Section 1
Mathematical Foundations
Before an engineer can understand gradient descent, attention, or embeddings, they need a shared vocabulary: what a function is, what a graph shows, what a vector represents, and what matrix multiplication actually computes. This section builds that vocabulary from first principles, using AI-relevant examples instead of abstract textbook problems.
Chapters
6
Lesson Reading
3 hr 30 min
Labs
6
Interview Sets
6
Chapter Path
Chapter 1Numbers, Functions & Graphs45 minutesAcademy PassChapter 2Linear Algebra Essentials35 minutesAcademy PassChapter 3Vectors30 minutesAcademy PassChapter 4Matrices30 minutesAcademy PassChapter 5Matrix Multiplication30 minutesAcademy PassChapter 6Eigenvalues & Eigenvectors40 minutesAcademy Pass