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.
52credentials
9online degrees
211courses

Find the best Computer Vision course for your goals

  • Universidad de los Andes

    Skills you'll gain: Real-Time Operating Systems, Supervised Learning, Semantic Web, LangChain, Unsupervised Learning, Cloud-Native Computing, Continuous Deployment, Computer Vision, Reinforcement Learning, Natural Language Processing, Project Controls, Deep Learning, Biomedical Engineering, MLOps (Machine Learning Operations), Artificial Intelligence, Data Ethics, Game Theory, Linear Algebra, Machine Learning Methods, Responsible AI

  • Skills you'll gain: Social Network Analysis, Systems Thinking, Unsupervised Learning, Data Storytelling, Risk Analysis, Computer Vision, Deep Learning, Reinforcement Learning, Financial Statement Analysis, Predictive Modeling, Project Management Life Cycle, Time Series Analysis and Forecasting, Marketing Analytics, MLOps (Machine Learning Operations), Simulations, Descriptive Analytics, Matplotlib, Exploratory Data Analysis, Verification And Validation, Natural Language Processing

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