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Name: Introduction to Computer Vision
Rating: 4.61 (667 reviews)

Introduction to Computer Vision

4.61 Beginner level 2.25 learning hrs 6.4K+ Learners

Discover the fascinating world of Computer Vision in this course! Explore image concepts, representation, and manipulation using Python Imaging Library. Witness the magic of color pixels through engaging demos.

Instructor:

Dr. Bradford Tuckfield

Modules updated 07/2025

Introduction to Computer Vision

4.61 Beginner level 2.25 learning hrs 6.4K+ Learners

6.4K+ learners enrolled so far

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Skills you will gain

Computer Vision Overview

Working with Images

OpenCV Basics

Key Highlights

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Master in-demand skills & tools

Test your skills with quizzes

About this course

Computer Vision is the branch of Artificial Intelligence that enables machines like cameras and computers to derive meaningful insights from digital images, videos, and other visual inputs. This course is designed to ensure that our learners get complete knowledge about the basics of Computer Vision and the process behind it which typically involves image acquisition, image screening, image analysis, and identifying and extracting information from images. We will understand the basics of Images, representation of Images, Python Imaging Library, OpenCV for Images, Color Pixel, etc.

Course outline

Overview of Computer Vision

Understanding the concept of Images

Representation of Images

Python Imaging Library

Demo - Color Pixels

OpenCV for Images

Get access to the complete curriculum once you enrol in the course

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Stand out with an industry-recognized certificate

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10,000+ certificates claimed, get yours today!

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Introduction to Computer Vision

4.61

2.25 Hours

Beginner

6.4K+ learners enrolled so far

Get free course content

Master in-demand skills & tools

Test your skills with quizzes

Trusted by 10 Million+ Learners globally

4.8

4.89

4.94

4.7

Learner reviews of the Free Courses

4.61

★★★★

★ ☆

★

79%

★

☆

13%

★

☆

★

☆

★

☆

Shayan Ahmed

5.0

★★★★ ★

My Learning Experience is Really Good

The curriculum and depth of the topics are impressive, and the instructor's way of teaching is also excellent.

Ranny Lim

5.0

★★★★ ★

Engaging and Insightful Learning Experience

I really enjoyed the interactive elements and hands-on activities. They helped reinforce key concepts in a practical way. The instructors were knowledgeable and approachable, making it easy to ask questions and explore topics in depth. Overall, the blend of theory and application made the learning process both enjoyable and effective!

Ajmal

5.0

★★★★ ★

Great Teachers, the Way the Syllabus was Designed was Really Good

Great Learning is really a great platform for all in practice.

CELDD -MAJU

5.0

★★★★ ★

Clear and Brief Instructions with Easy to Follow Steps

I would suggest this course to my friends. It was very informative, and throughout the course, I have learned so many new things.

Sandeep Kalla

5.0

★★★★ ★

A Marvelous Journey into the World of Computer Vision

I liked the ways of Computer Vision. I am intrigued by the techniques used by computer vision and the way it helps us in the real world.

Daoues Mouheb

5.0

★★★★ ★

A Good Comprehension of Computer Vision and Its Sub-domains

I like that the course involves a lot of examples related to computer vision.

Our course instructor

Dr. Bradford Tuckfield

Co-Founder & Director, Wilson Consulting

Artificial Intelligence Expert

26.4K+ Learners

6 Courses

Dr. Bradford Tuckfield is a Data Science Consultant at his company, Kmbara, where he provides automated, data-centric solutions in domains like Manufacturing, Pharmaceuticals, Marketing, and Technology. He is also an author, has written books on Data Science, Computer Science, and Algorithms, and works as an instructor at ViaX and Great Learning. Dr. Bradford completed his Doctor of Philosophy (Ph.D.) from the Wharton School in Operations and Information Management. He comes from a background in Mathematics and Economics and has wide expertise in Data Science, including Statistics, Programming, and Machine Learning.

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