; closes Jan 31, 2027.

Learning material by module

M0 · Python & data

Math Academy (if it offers CS), official NumPy/pandas docs, Kaggle "Python" & "Pandas" micro-courses (free).

M1 · Math for AI

Math Academy (Linear Algebra, Calculus, Prob & Stats); 3Blue1Brown "Essence of Linear Algebra" & "Essence of Calculus" (YouTube).

M2–M3 · Classical ML

Andrew Ng Machine Learning Specialization (Coursera, audit free); StatQuest (YouTube) for intuition; scikit-learn user guide.

M4–M5 · Deep learning + CNN

3Blue1Brown "Neural Networks"; official PyTorch tutorials; Andrej Karpathy "Zero to Hero" (micrograd) for backprop by hand.

M6 · Transformers & NLP

Karpathy "Let's build GPT"; "The Illustrated Transformer" (Jay Alammar); Hugging Face course (free).

M7 · Generative AI

Hugging Face Diffusion course; "The Illustrated Stable Diffusion"; original VAE/GAN/DDPM explainer blogs.

How to use these Lectures in this course are the spine; the links above are for when Harper wants another angle on a hard idea. Don't try to consume everything — the lecture + practice + one video per topic is plenty.
Links are starting points; the nightly build will add specific lesson links inside each lecture as modules are written.