Foundational Mathematics for AI
Johns Hopkins University · View on Coursera ↗
Taught by Joseph W. Cutrone, PhD
Data ScienceMath and Logic
About the course
This course offers a comprehensive introduction to the mathematical principles that form the foundation of artificial intelligence and machine learning. Designed for learners with a variety of academic backgrounds, the course bridges essential mathematical concepts with real-world AI applications, empowering students to understand and implement mathematical techniques critical for AI development. By the end of this course, learners will be able to apply functions, matrices, and vectors to repre
The consensus
Every one of the 1 reviews we read gave it 4★ or more. This is the most-upvoted one (no upvotes).
“Excellent course for Foundational Mathematics for AI”
Coursera's 4.9 comes from 11 ratings. Of those, 0.0% are 1–2★.
Starisk reads the reviews learners voted most helpful, and weights each by the square root of its votes: a review with 80 upvotes counts about five times one with 2. Unvoted reviews are not skipped out of laziness — by this model they carry no evidence that other students endorsed them.
That measures what the most-endorsed reviews say, not “true quality.” The rating distribution above is the whole population, so you can see the sample next to it.
Reviews read on 23 Oct 2026.Read them on Coursera ↗