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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.


More to explore:

Popular Computer Vision Courses and Certifications


  • E

    EDUCBA

    Apply OpenCV for Real-Time Computer Vision Projects

    Skills you'll gain: Computer Vision, Image Analysis, Program Development, Data Science, Real Time Data, Python Programming, Development Environment, NumPy, Machine Learning Methods, System Design and Implementation, Motion Graphics, Model Deployment, Debugging, Software Installation

    Beginner · Specialization · 3 - 6 Months

  • M

    MathWorks

    Computer Vision for Engineering and Science

    Skills you'll gain: Computer Vision, Image Analysis, Model Evaluation, Deep Learning, Matlab, Convolutional Neural Networks, Data Preprocessing, Machine Learning Methods, Machine Learning, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Geospatial Information and Technology, Traffic Flow Optimization, Medical Imaging, Data Validation, Estimation, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    95 reviews

    Intermediate · Specialization · 1 - 3 Months

  • E

    Edge Impulse

    Computer Vision with Embedded Machine Learning

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    162 reviews

    Intermediate · Course · 1 - 4 Weeks

  • M

    MathWorks

    Object Tracking and Motion Detection with Computer Vision

    Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Convolutional Neural Networks, Machine Learning Methods, Matlab, Transfer Learning, Traffic Flow Optimization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    34 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Vision & Audio AI Systems

    Skills you'll gain: Apache Airflow, Data Validation, Image Analysis, Transfer Learning, Data Preprocessing, Data Integrity, Model Evaluation, Debugging, Computer Vision, PyTorch (Machine Learning Library), Data Pipelines, Feature Engineering, MLOps (Machine Learning Operations), Tensorflow, Algorithms, Embeddings, Applied Machine Learning, Performance Tuning, Deep Learning, Digital Signal Processing

    Advanced · Specialization · 3 - 6 Months

  • M

    MathWorks

    Introduction to Computer Vision

    Skills you'll gain: Image Analysis, Computer Vision, Matlab, Geospatial Information and Technology, Medical Imaging, Estimation, Artificial Intelligence and Machine Learning (AI/ML), Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    58 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Cleveland Clinic

    Computer Vision and Sequence Analysis in Machine Learning

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Healthcare 5.0, Predictive Modeling, Applied Machine Learning, Biomedical Engineering, Model Evaluation, Health Informatics, Data Structures

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimize Vision Datasets: Augment and Analyze

    Skills you'll gain: Predictive Analytics, MLOps (Machine Learning Operations), Verification And Validation, Data Preprocessing, Data Transformation, Exploratory Data Analysis, Data Manipulation, Statistical Reporting

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Master OpenCV Fundamentals for Real-Time Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Real Time Data, Python Programming, Development Environment, NumPy, Debugging, Software Installation

    Mixed · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Deep Learning for Computer Vision

    Skills you'll gain: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Applied Machine Learning, Model Deployment, Unsupervised Learning, Artificial Intelligence, Classification Algorithms

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    22 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Computer Vision Fundamentals with Google Cloud

    Skills you'll gain: Convolutional Neural Networks, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Applied Machine Learning, Model Evaluation, Artificial Neural Networks, Deep Learning, Google Cloud Platform, Data Preprocessing, Feature Engineering, Classification Algorithms, Cloud API

    4.6
    Rating, 4.6 out of 5 stars
    ·
    548 reviews

    Advanced · Course · 1 - 3 Months

  • M

    Microsoft

    Computer Vision in Microsoft Azure

    Skills you'll gain: Image Analysis, Computer Vision, Artificial Intelligence, Microsoft Azure, Data Capture, Model Deployment, Text Mining, Application Programming Interface (API), Classification Algorithms, Document Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    130 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Apply OpenCV for Real-Time Computer Vision Projects: EDUCBA
  • Computer Vision for Engineering and Science: MathWorks
  • Computer Vision with Embedded Machine Learning: Edge Impulse
  • Object Tracking and Motion Detection with Computer Vision: MathWorks
  • Vision & Audio AI Systems: Coursera
  • Introduction to Computer Vision: MathWorks
  • Computer Vision and Sequence Analysis in Machine Learning: Cleveland Clinic
  • Optimize Vision Datasets: Augment and Analyze: Coursera
  • Master OpenCV Fundamentals for Real-Time Computer Vision: EDUCBA
  • Deep Learning for Computer Vision: University of Colorado Boulder

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