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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.

Popular Computer Vision Courses and Certifications


  • Status: Free
    Free
    P

    Princeton University

    Computer Architecture

    Skills you'll gain: Microarchitecture, Computer Architecture, Memory Management, Hardware Architecture, Computer Engineering, Systems Architecture, Distributed Computing, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.9K reviews

    Advanced · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Visual Perception for Self-Driving Cars

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Deep Learning, Robotics, Model Training, Machine Learning Algorithms, Model Evaluation, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    587 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM DevOps and Software Engineering

    Skills you'll gain: User Story, Cloud Deployment, CI/CD, Unit Testing, Software Development Life Cycle, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Linux Commands, Software Architecture, Cloud Infrastructure, Test Driven Development (TDD), Application Deployment, Devops Tools, Git (Version Control System), DevOps, Grafana, Software Engineering, Data Import/Export, Application Development

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    65K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    E

    EDUCBA

    Analyze and Apply Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Feature Engineering, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    YOLO-NAS + v8 Full-Stack Computer Vision Course

    Skills you'll gain: Computer Vision, Mobile Development, Model Training, Fine-tuning, Model Deployment, Model Optimization, PyTorch (Machine Learning Library), Flask (Web Framework), Tensorflow, Application Deployment, AI Integrations, Cloud Deployment, Data Preprocessing, User Interface (UI), Development Environment, User Interface (UI) Design

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Jetson Nano Starter to Pro - A Computer Vision Course

    Skills you'll gain: Computer Vision, Image Analysis, PyTorch (Machine Learning Library), Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Integrations, System Configuration, Deep Learning, Real Time Data, Model Deployment, Computer Hardware, Software Installation, Application Deployment

    Intermediate · Course · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Pennsylvania

    Computational Thinking for Problem Solving

    Skills you'll gain: Computational Thinking, Algorithms, Programming Principles, Program Development, Pseudocode, Problem Solving, Analytical Skills, Python Programming, Computer Systems, Data Structures, Computer Hardware, Computer Programming, Object Oriented Programming (OOP), Analysis, Computer Architecture, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Computer Vision: Face Recognition Quick Starter in Python

    Skills you'll gain: Computer Vision, Python Programming, Image Analysis, Real Time Data, Classification Algorithms, Visualization (Computer Graphics), Model Optimization, Development Environment, Software Installation, Package and Software Management, Algorithms

    Beginner · Course · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Cleveland Clinic

    Computer Vision and Sequence Analysis in Machine Learning

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

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning - Computer Vision for Beginners Using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Convolutional Neural Networks, Deep Learning, Pandas (Python Package), Image Analysis, Model Optimization, Python Programming, Data Manipulation, Model Training

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Computational Vision

    Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Convolutional Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Computational Thinking, Psychology, Human Factors

    4.4
    Rating, 4.4 out of 5 stars
    ·
    67 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    Duke University

    Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

    Skills you'll gain: Image Quality, Digital Signal Processing, Image Analysis, Computer Vision, Digital Communications, Computer Graphics, Medical Imaging, Applied Mathematics, Sensory Systems Analysis, Spatial Analysis, Linear Algebra, Matlab, Mathematical Modeling, Histogram, Differential Equations

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.1K reviews

    Mixed · Course · 1 - 3 Months

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

  • Computer Architecture: Princeton University
  • Visual Perception for Self-Driving Cars: University of Toronto
  • IBM DevOps and Software Engineering: IBM
  • Analyze and Apply Deep Learning for Computer Vision: EDUCBA
  • YOLO-NAS + v8 Full-Stack Computer Vision Course: Packt
  • Jetson Nano Starter to Pro - A Computer Vision Course: Packt
  • Computational Thinking for Problem Solving: University of Pennsylvania
  • Computer Vision: Face Recognition Quick Starter in Python: Packt
  • Computer Vision and Sequence Analysis in Machine Learning: Cleveland Clinic
  • Deep Learning - Computer Vision for Beginners Using PyTorch: Packt

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