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  • 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


  • Status: Free
    Free
    M

    Microsoft

    Build a computer vision app with Azure Cognitive Services

    Skills you'll gain: Application Programming Interface (API), Microsoft Azure, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), User Accounts, Image Analysis, Artificial Intelligence, Cloud Solutions, Cloud Computing, Software Development

    4.5
    Rating, 4.5 out of 5 stars
    ·
    422 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Object Localization with TensorFlow

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Image Analysis, Computer Vision, Artificial Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    116 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Deep Learning with PyTorch : Image Segmentation

    Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Computer Vision, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    223 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Aerial Image Segmentation with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Computer Vision, Applied Machine Learning, Deep Learning, Python Programming

    4.1
    Rating, 4.1 out of 5 stars
    ·
    31 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Basic Image Classification with TensorFlow

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Machine Learning Methods, Computer Vision, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    847 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Detecting COVID-19 with Chest X-Ray using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Medical Imaging, Machine Learning, Computer Vision, X-Ray Computed Tomography

    4.5
    Rating, 4.5 out of 5 stars
    ·
    339 reviews

    Intermediate · Guided Project · Less Than 2 Hours

What brings you to Coursera today?

  • C

    Coursera

    Fake News Detection with Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Deep Learning, Plot (Graphics), Artificial Neural Networks, Matplotlib, Data Cleansing, Data Analysis, Tensorflow, Natural Language Processing, Data Processing, Data Manipulation, Python Programming, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    263 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Explainable AI: Scene Classification and GradCam Visualization

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Image Analysis, Tensorflow, Computer Vision, Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Predictive Modeling, Machine Learning, Data Processing, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    58 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Build Image Quality Inspection using AWS Lookout for Vision

    Skills you'll gain: Image Analysis, Amazon Web Services, Image Quality, Computer Vision, Anomaly Detection, Software Quality Assurance, Data Science, Machine Learning, Cloud Computing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Introduction to HTML

    Skills you'll gain: Hypertext Markup Language (HTML), Front-End Web Development, Web Design and Development, Web Development, Web Development Tools, Web Applications, Web Content, Integrated Development Environments

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.2K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Sentiment Analysis with Deep Learning using BERT

    Skills you'll gain: Text Mining, Data Cleansing, PyTorch (Machine Learning Library), Data Manipulation, Data Processing, Performance Tuning, Deep Learning, Natural Language Processing, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    398 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Build a mobile app with Google Sheets on Glide and no coding

    Skills you'll gain: No-Code Development, Mobile Development, Google Sheets, Application Development, Application Design, Application Deployment, Data Structures, User Accounts, Personalized Service, User Feedback, Web Development, Marketing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    680 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Build a computer vision app with Azure Cognitive Services: Microsoft
  • Object Localization with TensorFlow: Coursera
  • Deep Learning with PyTorch : Image Segmentation : Coursera
  • Aerial Image Segmentation with PyTorch : Coursera
  • Basic Image Classification with TensorFlow: Coursera
  • Detecting COVID-19 with Chest X-Ray using PyTorch: Coursera
  • Fake News Detection with Machine Learning: Coursera
  • Explainable AI: Scene Classification and GradCam Visualization : Coursera
  • Build Image Quality Inspection using AWS Lookout for Vision: Coursera
  • Introduction to HTML: Coursera

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.

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