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
9online degrees
208courses

Find the best Computer Vision course for your goals

  • Status: New
    Status: Free Trial

    Skills you'll gain: Generative Model Architectures, Generative AI, OpenAI, ChatGPT, Deep Learning, Real Time Data, Scalability, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Responsible AI, Artificial Neural Networks, Image Analysis, Applied Machine Learning, Computer Vision, Machine Learning Methods, Unsupervised Learning, Natural Language Processing

  • Status: Preview

    Skills you'll gain: Image Analysis, Matlab, Computer Vision, Automation Engineering, Medical Imaging

  • Status: Preview

    Pontificia Universidad Católica de Chile

    Skills you'll gain: Image Quality, Image Analysis, Computer Vision, Computer Graphics, Spatial Analysis, Python Programming, Color Theory, Algorithms, NumPy, Linear Algebra, Computational Logic

  • Status: Preview

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Machine Learning, Network Architecture, Supervised Learning

  • Status: Free Trial

    Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Supervised Learning, Computer Vision, Regression Analysis, Natural Language Processing

  • Status: Free Trial

    Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Computer Vision, Deep Learning, Machine Learning Methods, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Exploratory Data Analysis, Development Environment

  • Status: Preview

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, NumPy, Computer Vision, Machine Learning, Supervised Learning, Linear Algebra, Calculus

  • Status: Preview

    Skills you'll gain: SAS (Software), Data Analysis Software, R (Software), Advanced Analytics, R Programming, Big Data, Image Analysis, Time Series Analysis and Forecasting, Natural Language Processing, Statistical Programming, Jupyter, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Deep Learning, Data Processing, Restful API, Computer Vision, Artificial Neural Networks

  • Status: New
    Status: Free

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, Prompt Engineering Tools, Generative AI, Image Analysis, Computer Vision, AI Personalization, Applied Machine Learning

  • Status: Preview

    Rutgers the State University of New Jersey

    Skills you'll gain: Generative AI, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Responsible AI, Strategic Thinking, Computer Vision, Natural Language Processing, Business Risk Management

  • Status: Free Trial

    University of Illinois Urbana-Champaign

    Skills you'll gain: Deep Learning, Image Analysis, Applied Machine Learning, Artificial Neural Networks, Computer Vision, Predictive Modeling, Health Informatics, Machine Learning, Unsupervised Learning, Feature Engineering, Medical Imaging, Python Programming, Dimensionality Reduction, Network Architecture

  • Status: Free Trial

    Skills you'll gain: Image Analysis, Supervised Learning, Applied Machine Learning, Machine Learning Methods, Demand Planning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Anomaly Detection, Statistical Modeling, Supply Chain Management, Machine Learning, Computer Vision, Machine Learning Algorithms, Supply Chain, Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Natural Language Processing, Artificial Neural Networks, Customer Demand Planning