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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

    • Status: Free Trial
      Free Trial
      G

      Google

      Start the UX Design Process: Empathize, Define, and Ideate

      Skills you'll gain: User Experience Design, User Story, Ideation, Usability, Web Content Accessibility Guidelines, User Research, Design Thinking, Human Centered Design, Competitive Analysis, User Flows, Persona Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      16K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Play It Safe: Manage Security Risks

      Skills you'll gain: Threat Management, Cybersecurity, Risk Management Framework, Risk Management, Business Risk Management, Incident Response, Vulnerability Management, Security Information and Event Management (SIEM), Security Controls, Continuous Monitoring, Information Systems Security, Enterprise Security, Risk Analysis, Threat Detection, Information Assurance, Open Web Application Security Project (OWASP), Auditing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Deep Learning - Computer Vision for Beginners Using PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, Matplotlib, Python Programming, Deep Learning, Pandas (Python Package), NumPy, Jupyter, Data Manipulation, Artificial Neural Networks

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Computer Hardware and Software

      Skills you'll gain: Network Security, Computer Hardware, Hardware Architecture, Computer Systems, Information Technology, System Software, General Networking, Network Protocols, Operating Systems, Computer Networking, Software Systems, Data Storage, File Systems

      4.5
      Rating, 4.5 out of 5 stars
      ·
      173 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of London

      Introduction to Computer Science and Programming

      Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Graphing, Javascript, Computer Networking, Computational Thinking, Theoretical Computer Science, Human Computer Interaction, Hardware Architecture, Program Development, Arithmetic, Computer Graphics, Operating Systems, Applied Mathematics, Mathematical Modeling, Computer Programming, General Mathematics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • T

      The University of Edinburgh

      Code Yourself! An Introduction to Programming

      Skills you'll gain: Software Engineering, Video Game Development, Software Testing, Software Development, Programming Principles, Software Design, Game Design, Computer Programming, Animation and Game Design, Debugging, Computational Thinking, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.6K reviews

      Beginner · Course · 1 - 3 Months

    • T

      The Hong Kong University of Science and Technology

      Introduction to Computers and Office Productivity Software

      Skills you'll gain: Computer Hardware, Computer Graphics, Computer Systems, Graphics Software, Spreadsheet Software, Document Management, File Management, Data Management

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

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Plotly, Data Visualization, Predictive Modeling, Interactive Data Visualization, Exploratory Data Analysis, Data Wrangling, Data Analysis, Jupyter, Matplotlib, Pandas (Python Package), Seaborn, Data Presentation, Data Import/Export, Web Scraping, Automation, Data Science, Data-Driven Decision-Making, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      58K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Security Engineer

      Skills you'll gain: Application Performance Management, Distributed Denial-Of-Service (DDoS) Attacks, Google Cloud Platform, Kubernetes, Cloud Infrastructure, Identity and Access Management, Data Loss Prevention, Load Balancing, System Monitoring, Prompt Engineering, Network Monitoring, Cloud Computing Architecture, Containerization, Network Architecture, Role-Based Access Control (RBAC), Network Security, OAuth, Network Routing, Cloud Security, Virtual Private Networks (VPN)

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      50K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Human-Centered Design: an Introduction

      Skills you'll gain: Interaction Design, Usability, Human Centered Design, Mockups, Storyboarding, User Experience Design, Design Thinking, Prototyping, User Interface (UI) Design, User Research, Interviewing Skills

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.8K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of London

      Mathematics for Computer Science

      Skills you'll gain: Graphing, Computational Thinking, Arithmetic, Applied Mathematics, Mathematical Modeling, General Mathematics, Computer Science, Computer Graphics, Systems Of Measurement, Cryptography

      4.1
      Rating, 4.1 out of 5 stars
      ·
      238 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Foundations of Computer Science

      Skills you'll gain: Visual Basic (Programming Language), Database Management, System Software, Databases, Relational Databases, Algorithms, Computer Architecture, Network Security, Computer Hardware, SQL, Computer Science, Computer Networking, Computer Programming, Network Protocols, Programming Principles, Software Development, Automation, Analysis, Cloud Computing, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      111 reviews

      Beginner · Course · 1 - 3 Months

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

    • Start the UX Design Process: Empathize, Define, and Ideate: Google
    • Play It Safe: Manage Security Risks: Google
    • Deep Learning - Computer Vision for Beginners Using PyTorch: Packt
    • Computer Hardware and Software: University of California, Irvine
    • Introduction to Computer Science and Programming: University of London
    • Code Yourself! An Introduction to Programming: The University of Edinburgh
    • Introduction to Computers and Office Productivity Software: The Hong Kong University of Science and Technology
    • Applied Data Science: IBM
    • Preparing for Google Cloud Certification: Cloud Security Engineer: Google Cloud
    • Human-Centered Design: an Introduction: University of California San Diego

    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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