Linear Algebra for AI - From Arrows to Attention
This is a linear algebra course that explores the meaning of vectors and matrices through illustrations and works through calculations using small examples. It covers the mathematics used in linear regression, PCA, SVD, tensors, and attention step by step. No programming knowledge is required.
77 learners
Level Basic
Course period Unlimited
We’re releasing a new “Linear Algebra for AI” course tomorrow morning.
Hello, this is Coding Max.
We plan to fully upload the new course “Linear Algebra for AI,” which we announced last time, tomorrow morning (October 29, 2026).
Thank you to everyone who has been waiting.
This course includes extensive foundational explanations so that even those encountering linear algebra for the first time can follow along step by step. It breaks down everything from the basic concepts of vectors and matrices to matrix multiplication and notation, while also covering where what you learn is actually used in practice.
Additionally, the course includes the following five projects, allowing you to follow how the concepts of linear algebra lead to real-world technologies.
3D rendering pipeline — the process by which 3D objects are drawn on a 2D screen
Linear regression
Image Compression Using SVD
Recommendation Systems
Attention — The core architecture of language models
I hope this helps you go one step beyond learning how to calculate and understand “why you’re learning this and where it’s used.”
The existing lecture videos and course materials will all be deleted when the new lecture is uploaded.
If you need the existing materials, please download them in advance before the upload tomorrow morning.
We sincerely thank everyone who has listened to the lectures and waited for the new ones. 🙇♂️
Sincerely, Coding Max




