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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
      M

      Meta

      Programming in Python

      Skills you'll gain: Object Oriented Programming (OOP), Unit Testing, Test Driven Development (TDD), Programming Principles, Software Testing, Data Structures, Python Programming, Computer Programming, Development Environment, Integrated Development Environments, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Principles of UX/UI Design

      Skills you'll gain: UI/UX Research, Usability Testing, Persona (User Experience), Interaction Design, User Experience Design, User Interface and User Experience (UI/UX) Design, User Interface (UI), User Experience, Design Research, User Centered Design, User Interface (UI) Design, Figma (Design Software), Design Elements And Principles, Wireframing, Prototyping

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Introduction to Generative AI for Software Development

      Skills you'll gain: Prompt Engineering, Large Language Modeling, ChatGPT, Generative AI, Code Review, Software Development, Program Development, Software Development Methodologies, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      448 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universitat Autònoma de Barcelona

      Detección de objetos

      Skills you'll gain: Computer Vision, Image Analysis, Classification And Regression Tree (CART), Machine Learning Algorithms, Supervised Learning, Machine Learning, Deep Learning, Feature Engineering, Artificial Neural Networks, Histogram

      4.4
      Rating, 4.4 out of 5 stars
      ·
      352 reviews

      Mixed · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to Image Generation

      Skills you'll gain: Generative AI, Google Cloud Platform, Image Analysis, Deep Learning, Unsupervised Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      181 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      Managing Cybersecurity

      Skills you'll gain: Network Security, Incident Response, Network Administration, Vulnerability Management, Cybersecurity, Contingency Planning, Cyber Governance, Cyber Attacks, Disaster Recovery, Computer Security Incident Management, Cyber Security Policies, Security Management, Firewall, Network Monitoring, General Networking, Cyber Security Strategy, Crisis Management, Vulnerability Assessments, Cyber Security Assessment, Risk Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of London

      Responsive Website Development and Design

      Skills you'll gain: Responsive Web Design, HTML and CSS, Web Design, Human Computer Interaction, Interaction Design, jQuery, Bootstrap (Front-End Framework), Hypertext Markup Language (HTML), Usability, User Experience Design, User Accounts, MongoDB, User Interface and User Experience (UI/UX) Design, Web Design and Development, Wireframing, Persona (User Experience), Web Applications, Full-Stack Web Development, Interactive Data Visualization, JavaScript Frameworks

      4.5
      Rating, 4.5 out of 5 stars
      ·
      7.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Building AI Cloud Apps with Microsoft Azure

      Skills you'll gain: Cloud Development, Image Analysis, Anomaly Detection, Prompt Engineering, Microsoft Copilot, Microsoft Azure, Cloud Storage, Data Storage, Cloud Applications, Computer Vision, Text Mining, Microsoft Development Tools, Unsupervised Learning, Data Storage Technologies, Natural Language Processing, Cloud Hosting, Data Ethics, Continuous Deployment, Application Deployment, Virtual Machines

      4.5
      Rating, 4.5 out of 5 stars
      ·
      480 reviews

      Intermediate · Specialization · 3 - 6 Months

    • S

      Stanford University

      Introduction to Logic

      Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Business Logic, Functional Design, Programming Principles

      4.4
      Rating, 4.4 out of 5 stars
      ·
      647 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Build Basic Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Data Ethics, Computer Vision, Artificial Intelligence, Unsupervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Introduction to Software Testing

      Skills you'll gain: Software Testing, JUnit, Verification And Validation, Unit Testing, Test Case, Test Automation, Development Testing, Test Planning, Code Coverage, Software Quality Assurance, Functional Testing, Testability, Integration Testing, Test Data, Issue Tracking

      4.4
      Rating, 4.4 out of 5 stars
      ·
      782 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      Plant Bioinformatic Methods

      Skills you'll gain: Bioinformatics, Network Analysis, Research Reports, Molecular Biology, Molecular, Cellular, and Microbiology, Biology, Analysis, Data Analysis, Data Synthesis, Big Data, Statistical Methods, Data Visualization Software, Data Analysis Software, Data Mining, Experimentation, Scientific Visualization, Life Sciences, Interactive Data Visualization, Statistical Analysis, Databases

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.1K reviews

      Beginner · Specialization · 3 - 6 Months

    Computer Vision learners also search

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

    • Programming in Python: Meta
    • Principles of UX/UI Design: Meta
    • Introduction to Generative AI for Software Development: DeepLearning.AI
    • Detección de objetos: Universitat Autònoma de Barcelona
    • Introduction to Image Generation: Google Cloud
    • Managing Cybersecurity: Kennesaw State University
    • Responsive Website Development and Design: University of London
    • Building AI Cloud Apps with Microsoft Azure: Microsoft
    • Introduction to Logic: Stanford University
    • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI

    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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