Basic AI Math is a rigorous, self-paced course on the mathematics behind modern artificial intelligence. One unit, eight topics: why AI is really math; numbers as meaning (vectors and embeddings); measuring likeness (the dot product and distance); matrices; slopes and gradients; gradient descent; probability; and backpropagation. Every lesson is available at three depths, backed by a section-scoped AI tutor, adaptive practice, and AI-graded homework, a unit test, and a final exam. Sign in with Google to take the course.