• For Individuals
  • For Businesses
  • For Universities
  • For Governments
Log In
Join for Free
  • Browse
  • Computer Vision

Computer Vision Courses

Computer vision courses can help you learn image processing, object detection, facial recognition, and video analysis. You can build skills in feature extraction, image classification, and deep learning techniques. Many courses introduce tools like OpenCV, TensorFlow, and PyTorch, that support implementing algorithms and developing applications that leverage artificial intelligence and AI for visual data interpretation.


Popular Computer Vision Courses and Certifications


  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Jupyter, Deep Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Advanced Computer Vision with TensorFlow

    Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Keras (Neural Network Library), Deep Learning, Visualization (Computer Graphics), Heat Maps, Network Architecture

    4.7
    Rating, 4.7 out of 5 stars
    ·
    527 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Multimodal Prompts, Keras (Neural Network Library), Visualization (Computer Graphics), Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Generative AI, Tensorflow, Deep Learning, Applied Machine Learning, Data Processing, Linear Algebra, Microsoft Excel, Data Transformation, Feature Engineering, Data Manipulation

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    27 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    MathWorks Computer Vision Engineer

    Skills you'll gain: Computer Vision, Image Analysis, Anomaly Detection, Applied Machine Learning, Deep Learning, Image Quality, Artificial Neural Networks, Unsupervised Learning, Matlab, Application Deployment, PyTorch (Machine Learning Library), Machine Learning, Motion Graphics, Supervised Learning, Data Visualization, Automation, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    337 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Convolutional Neural Networks

    Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    43K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Deep Learning

    Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Generative AI, Supervised Learning, Large Language Modeling, Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Python Programming, Data-Driven Decision-Making, Machine Learning Algorithms, Linear Algebra

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    147K reviews

    Intermediate · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Anomaly Detection, Image Analysis, Matlab, Deep Learning, Artificial Neural Networks, Unsupervised Learning, Application Deployment, PyTorch (Machine Learning Library), Data Visualization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Data Synthesis, Performance Tuning, Data Analysis, Classification And Regression Tree (CART), Data Validation, Medical Imaging

    4.9
    Rating, 4.9 out of 5 stars
    ·
    32 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Computer Vision for Engineering and Science

    Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Matlab, Applied Machine Learning, Machine Learning, Motion Graphics, Supervised Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Geospatial Information and Technology, Data Integration, Medical Imaging, Data Validation, Estimation, Machine Learning Methods, Performance Tuning, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    90 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Visualization (Computer Graphics), Artificial Intelligence, Data Ethics, Generative AI, Deep Learning, Applied Machine Learning, Linear Algebra, Microsoft Excel, Data Transformation, Feature Engineering, Data Manipulation

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    16 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    Edge Impulse

    Computer Vision with Embedded Machine Learning

    Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Embedded Systems, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Embedded Software, Deep Learning, Data Ethics, Machine Learning, Computer Programming, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    157 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Object Tracking and Motion Detection with Computer Vision

    Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Matlab, Motion Graphics, Artificial Intelligence and Machine Learning (AI/ML), Medical Imaging, Visualization (Computer Graphics)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    32 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, PyTorch (Machine Learning Library), Computer Vision, Unsupervised Learning, Generative AI, PySpark, Keras (Neural Network Library), Supervised Learning, Deep Learning, Reinforcement Learning, Regression Analysis, LLM Application, Scikit Learn (Machine Learning Library), Applied Machine Learning, Natural Language Processing, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

Searches related to computer vision

computer vision basics
computer vision with embedded machine learning
computer vision: yolo custom object detection with colab gpu
computer vision for engineering and science
computer vision in microsoft azure
computer vision fundamentals with google cloud
computer vision: face recognition quick starter in python
introduction to computer vision
1234…34

In summary, here are 10 of our most popular computer vision courses

  • Introduction to Computer Vision and Image Processing: IBM
  • Advanced Computer Vision with TensorFlow: DeepLearning.AI
  • Computer Vision: University of Colorado Boulder
  • MathWorks Computer Vision Engineer: MathWorks
  • Convolutional Neural Networks: DeepLearning.AI
  • Deep Learning: DeepLearning.AI
  • Deep Learning for Computer Vision: MathWorks
  • Computer Vision for Engineering and Science: MathWorks
  • Introduction to Computer Vision: University of Colorado Boulder
  • Computer Vision with Embedded Machine Learning: Edge Impulse

Skills you can learn in Software Development

Programming Language (34)
Google (25)
Computer Program (21)
Software Testing (21)
Web (19)
Google Cloud Platform (18)
Application Programming Interfaces (17)
Data Structure (16)
Problem Solving (14)
Object-oriented Programming (13)
Kubernetes (10)
List & Label (10)

Frequently Asked Questions about Computer Vision

Browse the computer vision courses below—popular starting points on Coursera.

  • Introduction to Computer Vision and Image Processing: IBM
  • Advanced Computer Vision with TensorFlow: DeepLearning.AI
  • Modern AI Models for Vision and Multimodal Understanding: University of Colorado Boulder
  • Jetson Nano Starter to Pro - A Computer Vision Course: Packt
  • Deep Learning for Computer Vision: University of Colorado Boulder
  • Convolutional Neural Networks: DeepLearning.AI‎

Coursera’s computer vision courses offer learners a deep dive into the technology and techniques used to interpret and process images and videos:

  • Fundamentals of image processing and analysis
  • Techniques for object detection, recognition, and tracking
  • Application of machine learning and deep learning models in computer vision
  • Use of popular computer vision libraries like OpenCV and TensorFlow
  • Skills for developing real-world computer vision applications, such as facial recognition and autonomous driving
  • Best practices for enhancing the performance and accuracy of vision systems‎

Computer vision courses are structured to accommodate learners with varying levels of expertise:

  • Beginners interested in computer vision can start with introductory courses that focus on basic concepts and tools.
  • Intermediate learners can expand their knowledge with courses on specific applications like image recognition or augmented reality.
  • Advanced students can explore complex topics involving neural networks and artificial intelligence as they apply to computer vision.‎

Completing Computer Vision courses on Coursera enables learners to earn several types of credentials:

  • Professional certificates that demonstrate expertise in computer vision techniques
  • Specializations that cover detailed aspects of computer vision, from foundational skills to advanced applications
  • Certificates that are respected in the tech industry and can help propel your career in areas like research, development, and engineering ‎

Skills gained from studying computer vision can lead to innovative and exciting career paths:

  • Computer Vision Engineer, developing algorithms and systems to interpret visual data
  • Robotics Engineer, integrating vision systems into robots for navigation and tasks
  • Software Developer, implementing computer vision functionalities in various applications
  • Research Scientist, pushing the boundaries of what's possible with AI and machine learning in vision
  • Product Manager, overseeing the development of products that rely on computer vision technology‎

Computer vision is a branch of AI that trains computers to interpret and analyze visual data from the world, such as images or video. It powers technologies like facial recognition, object detection, and self-driving cars.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

Other topics to explore

Arts and Humanities
338 courses
Business
1095 courses
Computer Science
668 courses
Data Science
425 courses
Information Technology
145 courses
Health
471 courses
Math and Logic
70 courses
Personal Development
137 courses
Physical Science and Engineering
413 courses
Social Sciences
401 courses
Language Learning
150 courses

Coursera Footer

Skills

  • Artificial Intelligence (AI)
  • Cybersecurity
  • Data Analytics
  • Digital Marketing
  • English Speaking
  • Generative AI (GenAI)
  • Microsoft Excel
  • Microsoft Power BI
  • Project Management
  • Python

Certificates & Programs

  • Google Cybersecurity Certificate
  • Google Data Analytics Certificate
  • Google IT Support Certificate
  • Google Project Management Certificate
  • Google UX Design Certificate
  • IBM Data Analyst Certificate
  • IBM Data Science Certificate
  • Machine Learning Certificate
  • Microsoft Power BI Data Analyst Certificate
  • UI / UX Design Certificate

Industries & Careers

  • Business
  • Computer Science
  • Data Science
  • Education & Teaching
  • Engineering
  • Finance
  • Healthcare
  • Human Resources (HR)
  • Information Technology (IT)
  • Marketing

Career Resources

  • Career Aptitude Test
  • Examples of Strengths and Weaknesses for Job Interviews
  • High-Income Skills to Learn
  • How Does Cryptocurrency Work?
  • How to Highlight Duplicates in Google Sheets
  • How to Learn Artificial Intelligence
  • Popular Cybersecurity Certifications
  • Preparing for the PMP Certification
  • Signs You Will Get the Job After an Interview
  • What Is Artificial Intelligence?

Coursera

  • About
  • What We Offer
  • Leadership
  • Careers
  • Catalog
  • Coursera Plus
  • Professional Certificates
  • MasterTrack® Certificates
  • Degrees
  • For Enterprise
  • For Government
  • For Campus
  • Become a Partner
  • Social Impact
  • Free Courses
  • Share your Coursera learning story

Community

  • Learners
  • Partners
  • Beta Testers
  • Blog
  • The Coursera Podcast
  • Tech Blog

More

  • Press
  • Investors
  • Terms
  • Privacy
  • Help
  • Accessibility
  • Contact
  • Articles
  • Directory
  • Affiliates
  • Modern Slavery Statement
  • Do Not Sell/Share
Learn Anywhere
Download on the App Store
Get it on Google Play
Logo of Certified B Corporation
© 2025 Coursera Inc. All rights reserved.
  • Coursera Facebook
  • Coursera Linkedin
  • Coursera Twitter
  • Coursera YouTube
  • Coursera Instagram
  • Coursera TikTok