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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: Preview
    Preview
    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
    ·
    161 reviews

    Intermediate · 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, Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Computer Vision, Retrieval-Augmented Generation, Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Vision Transformer (ViT), Keras (Neural Network Library), LLM Application, Supervised Learning, Vector Databases, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Intermediate · 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, Matlab, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Transfer Learning, Data Synthesis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 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, Convolutional Neural Networks, Machine Learning Methods, Matlab, Transfer Learning, Traffic Flow Optimization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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

    4.6
    Rating, 4.6 out of 5 stars
    ·
    547 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    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, Classification Algorithms, Document Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    129 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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
    ·
    55 reviews

    Intermediate · 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, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    18 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    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), Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Embeddings, Digital Signal Processing, Transfer Learning

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Crash Course on Python

    Skills you'll gain: Program Development, Programming Principles, Python Programming, Computer Programming, Computational Thinking, Problem Management, Data Structures, Integrated Development Environments, Debugging, Development Environment

    4.8
    Rating, 4.8 out of 5 stars
    ·
    40K reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to Computer Vision with TensorFlow

    Skills you'll gain: Model Evaluation, Tensorflow, Convolutional Neural Networks, Computer Vision, Keras (Neural Network Library), Development Environment, Image Analysis, Machine Learning, Deep Learning, Data Persistence, Artificial Neural Networks

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Beginner · Project · Less Than 2 Hours

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

  • Computer Vision with Embedded Machine Learning: Edge Impulse
  • IBM AI Engineering: IBM
  • Advanced Deep Learning Techniques for Computer Vision: MathWorks
  • Deep Learning for Computer Vision: University of Colorado Boulder
  • Object Tracking and Motion Detection with Computer Vision: MathWorks
  • Computer Vision Fundamentals with Google Cloud: Google Cloud
  • Computer Vision in Microsoft Azure: Microsoft
  • Introduction to Computer Vision: MathWorks
  • Introduction to Deep Learning for Computer Vision: MathWorks
  • Modern AI Models for Vision and Multimodal Understanding: University of Colorado Boulder

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