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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

    • C

      Coursera Instructor Network

      Technical Troubleshooting: Diagnostics, Networks, Customers

      Skills you'll gain: Network Troubleshooting, Network Performance Management, Technical Communication, Technical Support and Services, Technical Support, Network Administration, Desktop Support, Debugging, End User Training and Support, Help Desk Support, Problem Management, Network Analysis

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Computational Thinking & Block Programming in K-12 Education

      Skills you'll gain: Debugging, Computer Programming Tools, Algorithms, Programming Principles, Computational Thinking, Diversity Awareness, Program Development, Technical Communication, Event-Driven Programming, Computer Programming, Education Software and Technology, Code Review, Diversity Equity and Inclusion Initiatives, Computer Science, Software Documentation, Data Structures, Development Environment, Student Engagement, Game Design, Graphical Tools

      4.6
      Rating, 4.6 out of 5 stars
      ·
      32 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      T

      Tecnológico de Monterrey

      Leadership in the Family Business

      Skills you'll gain: Succession Planning, Governance, Leadership and Management, Leadership, Business Leadership, Strategic Leadership, Leadership Development, Talent Management, Organizational Structure, Business Continuity, Entrepreneurship, Conflict Management, Business Economics, Decision Making

      3.9
      Rating, 3.9 out of 5 stars
      ·
      7 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Beginners Overview of Swagger Editor

      Skills you'll gain: Software Documentation, Application Programming Interface (API), Test Tools, Technical Documentation, Restful API, JSON, Web Services, YAML

      4.1
      Rating, 4.1 out of 5 stars
      ·
      30 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Programming Languages Ⅰ

      Skills you'll gain: Scala Programming, Programming Principles, Theoretical Computer Science, Other Programming Languages, Computer Programming, Functional Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      Edureka

      PySpark for Data Science

      Skills you'll gain: PySpark, Apache Spark, Unsupervised Learning, Data Pipelines, Apache Hadoop, Data Processing, Real Time Data, Big Data, Data Visualization, Distributed Computing, Natural Language Processing, Pandas (Python Package), Data Manipulation, Feature Engineering, Machine Learning, Machine Learning Algorithms, SQL, Data Transformation, Supervised Learning, Text Mining

      2.9
      Rating, 2.9 out of 5 stars
      ·
      9 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Gemini for Application Developers

      Skills you'll gain: Generative AI, Cloud Development, Google Cloud Platform, Software Development Tools, Application Development, Integrated Development Environments, Prompt Engineering, Cloud Services, Code Review

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Hybrid Cloud Modernizing Applications with Anthos

      Skills you'll gain: CI/CD, Serverless Computing, Cloud-Native Computing, Kubernetes, Application Deployment, Hybrid Cloud Computing, Continuous Deployment, Cloud Applications, Microservices, Continuous Integration, Google Cloud Platform, Containerization, Event-Driven Programming, Scalability

      Intermediate · Course · 1 - 4 Weeks

    • L

      LearnQuest

      Scrum Master Certification Practice

      Skills you'll gain: Backlogs, Sprint Planning, Test Driven Development (TDD), Sprint Retrospectives, User Story, Scrum (Software Development), Agile Product Development, Kanban Principles, Agile Methodology, Solution Delivery, Application Deployment, Meeting Facilitation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      21 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Ethical Issues in Data Science

      Skills you'll gain: Data Ethics, Healthcare Ethics, Ethical Standards And Conduct, Data Security, Data Science, Medical Privacy, Machine Learning Algorithms, Algorithms, Information Privacy, Artificial Intelligence, Diversity Awareness, Cybersecurity, Emerging Technologies

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      42 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      How to create and sell templates on Canva

      Skills you'll gain: Canva (Software), Product Promotion, Marketing Materials, Promotional Strategies, Graphic and Visual Design Software, Product Knowledge, Design, Dashboard, Graphic and Visual Design, Creative Design, Selling Techniques

      3.7
      Rating, 3.7 out of 5 stars
      ·
      12 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      AWS: Data Protection and Security Governance

      Skills you'll gain: Patch Management, Data Security, Cloud Security, Amazon Web Services, Data Governance, AWS Identity and Access Management (IAM), Cyber Governance, Cloud Management, Key Management, Amazon S3, Amazon CloudWatch, Data Encryption Standard, AWS CloudFormation, Infrastructure as Code (IaC), Public Key Infrastructure, Configuration Management

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Technical Troubleshooting: Diagnostics, Networks, Customers: Coursera Instructor Network
    • Computational Thinking & Block Programming in K-12 Education: University of California San Diego
    • Leadership in the Family Business: Tecnológico de Monterrey
    • Beginners Overview of Swagger Editor: Coursera Project Network
    • Programming Languages Ⅰ: Korea Advanced Institute of Science and Technology(KAIST)
    • PySpark for Data Science: Edureka
    • Gemini for Application Developers: Google Cloud
    • Hybrid Cloud Modernizing Applications with Anthos: Google Cloud
    • Scrum Master Certification Practice: LearnQuest
    • Ethical Issues in Data Science: University of Colorado Boulder

    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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