Coursera Computer Vision Basics
FreeUnderstand how computers see the world
FreeFree tier
About Coursera Computer Vision Basics
Computer Vision Basics is a Coursera course that introduces the core concepts of computer vision, its history, and its applications. The course covers digital imaging, color and light, early/mid/high-level vision, and the mathematics essential for computer vision, including linear algebra, calculus, and probability. Learners apply mathematical techniques to complete computer vision tasks using MATLAB. The course is designed for intermediate learners with basic programming experience and includes 4 modules, 14 assignments, and a shareable certificate. It is taught in English with 22 language options and is offered for free with optional paid certificate via Coursera Plus.
Key Features
4 modules covering computer vision overview, color/light/image formation, mid-level vision, and mathematics
Hands-on exercises with MATLAB and supporting toolboxes
14 assignments including videos, readings, and project work
Shareable certificate upon completion
Flexible schedule: 1 week at 10 hours per week
Intermediate level with prerequisites in programming and math
Taught by instructors from industry and academia
Pros & Cons
Pros
- Comprehensive introduction to computer vision from history to practical math
- Free to audit with optional paid certificate
- Flexible self-paced schedule
- Practical MATLAB exercises reinforce concepts
- High satisfaction rate (96% of learners liked the course)
Cons
- Requires prior knowledge of MATLAB, linear algebra, calculus, and probability
- Intensive pace (10 hours per week for 1 week may be challenging for some)
- MATLAB-specific tools may not be applicable to other programming environments
- No advanced computer vision topics covered beyond basics
Best For
Beginners curious about computer vision fundamentalsProfessionals needing a refresher in mathematical concepts for computer visionStudents preparing for advanced computer vision studiesLearners wanting to apply MATLAB to image analysis tasks
FAQ
What are the prerequisites for this course?
Learners should have basic programming skills in MATLAB (understanding of loops, if/else statements) and be familiar with basic linear algebra, 3D coordinate systems, calculus, and probability.
How long does the course take?
The course is designed to be completed in 1 week with approximately 10 hours of study per week, but it is self-paced.
Is a certificate provided?
Yes, a shareable certificate is available upon completion, which can be added to your LinkedIn profile.
Is the course free?
You can join for free and audit the course. A paid subscription (Coursera Plus) may be required for the certificate and full access.