Linear Algebra for Machine Learning

Free Beginner course · 10 lessons · 2 weeks · Certificate on completion

Build the vector and matrix intuition that every ML model quietly depends on. Across 10 lessons you'll move from fundamentals to a portfolio-ready outcome — at your own pace, with quizzes after each lesson and a final exam to certify your mastery.

What you'll learn

Skills you'll pick up

Tools covered

Course modules

Module 1: Vectors as data

Module 1 of Linear Algebra for Machine Learning. 3 lessons · 3h

Module 2: Matrix multiplication intuition

Module 2 of Linear Algebra for Machine Learning. 3 lessons · 3h

Module 3: Singular value decomposition

Module 3 of Linear Algebra for Machine Learning. 2 lessons · 2h

Module 4: Linear algebra in NumPy

Module 4 of Linear Algebra for Machine Learning. 2 lessons · 2h

Lessons in this course

Instructor

Elena Sokolova — Applied ML Researcher

Elena Sokolova is a Applied ML Researcher with years of hands-on experience teaching Linear Algebra for ML to thousands of learners worldwide.

Certificate

Finish every lesson and pass the final exam to earn a free, verifiable Learnera certificate for Linear Algebra for Machine Learning. It can be downloaded as a PDF and shared on LinkedIn.

Career outcomes

Median global salary $100,000 per year · median India salary ₹14,00,000 per year · 92,581 open roles worldwide

Frequently asked questions

Is the Linear Algebra for Machine Learning course free?

Yes. Every Learnera course, including Linear Algebra for Machine Learning, is completely free — lessons, quizzes, the final exam, and the certificate.

How long does Linear Algebra for Machine Learning take?

10 lessons, typically completed in 2 weeks at a comfortable pace.

Do I get a certificate?

Yes — pass the final exam and you receive a free, verifiable certificate you can share on LinkedIn.

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