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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

    • D

      Duke University

      Rust Programming

      Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), DevOps, Jenkins, Unit Testing, Large Language Modeling, Test Case, Restful API, Serverless Computing, Generative AI, Command-Line Interface, Amazon Web Services, Software Testing, Maintainability, Prometheus (Software), System Monitoring, MLOps (Machine Learning Operations)

      4
      Rating, 4 out of 5 stars
      ·
      205 reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      Google UX Design

      Skills you'll gain: User Experience Design, UI/UX Research, Information Architecture, Storyboarding, Wireframing, User Research, User Story, Adobe XD, Usability Testing, Figma (Design Software), Design Reviews, User Interface and User Experience (UI/UX) Design, Design Research, Persona (User Experience), Presentations, Web Design, User Centered Design, Research Design, Design Thinking, Prototyping

      4.7
      Rating, 4.7 out of 5 stars
      ·
      164 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Michigan

      Intro to AR/VR/MR/XR: Technologies, Applications & Issues

      Skills you'll gain: Augmented and Virtual Reality (AR/VR), Augmented Reality, Virtual Reality, Disabilities, Emerging Technologies, Virtual Environment, Design Thinking, Human Computer Interaction, User Experience Design, Data Ethics, Information Privacy, Diversity Equity and Inclusion Initiatives, Innovation, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      ·
      385 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Scrimba

      Intro to Dall-E and GPT Vision

      Skills you'll gain: Image Analysis, Prompt Engineering, Generative AI, OpenAI, Computer Vision, Artificial Intelligence, Large Language Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Politecnico di Milano

      Ethics of Artificial Intelligence

      Skills you'll gain: Ethical Standards And Conduct, Data Ethics, Artificial Intelligence, Governance, Policty Analysis, Research, and Development, Public Policies, Social Sciences, Policy Development, Economics, Policy, and Social Studies, Social Justice, Law, Regulation, and Compliance, Information Privacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      214 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Geneva

      Simulation and modeling of natural processes

      Skills you'll gain: Simulations, Python Programming, Differential Equations, Numerical Analysis, Mathematical Modeling, Probability, Artificial Intelligence and Machine Learning (AI/ML), Computational Thinking, Visualization (Computer Graphics), Mechanics, Algorithms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      398 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      E

      Erasmus University Rotterdam

      Cybersecurity in Healthcare (Hospitals & Care Centres)

      Skills you'll gain: Email Security, Human Factors (Security), Cyber Security Policies, Cybersecurity, Cyber Attacks, Security Awareness, Cyber Risk, Computer Security Awareness Training, Patient Safety, Malware Protection, Encryption, Health Technology, Data Security, Safety and Security, Telehealth, Information Privacy, General Data Protection Regulation (GDPR)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      385 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California San Diego

      Internet of Things: Communication Technologies

      Skills you'll gain: Session Initiation Protocols, Android Development, Android Studio, Internet Of Things, Network Protocols, Telecommunications, Wireless Networks, Mobile Development, Digital Communications, Application Development, Embedded Systems, Open Source Technology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      498 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      The University of Hong Kong

      Materials in Oral Health

      Skills you'll gain: Medical Imaging, Dentistry, Dental Procedures, Laboratory Testing, X-Ray Computed Tomography, Oral and Dental Care, Radiography, Oral Health, Computer-Aided Design, 3D Modeling, Chemistry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      509 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      Programando con Java para aplicaciones Android

      Skills you'll gain: Java, Object Oriented Programming (OOP), Java Programming, Android Development, Android Studio, Mobile Development, Programming Principles, Data Structures, Development Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.5K reviews

      Mixed · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Advanced Deployment Scenarios with TensorFlow

      Skills you'll gain: Tensorflow, Application Deployment, MLOps (Machine Learning Operations), Deep Learning, Applied Machine Learning, Information Privacy, Web Servers, Artificial Neural Networks, Data Security, Data Visualization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      510 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Toronto

      Spatial Analysis and Satellite Imagery in a GIS

      Skills you'll gain: Geographic Information Systems, GIS Software, Spatial Analysis, Spatial Data Analysis, Geospatial Mapping, Query Languages, Data Processing, Data Manipulation, Image Analysis, Data Integration

      4.9
      Rating, 4.9 out of 5 stars
      ·
      613 reviews

      Beginner · Course · 1 - 3 Months

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

    • Rust Programming: Duke University
    • Google UX Design: Google
    • Intro to AR/VR/MR/XR: Technologies, Applications & Issues: University of Michigan
    • Intro to Dall-E and GPT Vision: Scrimba
    • Ethics of Artificial Intelligence: Politecnico di Milano
    • Simulation and modeling of natural processes: University of Geneva
    • Cybersecurity in Healthcare (Hospitals & Care Centres): Erasmus University Rotterdam
    • Internet of Things: Communication Technologies: University of California San Diego
    • Materials in Oral Health: The University of Hong Kong
    • Programando con Java para aplicaciones Android: Universidad Nacional Autónoma de México

    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.‎

    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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