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
8online degrees
208courses

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Find the best Computer Vision course for your goals

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

  • Status: Free Trial

    Università di Napoli Federico II

    Skills you'll gain: PyTorch (Machine Learning Library), NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Keras (Neural Network Library), Jupyter, Data Manipulation, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Python Programming, Data Science, Scikit Learn (Machine Learning Library)

  • Status: New
    Status: Free Trial

    Skills you'll gain: AI Personalization, Anomaly Detection, Microsoft Azure, Computer Vision, Image Analysis, Artificial Intelligence, Natural Language Processing, Applied Machine Learning, Text Mining, Application Programming Interface (API), Time Series Analysis and Forecasting, Data Processing, Restful API

  • Status: Free

    Skills you'll gain: AWS Kinesis, Amazon Web Services, Image Analysis, Applied Machine Learning, Live Streaming, Real Time Data, Computer Vision, Internet Of Things

  • Status: Preview

    Skills you'll gain: Deep Learning, Generative Model Architectures, Image Analysis, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Network Architecture, Natural Language Processing, Machine Learning Algorithms, Time Series Analysis and Forecasting

  • Skills you'll gain: Control Systems, Computer Vision, Image Analysis, Automation, Embedded Software, Simulations, Systems Architecture, Deep Learning, Virtual Environment, Software Architecture, Scenario Testing, Global Positioning Systems, Predictive Modeling, Computer Hardware, Estimation, Real Time Data

  • Status: New
    Status: Preview

    Skills you'll gain: Responsible AI, Generative AI, Microsoft Azure, Image Analysis, Computer Vision, OpenAI, Artificial Intelligence, Natural Language Processing, Machine Learning, Deep Learning, Text Mining, Data Science

  • Status: Free Trial

    Skills you'll gain: Google Cloud Platform, Unstructured Data, Tensorflow, Data Pipelines, Cloud API, Big Data, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Computer Vision

  • Status: Preview

    Northeastern University

    Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Business Intelligence, Business Strategy, Machine Learning, Data-Driven Decision-Making, Computer Vision, Unstructured Data, Predictive Modeling, Deep Learning, Natural Language Processing

  • Skills you'll gain: Tensorflow, Image Analysis, Artificial Neural Networks, Application Deployment, Data Processing, Applied Machine Learning, Machine Learning Methods, Computer Vision, Deep Learning

  • Status: Preview

    Imperial College London

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Deep Learning, Data Validation, Predictive Modeling, Supervised Learning, Applied Machine Learning, Artificial Neural Networks, Computer Vision, Jupyter

  • Status: Preview

    Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Visualization (Computer Graphics), Network Architecture