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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 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, Test Driven Development (TDD), Cloud Computing Architecture, Application Deployment, Devops Tools, Git (Version Control System), DevOps, Grafana, Software Engineering, Python Programming, Application Development

    Build toward a degree

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

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Advanced Deep Learning Techniques for Computer Vision

    Skills you'll gain: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Model Training, Matlab, Generative AI, Deep Learning, Model Evaluation, Data Preprocessing, Interoperability

    4.9
    Rating, 4.9 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to Computer Vision with TensorFlow

    Skills you'll gain: Model Training, Model Evaluation, Tensorflow, Computer Vision, Machine Learning Methods, Development Environment, Image Analysis, Machine Learning, Deep Learning, Data Persistence, Artificial Neural Networks

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Image Processing for Engineering and Science

    Skills you'll gain: Image Analysis, Image Quality, Matlab, Computer Vision, File I/O, Automation, Digital Signal Processing, Anomaly Detection, Spatial Data Analysis, Geospatial Information and Technology, Engineering Practices, Medical Imaging, Spatial Analysis, Mathematical Software, Data Preprocessing, Quantitative Research, Algorithms, File Management, Data Store

    4.7
    Rating, 4.7 out of 5 stars
    ·
    257 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Neural Networks and Computer Vision Foundations

    Skills you'll gain: Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Model Training, Machine Learning Methods, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, NumPy, Python Programming, Matplotlib, Data Visualization, Data Science

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Introduction to Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Model Training, Fine-tuning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Predictive Modeling, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Modern AI Models for Vision and Multimodal Understanding

    Skills you'll gain: Vision Transformer (ViT), Recurrent Neural Networks (RNNs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Embeddings, Digital Signal Processing, Machine Learning Methods, Classification Algorithms, Probability Distribution

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    30 reviews

    Advanced · Course · 1 - 4 Weeks

  • P

    Packt

    YOLO-NAS + v8 Full-Stack Computer Vision Course

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

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of User Experience (UX) Design

    Skills you'll gain: User Experience, UI/UX Research, User Experience Design, User Research, Design Thinking, Usability, User Centered Design, Prototyping, Sprint Retrospectives, Wireframing, Ideation, Sprint Planning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    76K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    P

    Princeton University

    Computer Science: Algorithms, Theory, and Machines

    Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Computer Systems, Algorithms, Computer Programming, Computational Logic, Java Programming, Computer Hardware, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    769 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Colorado Boulder

    Deep Learning Applications for Computer Vision

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Tensorflow, Deep Learning, Artificial Neural Networks, Machine Learning Methods, Model Training, Model Optimization, Applied Machine Learning, Fine-tuning, Feature Engineering, Machine Learning, Model Evaluation, Classification Algorithms

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    89 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    Camera and Imaging

    Skills you'll gain: Image Quality, Image Analysis, Computer Vision, Photography, Color Theory, Digital Signal Processing, Semiconductors, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    161 reviews

    Beginner · Course · 1 - 3 Months

1234…729

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

  • IBM DevOps and Software Engineering: IBM
  • Advanced Deep Learning Techniques for Computer Vision: MathWorks
  • Introduction to Computer Vision with TensorFlow: Google Cloud
  • Image Processing for Engineering and Science: MathWorks
  • Neural Networks and Computer Vision Foundations: Edureka
  • Introduction to Deep Learning for Computer Vision: MathWorks
  • Modern AI Models for Vision and Multimodal Understanding: University of Colorado Boulder
  • YOLO-NAS + v8 Full-Stack Computer Vision Course: Packt
  • Foundations of User Experience (UX) Design: Google
  • Computer Science: Algorithms, Theory, and Machines: Princeton University

Skills you can learn in Software Development

Programming Language (34)
Google (25)
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Google Cloud Platform (18)
Application Programming Interfaces (17)
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Problem Solving (14)
Object-oriented Programming (13)
Kubernetes (10)
List & Label (10)

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