About this Course

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Flexible deadlines
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Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level

Basic calculus (differentiation and integration), linear algebra

Approx. 22 hours to complete
English

What you will learn

  • Learners will be able to explain what Computer Vision is and give examples of Computer Vision tasks.​

  • Learners will be able to describe the process behind classic algorithmic solutions to Computer Vision tasks and explain their pros and cons.

  • Learners will be able to use hands-on modern machine learning tools and python libraries.

Skills you will gain

  • Computer Vision
  • Convolutional Neural Network
  • Machine Learning
  • Deep Learning
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level

Basic calculus (differentiation and integration), linear algebra

Approx. 22 hours to complete
English

Offered by

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University of Colorado Boulder

Start working towards your Master's degree

This course is part of the 100% online Master of Science in Data Science from University of Colorado Boulder. If you are admitted to the full program, your courses count towards your degree learning.

Syllabus - What you will learn from this course

Week
1

Week 1

4 hours to complete

Introduction and Background

4 hours to complete
4 videos (Total 80 min), 10 readings, 1 quiz
Week
2

Week 2

4 hours to complete

Classic Computer Vision Tools

4 hours to complete
5 videos (Total 115 min), 10 readings, 1 quiz
Week
3

Week 3

3 hours to complete

Image Classification in Computer Vision

3 hours to complete
3 videos (Total 45 min), 2 readings, 1 quiz
Week
4

Week 4

5 hours to complete

Neural Networks and Deep Learning

5 hours to complete
4 videos (Total 100 min), 5 readings, 1 quiz

Frequently Asked Questions

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