For ambitious young learners
Deep AI Literacy.
Built from First Principles.
A comprehensive journey from mathematical foundations to cutting-edge deep learning. Not a surface-level overview — real understanding, with code, math, and intuition.
What You Will Learn
From the math that makes AI work to building and training your own models — everything you need for deep, lasting understanding.
Math Foundations
Linear algebra, calculus, probability — the math behind every AI system.
Hands-On Coding
Python, NumPy, PyTorch — build models from scratch, not just import them.
Machine Learning
From linear regression to XGBoost, understand every classical algorithm.
Deep Learning
CNNs, Transformers, GANs, Diffusion — the architectures powering modern AI.
Competition Prep
USAAIO & IOAI focused practice sets and mock exams.
Companion Book
Integrated reading from AI history to ethics, neuroscience to philosophy.
Introduction to Machine Learning and AI
40 lessons across 4 modules. One academic year of structured, deep learning — from vectors to Vision Transformers.
Mathematical Foundations
11 lessons
CS & Programming
8 lessons
Machine Learning
10 lessons
Deep Learning, CV & NLP
14 lessons
Who Is This For?
Competition Students
Preparing for USAAIO, IOAI, or science olympiads that include AI/ML topics.
Curious Learners
High school or early college students who want to truly understand AI, not just use it.
Future Builders
Students planning CS/AI majors who want a head start with real depth.