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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

    • U

      University of California San Diego

      Biology Meets Programming: Bioinformatics for Beginners

      Skills you'll gain: Bioinformatics, Programming Principles, Molecular Biology, Python Programming, Computational Thinking, Biology, Algorithms, Data Structures

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universiteit Leiden

      International Humanitarian Law in Theory and Practice

      Skills you'll gain: Legal Proceedings, International Relations, Conflict Management, Child Welfare, Ethical Standards And Conduct, Working With Children, Legal Research, Case Law, Investigation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.9K reviews

      Beginner · Course · 1 - 3 Months

    • M

      Microsoft

      Introduction to Microsoft Azure Cloud Services

      Skills you'll gain: Microsoft Azure, Cloud Services, Virtualization, Cloud Computing, Virtual Machines, Cloud Platforms, Cloud Storage, Cloud Infrastructure, Virtual Private Networks (VPN), Public Cloud, General Networking, Database Management Systems, Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Fundamentals of Visualization with Tableau

      Skills you'll gain: Data Visualization Software, Data Visualization, Interactive Data Visualization, Dashboard, Tableau Software, Data Presentation, Tree Maps, Data Analysis, Data Import/Export

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Embedding Sensors and Motors

      Skills you'll gain: Control Systems, Process Control, Machine Controls, Embedded Systems, Electronic Systems, Engineering, Scientific, and Technical Instruments, Embedded Software, Electronics, Automation Engineering, Hardware Design, Statistical Process Controls, Electronics Engineering, Manufacturing Processes, Basic Electrical Systems, Electrical Engineering, Electronic Components, Electrical and Computer Engineering, Power Electronics, Three-Phase, Electrical Systems

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Toronto

      Communication Strategies for a Virtual Age

      Skills you'll gain: Meeting Facilitation, Presentations, Persuasive Communication, Communication, Collaboration, Team Building, Interpersonal Communications, Business Communication, Virtual Teams, Public Speaking, Non-Verbal Communication, Telecommuting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Business Writing

      Skills you'll gain: Business Writing, Business Correspondence, Business Communication, Writing, Organizational Skills, Concision, Writing and Editing, Proofreading, Grammar, Communication, Editing, Organizational Strategy, Persuasive Communication, Verbal Communication Skills, Communication Strategies

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI for Medical Diagnosis

      Skills you'll gain: Image Analysis, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Applied Machine Learning, Medical Imaging, Machine Learning Algorithms, Computer Vision, Deep Learning, Natural Language Processing, Medical Science and Research, Radiology, Artificial Neural Networks, Probability & Statistics

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

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Introduction to Scripting in Python

      Skills you'll gain: Data Visualization Software, Plot (Graphics), Package and Software Management, Python Programming, Programming Principles, Data Processing, Data Mapping, Data Manipulation, Software Installation, Development Environment, Data Structures, File Management, Scripting, Data Storage, Data Import/Export, Program Development, Data Integration, Data Analysis, Computer Programming, Integrated Development Environments

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Object-Oriented Design

      Skills you'll gain: Object Oriented Design, Unified Modeling Language, Software Design, Object Oriented Programming (OOP), Java, Maintainability, Software Architecture, Android Development, Technical Design, Conceptual Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Get Started with Python

      Skills you'll gain: Object Oriented Programming (OOP), Data Analysis, Data Structures, Jupyter, Python Programming, NumPy, Pandas (Python Package), Programming Principles, Scripting, Data Manipulation, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.6K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Introduction to Genomic Technologies

      Skills you'll gain: Bioinformatics, Data Science, Molecular Biology, Data Analysis, Programming Principles, Computer Science, Statistical Analysis, Computational Thinking, Big Data, Software Engineering, Algorithms, Biology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.7K reviews

      Mixed · Course · 1 - 4 Weeks

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

    • Biology Meets Programming: Bioinformatics for Beginners: University of California San Diego
    • International Humanitarian Law in Theory and Practice : Universiteit Leiden
    • Introduction to Microsoft Azure Cloud Services: Microsoft
    • Fundamentals of Visualization with Tableau: University of California, Davis
    • Embedding Sensors and Motors: University of Colorado Boulder
    • Communication Strategies for a Virtual Age: University of Toronto
    • Business Writing: University of Colorado Boulder
    • AI for Medical Diagnosis: DeepLearning.AI
    • Introduction to Scripting in Python: Rice University
    • Object-Oriented Design: University of Alberta

    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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