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
211courses

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Find the best Computer Vision course for your goals

  • Status: Free Trial

    Skills you'll gain: Exploratory Data Analysis, Keras (Neural Network Library), Data Processing, Data Analysis, Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Computer Vision, Data Visualization, Machine Learning, Performance Tuning

  • Skills you'll gain: Google Gemini, Image Analysis, LLM Application, Multimodal Prompts, Large Language Modeling, Text Mining, Google Cloud Platform, Computer Vision, Document Management

  • Status: New

    Skills you'll gain: .NET Framework, Machine Learning, Artificial Intelligence, Microsoft Copilot, Generative AI, Applied Machine Learning, OpenAI, Microsoft Azure, MLOps (Machine Learning Operations), Development Environment, Microsoft Development Tools, Image Analysis, Responsible AI, Computer Vision, Natural Language Processing

  • Status: Preview

    Skills you'll gain: Image Analysis, Generative Model Architectures, Deep Learning, Computer Vision

  • Skills you'll gain: Large Language Modeling, Image Analysis, Cloud Services, Applied Machine Learning, Computer Vision, MLOps (Machine Learning Operations), Artificial Intelligence, Generative AI, Natural Language Processing, Document Management, Integrated Development Environments, Data Integration, Application Deployment

  • Status: Preview

    Skills you'll gain: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Computer Vision, Artificial Neural Networks, Predictive Modeling, Exploratory Data Analysis, Performance Tuning

  • Status: New

    Skills you'll gain: Prompt Engineering, OpenAI, Responsible AI, LLM Application, Data Ethics, Image Analysis, Application Programming Interface (API), Generative AI, Artificial Intelligence, Natural Language Processing, Large Language Modeling, Computer Vision, Application Deployment, Development Environment

  • Status: New
    Status: Free Trial

    Skills you'll gain: Prompt Engineering, Amazon Bedrock, Generative AI, LLM Application, Amazon S3, Data Store, Computer Vision

  • Status: Preview

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

  • Status: Free Trial

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

  • Status: Preview

    Skills you'll gain: Social Sciences, Automation, Economics, Policy, and Social Studies, Social Studies, Socioeconomics, Electrical Systems, Electric Power Systems, Transportation Operations, Health Equity, Sociology, Policy Analysis, Sustainable Systems, Emerging Technologies, Technology Roadmaps, Environmental Issue, Sustainable Development, Climate Change Mitigation, Augmented and Virtual Reality (AR/VR), Computer Vision, Diversity Equity and Inclusion Initiatives

  • Status: Preview

    University of Pennsylvania

    Skills you'll gain: Control Systems, Robotic Process Automation, Automation, Artificial Intelligence, Programmable Logic Controllers, Matlab, Simulation and Simulation Software, Embedded Software, Engineering, Computer Vision, Mathematical Modeling, Mechanics, Algorithms, Estimation, Differential Equations, Linear Algebra

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