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: Preview

    Skills you'll gain: Image Analysis, Generative AI, Deep Learning, Generative Model Architectures, Large Language Modeling, Applied Machine Learning, Computer Vision

  • Status: Preview

    Skills you'll gain: Image Analysis, Generative AI, Deep Learning, Computer Vision, Applied Machine Learning

  • Status: Preview

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

  • Status: Preview

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

  • Status: Preview

    Skills you'll gain: Generative AI, Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision

  • Status: Preview

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

  • Status: Free Trial

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

  • Skills you'll gain: Generative AI, Image Analysis, Deep Learning, Computer Vision

  • Skills you'll gain: Natural Language Processing, Field-Programmable Gate Array (FPGA), Technical Communication, Statistical Machine Learning, Embedded Systems, Machine Learning, Machine Learning Algorithms, Embedded Software, Distributed Computing, Deep Learning, Image Analysis, Computer Vision, Electrical and Computer Engineering, Engineering Analysis, Serial Peripheral Interface, Student Support and Services, Student Services, Text Mining, Digital Communications, Electrical Engineering

  • University of Colorado Boulder

    Skills you'll gain: Computer Vision, Display Devices, Power Electronics, Control Systems, Computer Displays, Image Analysis, Tensorflow, Electronic Systems, Deep Learning, Debugging, Artificial Neural Networks, Electrical Engineering, USB, Semiconductors, Electronics, Electric Power Systems, Electronics Engineering, Electrical Power, Artificial Intelligence and Machine Learning (AI/ML), Computer Programming Tools

  • Skills you'll gain: Systems Thinking, Social Network Analysis, Data Storytelling, Unsupervised Learning, Marketing Analytics, Deep Learning, Reinforcement Learning, Computer Vision, Predictive Modeling, Project Management Life Cycle, Time Series Analysis and Forecasting, Data-Driven Decision-Making, Financial Data, Simulation and Simulation Software, Descriptive Analytics, Exploratory Data Analysis, Data Management, Pandas (Python Package), Random Forest Algorithm, Operations Research

  • Universidad de los Andes

    Skills you'll gain: Real-Time Operating Systems, Semantic Web, Unsupervised Learning, LLM Application, Cloud-Native Computing, Reinforcement Learning, Continuous Deployment, Supervised Learning, Deep Learning, Computer Vision, Natural Language Processing, Cost Estimation, MLOps (Machine Learning Operations), Biomedical Engineering, Artificial Intelligence, Data Ethics, Probability & Statistics, Control Systems, Machine Learning Methods, Responsible AI