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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: New
      New
      G

      Google Cloud

      Boost Productivity with Gemini in BigQuery - 한국어

      Skills you'll gain: Exploratory Data Analysis, Prompt Engineering, Generative AI, Data Visualization Software, Google Cloud Platform, Data Cleansing, Data Transformation, Debugging, Natural Language Processing

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Smart Analytics, Machine Learning and AI on GC - 한국어

      Skills you'll gain: Google Cloud Platform, Unstructured Data, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Applied Machine Learning, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Jupyter, Natural Language Processing

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Google Cloud Customer Care Fundamentals - 한국어

      Skills you'll gain: Product Support, Technical Support and Services, Technical Support, Google Cloud Platform, Service Level, Issue Tracking, Problem Management, Technical Communication, File Management, Personally Identifiable Information

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Vector Search and Embeddings - Bahasa Indonesia

      Skills you'll gain: Large Language Modeling, Generative AI, Natural Language Processing, Google Cloud Platform, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Illinois at Urbana-Champaign

      Master of Computer Science (feat. Data Science Track)

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of London

      International Foundation Programme for Computer Science (IFP)

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • D

      Dartmouth College

      Master of Engineering in Computer Engineering

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Colorado Boulder

      Power Electronics Graduate Certificate

      Skills you'll gain: Computer Vision, Power Electronics, Debugging, Display Devices, Control Systems, Image Analysis, Computer Displays, Tensorflow, Electronic Systems, Deep Learning, Systems Design, Artificial Neural Networks, USB, Electrical Engineering, Semiconductors, Electrical Systems, Computer Programming Tools, Technical Design, Embedded Systems, Electrical Power

      Credit offered

      Graduate Certificate · 6 - 12 Months

    • W

      West Virginia University

      Master of Science in Software Engineering

      Skills you'll gain: Unified Modeling Language, Verification And Validation, Threat Modeling, Enterprise Architecture, Security Management, Secure Coding, Scope Management, Application Security, Financial Statements, Proposal Development, Cash Flows, Object Oriented Design, Requirements Analysis, Software Design, Security Requirements Analysis, Database Design, Software Visualization, Object Oriented Programming (OOP), Business Process Management, Mobile Security

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      G

      Google Cloud

      Google Cloud 上の Gemini 1.0 Pro とアプリケーションの統合

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Google Cloud에서 Gemini 1.0 Pro와 애플리케이션 통합

      Skills you'll gain:

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidad de los Andes

      Metodologías ágiles de desarrollo de software Certificado MasterTrack®

      Skills you'll gain: Test Automation, Android Jetpack, User Story, Software Testing, Kotlin, Agile Software Development, Team Building, Security Requirements Analysis, Continuous Integration, Cloud Applications, Infrastructure As A Service (IaaS), Unit Testing, Acceptance Testing, Usability, Software Engineering, Sprint Retrospectives, Application Security, Software Architecture, Web Content Accessibility Guidelines, Platform As A Service (PaaS)

      Credit offered

      Mastertrack · 6 - 12 Months

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

    • Boost Productivity with Gemini in BigQuery - 한국어: Google Cloud
    • Smart Analytics, Machine Learning and AI on GC - 한국어: Google Cloud
    • Google Cloud Customer Care Fundamentals - 한국어: Google Cloud
    • Vector Search and Embeddings - Bahasa Indonesia: Google Cloud
    • Master of Computer Science (feat. Data Science Track): University of Illinois at Urbana-Champaign
    • International Foundation Programme for Computer Science (IFP): University of London
    • Master of Engineering in Computer Engineering: Dartmouth College
    • Power Electronics Graduate Certificate: University of Colorado Boulder
    • Master of Science in Software Engineering: West Virginia University
    • Google Cloud 上の Gemini 1.0 Pro とアプリケーションの統合: Google Cloud

    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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