Computer Vision

Computer Vision is a field of artificial intelligence that trains computers to interpret and understand the visual world. Coursera's Computer Vision catalogue teaches you how machines can gain high-level understanding from digital images or videos. You'll learn the foundational principles of object detection, image recognition, machine learning techniques, deep learning networks and practical implementation of these technologies. From creating visual effects to automating tasks in various sectors like healthcare, automotive or security, your path to becoming a proficient computer vision engineer, data scientist or researcher begins here.
51credentials
3online degrees
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Find the best Computer Vision course for your goals

  • Status: Free Trial

    Skills you'll gain: Computer Vision, Applied Machine Learning

  • Status: Free Trial

    Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Time Series Analysis and Forecasting, Deep Learning, Artificial Neural Networks, Generative AI, Predictive Modeling, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Text Mining, Machine Learning Methods, Forecasting, Data Processing, Machine Learning, Supervised Learning

  • Status: Preview

    University of Colorado Boulder

    Skills you'll gain: Computer Vision, Image Analysis, Tensorflow, Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Performance Tuning, Supervised Learning

  • Status: Free Trial

    Skills you'll gain: Anomaly Detection, Image Analysis, Computer Vision, Matlab, Unsupervised Learning, Deep Learning, Application Deployment, PyTorch (Machine Learning Library), Data Synthesis, Medical Imaging

  • Status: Free Trial

    Skills you'll gain: Generative AI, Tensorflow, Computer Vision, Image Analysis, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Distributed Computing, Unsupervised Learning, Network Model, Performance Tuning, NumPy, Object Oriented Programming (OOP), Heat Maps, Network Architecture

  • Status: New

    Skills you'll gain: Computer Vision, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence, System Configuration, Deep Learning, Real Time Data, Performance Tuning, Software Installation, Application Deployment

  • Skills you'll gain: Computer Vision, Image Analysis, Google Cloud Platform, Deep Learning, Real Time Data, Python Programming, Applied Machine Learning, Development Environment, Machine Learning Algorithms, Data Processing, Performance Tuning, Data Collection, Software Installation

  • Skills you'll gain: Tensorflow, Computer Vision, Machine Learning Methods, Development Environment, Image Analysis, Machine Learning, Google Cloud Platform, Deep Learning, Artificial Neural Networks

  • Status: New
    Status: Free Trial

    Skills you'll gain: Image Analysis, Tensorflow, Amazon Web Services, Cloud Applications, Application Development, Application Deployment, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Data Processing, Front-End Web Development

  • Status: Preview

    University of Washington

    Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Computer Vision, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Information Architecture, Differential Equations, Probability & Statistics

  • Status: New
    Status: Free Trial

    Skills you'll gain: Tensorflow, Computer Vision, Deep Learning, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Software Installation, System Requirements

  • Status: New

    Skills you'll gain: Computer Vision, Mobile Development, PyTorch (Machine Learning Library), Flask (Web Framework), Application Development, Tensorflow, Deep Learning, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Containerization, User Interface (UI), Performance Tuning

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