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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

    • I

      Intel

      IntelĀ® Network Academy - Network Transformation 101

      Skills you'll gain: Software-Defined Networking, Computer Networking, Network Infrastructure, Infrastructure Architecture, Network Architecture, General Networking, Network Engineering, Virtualization, Telecommunications, Virtualization and Virtual Machines, Digital Transformation

      4.5
      Rating, 4.5 out of 5 stars
      Ā·
      496 reviews

      Beginner Ā· Course Ā· 1 - 4 Weeks

    • G

      Google Cloud

      Classify Images of Clouds in the Cloud with AutoML Vision

      Skills you'll gain: Applied Machine Learning, Google Cloud Platform, Image Analysis, Cloud Computing, Predictive Modeling, Computer Vision, Data Import/Export

      4.1
      Rating, 4.1 out of 5 stars
      Ā·
      13 reviews

      Intermediate Ā· Project Ā· Less Than 2 Hours

    • D

      Duke University

      Explainable AI (XAI)

      Skills you'll gain: Large Language Modeling, Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, Machine Learning, Applied Machine Learning, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Natural Language Processing, Image Analysis, Machine Learning Methods, Deep Learning, Visualization (Computer Graphics), Predictive Analytics, Artificial Neural Networks, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      Ā·
      34 reviews

      Intermediate Ā· Specialization Ā· 1 - 3 Months

    • C

      Coursera Project Network

      Practical Introduction to the Command Line

      Skills you'll gain: Unix Commands, Command-Line Interface, Unix, Bash (Scripting Language), File Management, Shell Script, Linux Commands

      4.5
      Rating, 4.5 out of 5 stars
      Ā·
      379 reviews

      Beginner Ā· Guided Project Ā· Less Than 2 Hours

    • A

      Amazon

      Data Structures and Algorithms

      Skills you'll gain: JUnit, Test Driven Development (TDD), Version Control, Git (Version Control System), GitHub, Performance Tuning, Unit Testing, Data Structures, Development Testing, Algorithms, Program Development, Software Testing, Java, Computer Programming, Programming Principles, Debugging, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      Ā·
      28 reviews

      Beginner Ā· Course Ā· 1 - 4 Weeks

    • C

      Columbia University

      The Construction Industry: The Way Forward

      Skills you'll gain: Construction, Business Transformation, Innovation, Architecture and Construction, Construction Management, Workforce Development, Civil Engineering, Emerging Technologies, Digital Transformation, Thought Leadership, Building Information Modeling, Automation, Data-Driven Decision-Making, Sustainability Reporting, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      Ā·
      361 reviews

      Beginner Ā· Course Ā· 1 - 3 Months

    • P

      Peking University

      ē®—ę³•åŸŗē”€

      Skills you'll gain: Algorithms, Programming Principles, Computer Programming, Computational Thinking, Graph Theory, Data Structures, Design Strategies

      4.8
      Rating, 4.8 out of 5 stars
      Ā·
      321 reviews

      Mixed Ā· Course Ā· 1 - 3 Months

    • U

      University of Leeds

      An Introduction to Logic for Computer Science

      Skills you'll gain: Logical Reasoning, Deductive Reasoning, Computational Logic, Computational Thinking, Algorithms, Theoretical Computer Science, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      Ā·
      25 reviews

      Beginner Ā· Course Ā· 1 - 4 Weeks

    • I

      Instituto Tecnológico de AeronÔutica

      Desenvolvimento Ɓgil com PadrƵes de Projeto

      Skills you'll gain: Object Oriented Programming (OOP), Software Design Patterns, Object Oriented Design, Java, Software Design, Dependency Analysis, Test Driven Development (TDD)

      4.7
      Rating, 4.7 out of 5 stars
      Ā·
      75 reviews

      Intermediate Ā· Course Ā· 1 - 4 Weeks

    • I

      IBM

      Scalable Machine Learning on Big Data using Apache Spark

      Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage, Data Pipelines, Machine Learning Algorithms, Distributed Computing, Data Processing, Exploratory Data Analysis, Statistical Analysis

      3.8
      Rating, 3.8 out of 5 stars
      Ā·
      1.3K reviews

      Intermediate Ā· Course Ā· 1 - 4 Weeks

    • S

      Scrimba

      Learn JavaScript

      Skills you'll gain: JSON, Event-Driven Programming, Javascript, Mobile Development, Data Structures, Object Oriented Programming (OOP), Web Applications, Programming Principles, Data Storage Technologies, Data Storage, User Interface (UI), Debugging

      4.7
      Rating, 4.7 out of 5 stars
      Ā·
      137 reviews

      Beginner Ā· Course Ā· 1 - 3 Months

    • A

      Amazon Web Services

      Exam Prep: AWS Certified Cloud Practitioner Foundations

      Skills you'll gain: Amazon Web Services, AWS Identity and Access Management (IAM), Cloud Computing Architecture, Amazon Elastic Compute Cloud, Cloud Infrastructure, Cloud Security, Cloud Services, Amazon S3, Cloud Computing, Infrastructure As A Service (IaaS), Scalability

      4.6
      Rating, 4.6 out of 5 stars
      Ā·
      105 reviews

      Beginner Ā· Course Ā· 1 - 4 Weeks

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

    • IntelĀ® Network Academy - Network Transformation 101:Ā Intel
    • Classify Images of Clouds in the Cloud with AutoML Vision:Ā Google Cloud
    • Explainable AI (XAI):Ā Duke University
    • Practical Introduction to the Command Line:Ā Coursera Project Network
    • Data Structures and Algorithms:Ā Amazon
    • The Construction Industry: The Way Forward:Ā Columbia University
    • ē®—ę³•åŸŗē”€:Ā Peking University
    • An Introduction to Logic for Computer Science:Ā University of Leeds
    • Desenvolvimento Ɓgil com PadrƵes de Projeto:Ā Instituto Tecnológico de AeronĆ”utica
    • Scalable Machine Learning on Big Data using Apache Spark:Ā IBM

    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 systemsā€Ž

    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.ā€Ž

    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 ā€Ž

    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 technologyā€Ž

    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.ā€Ž

    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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