Learn the Fundamentals of Linear Algebra for AI This course is intended for AI and Data Science professionals seeking a fundamental understanding of linear algebra for AI and data science use cases. This includes matrices and vectors, matrix operations, linear combinations, eigenvalues and eigenvectors, row reduction using echelon form, DOT product, and singular value decomposition (SVD). During the course, participants will learn how linear algebra techniques are used within data science and programming. This includes how concepts such as the DOT product are utilized for neural networks. - Course is free for Silver, Gold and Elite Tier members - 60-75 minutes of learning - Participants must pass the assessment to earn a digital badge and certificate