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.
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2online degrees
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Find the best Computer Vision course for your goals

  • Status: Preview

    Skills you'll gain: Augmented Reality, Augmented and Virtual Reality (AR/VR), Mobile Development, Android (Operating System), Image Analysis, Geographic Information Systems, 3D Assets, Computer Vision, Global Positioning Systems, Prototyping, User Interface (UI)

  • Skills you'll gain: Applied Machine Learning, Google Cloud Platform, Image Analysis, MLOps (Machine Learning Operations), Computer Vision, Predictive Modeling, Machine Learning, Cloud Storage, Cloud API

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Robotic Process Automation, Artificial Intelligence, Engineering, Scientific, and Technical Instruments, Automation, Data Mapping, Graph Theory, Planning, Algorithms, Embedded Software, Computer Programming, Mechanics, Computer Vision, Computer Science, Simulation and Simulation Software, Control Systems, Programming Principles, Real-Time Operating Systems, Engineering, Linear Algebra, Design

  • Coursera Project Network

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Image Analysis, Computer Vision, Artificial Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning, Python Programming

  • Status: Preview

    Universidad de los Andes

    Skills you'll gain: Computer Vision, Image Analysis, Generative AI, Deep Learning, Augmented and Virtual Reality (AR/VR), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Unsupervised Learning

  • Skills you'll gain: Tensorflow, Image Analysis, Google Cloud Platform, Computer Vision, Deep Learning, Data Collection, Visualization (Computer Graphics)

  • Skills you'll gain: AWS SageMaker, AWS Identity and Access Management (IAM), Image Analysis, Amazon Elastic Compute Cloud, Amazon S3, Applied Machine Learning, Application Deployment, Machine Learning Algorithms, Computer Vision, Deep Learning, Machine Learning

  • Status: Free Trial

    University of Michigan

    Skills you'll gain: Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Precision Medicine, Machine Learning Software, Generative AI, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, AI Product Strategy, Energy and Utilities, Image Analysis, Technical Design, Deep Learning, Computer Vision, Medical Imaging, Statistical Machine Learning, Reinforcement Learning, Electric Power Systems, Bioinformatics, Data-Driven Decision-Making

  • Status: Free Trial

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Computer Vision, Supervised Learning, Machine Learning, Network Architecture

  • Status: Preview

    Skills you'll gain: Computer Vision, Natural Language Processing, Machine Learning, Big Data, Artificial Intelligence, Deep Learning, Reinforcement Learning, Data Analysis

  • Status: Free Trial

    Skills you'll gain: Google Cloud Platform, Artificial Intelligence, Responsible AI, Cloud API, Cloud Solutions, Data Quality, Machine Learning, Applied Machine Learning, Business Solutions, Natural Language Processing, Computer Vision, Data Science

  • Status: Free Trial

    Skills you'll gain: Augmented Reality, Augmented and Virtual Reality (AR/VR), Live Streaming, Multimedia, Emerging Technologies, Market Analysis, Market Opportunities, Cloud Services, Network Protocols, Application Development, Network Infrastructure, Computer Vision, Video Production, Content Management, Scalability, User Interface (UI)

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