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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

    • U

      University of Washington

      Machine Learning: Clustering & Retrieval

      Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Big Data, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Sampling (Statistics), Scalability, Probability Distribution, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Introduction to High-Performance and Parallel Computing

      Skills you'll gain: Bash (Scripting Language), Scalability, Distributed Computing, Computer Systems, Big Data, Operating Systems, Performance Tuning, File Systems, Linux, Command-Line Interface, Programming Principles, OS Process Management

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      137 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Irvine

      Foundations of Objective-C App Development

      Skills you'll gain: Objective-C (Programming Language), iOS Development, Apple iOS, Prototyping, Mobile Development, C (Programming Language), Object Oriented Programming (OOP), Programming Principles, Data Structures, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      557 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Alberta

      Reviews & Metrics for Software Improvements

      Skills you'll gain: Sprint Retrospectives, Scrum (Software Development), Software Technical Review, Code Review, Agile Project Management, Software Quality Assurance, Agile Methodology, User Story, Debugging, Issue Tracking, Requirements Analysis, Usability Testing, User Research, Data-Driven Decision-Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.7K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of California, Irvine

      Introduction to Cybersecurity & Risk Management

      Skills you'll gain: Threat Modeling, Risk Management, Business Continuity Planning, Asset Protection, Risk Analysis, Risk Management Framework, Security Strategy, Cyber Governance, Risk Mitigation, Vendor Management, Vulnerability Assessments, Security Management, Cyber Risk, Compliance Management, Asset Management, Regulatory Compliance, Cyber Security Policies, Supplier Management, Security Awareness, Cyber Security Strategy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      293 reviews

      Beginner · Specialization · 1 - 3 Months

    • G

      Google Cloud

      Production Machine Learning Systems

      Skills you'll gain: MLOps (Machine Learning Operations), Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Systems Architecture, Performance Tuning, Applied Machine Learning, Machine Learning, Distributed Computing, Scalability, Data Pipelines

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1K reviews

      Advanced · Course · 1 - 3 Months

    • S

      Scrimba

      Frontend Development

      Skills you'll gain: User Interface (UI) Design, Color Theory, User Interface (UI), Hypertext Markup Language (HTML), Web Content Accessibility Guidelines, Cascading Style Sheets (CSS), HTML and CSS, Typography, React.js, Web Development Tools, JSON, Design, Event-Driven Programming, Web Design, Javascript, Debugging, Usability, Web Development, Node.JS, Front-End Web Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      455 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Virginia

      Product Analytics and AI

      Skills you'll gain: Customer Analysis, Analytics, Business Analytics, Usability Testing, Product Management, Customer Insights, A/B Testing, Product Development, Agile Methodology, User Experience, Advanced Analytics, Data-Driven Decision-Making, Data Science, Product Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      479 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Text Retrieval and Search Engines

      Skills you'll gain: Text Mining, Natural Language Processing, Data Mining, Unstructured Data, Big Data, Web Analytics and SEO, Machine Learning, Information Architecture, Statistical Methods, Algorithms, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      960 reviews

      Mixed · Course · 1 - 3 Months

    • 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

    • C

      California Institute of the Arts

      Web Design: Wireframes to Prototypes

      Skills you'll gain: Wireframing, Mockups, Responsive Web Design, Web Design, User Interface (UI) Design, User Experience Design, Prototyping, Web Language, Graphic and Visual Design, HTML and CSS, Typography, Peer Review

      4.8
      Rating, 4.8 out of 5 stars
      ·
      860 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      The Critical Role of IT Support Staff in Healthcare

      Skills you'll gain: Desktop Support, End User Training and Support, Technical Support and Services, Help Desk Support, Patient Education and Support, Healthcare Industry Knowledge, Technical Support, Information Technology, Health Care, Health Information Management, Electronic Medical Record, Medical Terminology, Network Troubleshooting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      714 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Machine Learning: Clustering & Retrieval: University of Washington
    • Introduction to High-Performance and Parallel Computing: University of Colorado Boulder
    • Foundations of Objective-C App Development: University of California, Irvine
    • Reviews & Metrics for Software Improvements: University of Alberta
    • Introduction to Cybersecurity & Risk Management: University of California, Irvine
    • Production Machine Learning Systems: Google Cloud
    • Frontend Development: Scrimba
    • Product Analytics and AI: University of Virginia
    • Text Retrieval and Search Engines: University of Illinois Urbana-Champaign
    • Rust Programming: Duke University

    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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