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    • Computer Vision

    Computer Vision Courses Online

    Study computer vision for image processing applications. Learn about object detection, image recognition, and deep learning techniques.

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    Explore the Computer Vision Course Catalog

    • I

      IBM

      Introduction to Computer Vision and Image Processing

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Cloud Applications, Artificial Neural Networks, Applied Machine Learning, Keras (Neural Network Library), PyTorch (Machine Learning Library), Deep Learning, Visualization (Computer Graphics), Machine Learning Algorithms, Tensorflow, Supervised Learning, Data Processing, Computer Programming, Application Deployment, Verification And Validation, Algorithms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      MathWorks Computer Vision Engineer

      Skills you'll gain: Image Analysis, Computer Vision, Anomaly Detection, Applied Machine Learning, Machine Learning, Deep Learning, Artificial Neural Networks, Data Processing, Supervised Learning, Data Manipulation, Feature Engineering, PyTorch (Machine Learning Library), Classification And Regression Tree (CART), Data Store, Simulations, Automation, Performance Tuning, Keras (Neural Network Library), Data Transformation, Matlab

      4.7
      Rating, 4.7 out of 5 stars
      ·
      316 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      First Principles of Computer Vision

      Skills you'll gain: Computer Vision, Image Analysis, Photography, Computer Graphics, 3D Modeling, Visualization (Computer Graphics), Virtual Reality, Medical Imaging, Unsupervised Learning, Artificial Neural Networks, Dimensionality Reduction, Graph Theory, Machine Learning Algorithms, Display Devices, Mathematical Modeling, Color Theory, Algorithms, Estimation, Electronic Components, Automation Engineering

      4.7
      Rating, 4.7 out of 5 stars
      ·
      218 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I
      S

      Multiple educators

      Generative AI for Growth Marketing

      Skills you'll gain: Data-Driven Decision-Making, Artificial Intelligence, Large Language Modeling, Content Creation, Customer experience improvement, Technical Writing, Target Audience, Business Ethics, Image Analysis, Virtual Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.8K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Deep Learning for Computer Vision

      Skills you'll gain: Computer Vision, Anomaly Detection, Image Analysis, Deep Learning, Artificial Neural Networks, Matlab, PyTorch (Machine Learning Library), Applied Machine Learning, Performance Tuning, Keras (Neural Network Library), Tensorflow, Exploratory Data Analysis, Visualization (Computer Graphics), Data Validation, Data Synthesis, Data Processing, Medical Imaging, Interoperability, Data Collection

      4.8
      Rating, 4.8 out of 5 stars
      ·
      26 reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      University of Colorado Boulder

      Introduction to Computer Vision

      Skills you'll gain: Image Analysis, Computer Graphics, Computer Vision, Visualization (Computer Graphics), Linear Algebra

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Object Tracking and Motion Detection with Computer Vision

      Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Anomaly Detection, Simulations, Medical Imaging, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Jupyter, Web Scraping, Python Programming, Data Collection, Object Oriented Programming (OOP), Pandas (Python Package), Programming Principles, Data Structures, NumPy, Data Processing, Data Manipulation, Application Programming Interface (API), Data Import/Export, Computer Programming, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      42K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Computer Vision in Microsoft Azure

      Skills you'll gain: Image Analysis, Computer Vision, Microsoft Azure, Applied Machine Learning, Artificial Intelligence, Data Processing, Data Analysis, Text Mining, Automation, Application Programming Interface (API), Document Management, Application Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      115 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Full Stack Software Developer

      Skills you'll gain: Serverless Computing, Software Development Life Cycle, Node.JS, OpenShift, GitHub, Software Architecture, ChatGPT, React Redux, Web Development Tools, Microservices, Containerization, Responsive Web Design, React.js, Kubernetes, Cloud Computing Architecture, Object-Relational Mapping, CI/CD, Flask (Web Framework), Jupyter, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      56K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      G

      Google

      Google Cybersecurity

      Skills you'll gain: Threat Modeling, Intrusion Detection and Prevention, Network Security, Open Web Application Security Project (OWASP), Event Monitoring, Security Controls, Threat Management, Computer Security Incident Management, Security Awareness, Threat Detection, Incident Response, Vulnerability Management, Cyber Attacks, Cybersecurity, Debugging, Relational Databases, Linux, Interviewing Skills, Python Programming, SQL

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      55K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, Data Wrangling, Keras (Neural Network Library), Unsupervised Learning, Generative AI Agents, Feature Engineering, Predictive Modeling, Flask (Web Framework), Supervised Learning, PyTorch (Machine Learning Library), Deep Learning, Exploratory Data Analysis, Data Manipulation, Natural Language Processing, Data Import/Export, Statistical Modeling, Applied Machine Learning, Jupyter

      4.6
      Rating, 4.6 out of 5 stars
      ·
      90K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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    In summary, here are 10 of our most popular computer vision courses

    • Introduction to Computer Vision and Image Processing: IBM
    • MathWorks Computer Vision Engineer: MathWorks
    • First Principles of Computer Vision: Columbia University
    • Generative AI for Growth Marketing: IBM
    • Deep Learning for Computer Vision: MathWorks
    • Introduction to Computer Vision: University of Colorado Boulder
    • Object Tracking and Motion Detection with Computer Vision: MathWorks
    • Python for Data Science, AI & Development: IBM
    • Computer Vision in Microsoft Azure: Microsoft
    • IBM Full Stack Software Developer: IBM

    Skills you can learn in Software Development

    Programming Language (34)
    Google (25)
    Computer Program (21)
    Software Testing (21)
    Web (19)
    Google Cloud Platform (18)
    Application Programming Interfaces (17)
    Data Structure (16)
    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
    List & Label (10)

    Frequently Asked Questions about Computer Vision

    Coursera’s Computer Vision courses offer learners a deep dive into the technology and techniques used to interpret and process images and videos:

    • Fundamentals of image processing and analysis
    • Techniques for object detection, recognition, and tracking
    • Application of machine learning and deep learning models in computer vision
    • Use of popular computer vision libraries like OpenCV and TensorFlow
    • Skills for developing real-world computer vision applications, such as facial recognition and autonomous driving
    • Best practices for enhancing the performance and accuracy of vision systems‎

    Computer Vision courses are structured to accommodate learners with varying levels of expertise:

    • Beginners interested in computer vision can start with introductory courses that focus on basic concepts and tools.
    • Intermediate learners can expand their knowledge with courses on specific applications like image recognition or augmented reality.
    • Advanced students can explore complex topics involving neural networks and artificial intelligence as they apply to computer vision.‎

    Completing Computer Vision courses on Coursera enables learners to earn several types of credentials:

    • Professional certificates that demonstrate expertise in computer vision techniques
    • Specializations that cover detailed aspects of computer vision, from foundational skills to advanced applications
    • Certificates that are respected in the tech industry and can help propel your career in areas like research, development, and engineering ‎

    Skills gained from studying computer vision can lead to innovative and exciting career paths:

    • Computer Vision Engineer, developing algorithms and systems to interpret visual data
    • Robotics Engineer, integrating vision systems into robots for navigation and tasks
    • Software Developer, implementing computer vision functionalities in various applications
    • Research Scientist, pushing the boundaries of what's possible with AI and machine learning in vision
    • Product Manager, overseeing the development of products that rely on computer vision technology‎

    Looking to enhance your team's computer vision skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our computer vision training options and make a purchase, please visit our Coursera for Teams page.‎

    Computer vision is a branch of AI that trains computers to interpret and analyze visual data from the world, such as images or video. It powers technologies like facial recognition, object detection, and self-driving cars.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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