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
209courses

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Find the best Computer Vision course for your goals

  • Status: New
    Status: Free Trial

    Skills you'll gain: Amazon Elastic Compute Cloud, Application Deployment, Tensorflow, Image Analysis, Feature Engineering, Computer Vision, Deep Learning, Applied Machine Learning, Application Development, Data Processing

  • Status: New
    Status: Preview

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

  • Status: New
    Status: Free Trial

    Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Deep Learning, Artificial Neural Networks, Unsupervised Learning

  • Status: New
    Status: Free Trial

    Skills you'll gain: Tensorflow, Deep Learning, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Applied Machine Learning, Data Processing

  • Status: New
    Status: Free Trial

    Skills you'll gain: Multimodal Prompts, Generative AI, Generative Model Architectures, Image Analysis, Prompt Engineering, Image Quality, Computer Vision, Deep Learning, Natural Language Processing, Performance Tuning

  • Status: New
    Status: Free Trial

    Skills you'll gain: PyTorch (Machine Learning Library), Generative AI, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Software Visualization, Artificial Neural Networks, Computer Vision, Dimensionality Reduction

  • Status: New
    Status: Free Trial

    Skills you'll gain: Keras (Neural Network Library), Image Analysis, Computer Vision, Deep Learning, Tensorflow, Google Cloud Platform, Applied Machine Learning, Machine Learning Methods, Data Processing, Visualization (Computer Graphics)

  • Status: New
    Status: Free Trial

    Skills you'll gain: Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Computer Vision, Tensorflow, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Python Programming, Google Cloud Platform, Development Environment

  • Status: New
    Status: Preview

    Skills you'll gain: Generative AI, Applied Machine Learning, Small Data, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Computer Graphics, Machine Learning, Image Analysis, Data Synthesis, Computer Vision, Augmented and Virtual Reality (AR/VR), Simulations, 3D Modeling, Mathematical Modeling

  • Status: Free Trial

    Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Matlab, Data Visualization, Machine Learning Methods, Data Analysis, Data Validation

  • Status: Free Trial

    Skills you'll gain: ChatGPT, Generative AI, Data Synthesis, Image Analysis, Data Capture, OpenAI, Data Analysis, Organizational Skills, Computer Vision, AI Personalization, Artificial Intelligence, Prompt Engineering, Automation

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Anomaly Detection, Image Analysis, Text Mining, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Regression Analysis, Large Language Modeling, No-Code Development, Predictive Modeling, Machine Learning Algorithms, Automation, Supervised Learning

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