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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
      U

      University of California San Diego

      Advanced Data Structures in Java

      Skills you'll gain: Graph Theory, Data Structures, Java Programming, Java, Object Oriented Design, Software Design, Algorithms, Theoretical Computer Science, Maintainability, Object Oriented Programming (OOP), Network Routing, Computational Thinking, Application Development, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      Northwestern University

      Leadership Communication for Maximum Impact: Storytelling

      Skills you'll gain: Leadership, Corporate Communications, Strategic Communication, Storytelling, Business Leadership, Media Relations, Stakeholder Communications, Public Relations, Innovation, Crisis Management, Communication, Branding

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      California Institute of the Arts

      Web Design: Strategy and Information Architecture

      Skills you'll gain: Information Architecture, Persona (User Experience), UI/UX Strategy, User Experience Design, Web Design, Wireframing, User Research, Mockups, Usability Testing, Agile Methodology, Waterfall Methodology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Amazon

      Introduction to Software Development

      Skills you'll gain: Software Development Life Cycle, Object Oriented Programming (OOP), Java Programming, Java, Program Development, Software Development, Development Environment, Integrated Development Environments, Software Engineering, Programming Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      203 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Big Data Integration and Processing

      Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Big Data, Data Pipelines, Data Processing, Data Management, NoSQL, Analytics, Splunk, Database Systems, MongoDB, Pandas (Python Package), SQL, PostgreSQL

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 1: Basic Concepts and Algorithms

      Skills you'll gain: Digital Communications, Electrical and Computer Engineering, Programming Principles, Engineering Analysis, Electronics, Telecommunications, Advanced Mathematics, Algorithms, Linear Algebra, Time Series Analysis and Forecasting, Mathematical Modeling, Computational Logic, Applied Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      623 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Text Mining and Analytics

      Skills you'll gain: Text Mining, Data Mining, Unstructured Data, Statistical Analysis, Natural Language Processing, Analytics, Data Analysis, Unsupervised Learning, Probability & Statistics, Regression Analysis, Predictive Modeling, Supervised Learning, Machine Learning Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      735 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University at Buffalo

      Decentralized Applications (Dapps)

      Skills you'll gain: Blockchain, Test Driven Development (TDD), Application Development, Integrated Development Environments, Software Architecture, Web Applications, Application Programming Interface (API), Software Development Tools, Software Testing, User Interface (UI), Command-Line Interface

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Deep Learning with Keras and Tensorflow

      Skills you'll gain: Keras (Neural Network Library), Reinforcement Learning, Unsupervised Learning, Deep Learning, Tensorflow, Generative AI, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Image Analysis, Time Series Analysis and Forecasting, Natural Language Processing, Performance Tuning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      948 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Mastering Programming with MATLAB

      Skills you'll gain: Matlab, Algorithms, User Interface (UI), Object Oriented Programming (OOP), Mathematical Software, Engineering Calculations, Computer Programming, Programming Principles, Engineering Analysis, Scripting, Plot (Graphics)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      420 reviews

      Intermediate · Course · 1 - 3 Months

    • T

      The University of Edinburgh

      AstroTech: The Science and Technology behind Astronomical Discovery

      Skills you'll gain: Physics, Physical Science, Science and Research, Engineering, Scientific, and Technical Instruments, Image Analysis, Laboratory Research, Computer Displays, Technical Communication, Data Storage, Data Analysis Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of London

      Responsive Web Design

      Skills you'll gain: Responsive Web Design, HTML and CSS, Web Design, Human Computer Interaction, Interaction Design, Bootstrap (Front-End Framework), Usability, User Interface and User Experience (UI/UX) Design, Wireframing, Data Structures, JavaScript Frameworks, Javascript

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.9K reviews

      Mixed · Course · 1 - 3 Months

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

    • Advanced Data Structures in Java: University of California San Diego
    • Leadership Communication for Maximum Impact: Storytelling: Northwestern University
    • Web Design: Strategy and Information Architecture: California Institute of the Arts
    • Introduction to Software Development: Amazon
    • Big Data Integration and Processing: University of California San Diego
    • Digital Signal Processing 1: Basic Concepts and Algorithms: École Polytechnique Fédérale de Lausanne
    • Text Mining and Analytics: University of Illinois Urbana-Champaign
    • Decentralized Applications (Dapps): University at Buffalo
    • Deep Learning with Keras and Tensorflow: IBM
    • Mastering Programming with MATLAB: Vanderbilt 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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