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Certification

Certification: Applied Linear Algebra for Machine Learning Practitioners

Show the world you have AI skills with this certification in Applied Linear Algebra for Machine Learning Practitioners—demonstrate your expertise in essential mathematical tools that drive modern data science and intelligent systems.

Exam of 10 to 20 questionsCertificate for LinkedInIntermediate
IT and development
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The exam

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Multiple-choice questions about the course. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.

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What the exam covers

2 questions from each of the 15 chapters of the course

20 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.

  1. 01Foundations: trig, reals and norms56:00
  2. 02Euclidean distance and vectors46:28
  3. 03Special vectors and applications56:54
  4. 04Vector operations and scalar multiplication25:05
  5. 05Linear combinations47:10
  6. 06Span40:05
  7. 07Linear independence31:52
  8. 08Linear systems and matrices46:50
  9. 09Special matrices: zero matrix35:01
  10. 10Algebraic laws for matrices56:31
  11. 11Determinants50:51
  12. 12Vector spaces and projections7:18
  13. 13Vector spaces: practical example54:28
  14. 14Projections, orthogonality, normalisation51:56
  15. 15Special and orthogonal matrices42:14
About the course

The Certification: Applied Linear Algebra for Machine Learning Practitioners is designed for professionals seeking to master the foundational mathematical concepts essential for modern machine learning. Participants will gain skills that improve decision-making, enhance adaptability, and provide a strong competitive advantage in data-driven fields. Enroll today to unlock powerful analytical tools and accelerate your career growth.

This certification covers the following topics:

  • Vector Spaces and Vector Representation
  • Norm and Euclidean Distance
  • Linear Combinations and Span
  • Basis of a Vector Space
  • Matrices
  • Systems of Linear Equations
  • Determinants
  • Orthogonal Vectors and Orthonormal Bases
  • Gram-Schmidt Process

Jobs this certification suits

Our AI checked this certification against 500 jobs; these get the most out of it. Each job links to its learning path.

Data Scientists