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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
      Free
      U

      University of Glasgow

      Biomedical Visualisation

      Skills you'll gain: Visualization (Computer Graphics), Medical Terminology, Augmented and Virtual Reality (AR/VR), Anatomy, Computer Graphics, Virtual Reality, Animations, Image Analysis, Biology, Medical Imaging, Augmented Reality

      4.6
      Rating, 4.6 out of 5 stars
      ·
      500 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Natural Language Processing with Attention Models

      Skills you'll gain: Natural Language Processing, PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Tensorflow, Machine Learning Methods, Artificial Intelligence, Artificial Neural Networks, Text Mining, Data Processing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      Microsoft

      Artificial Intelligence on Microsoft Azure

      Skills you'll gain: Anomaly Detection, Computer Vision, Artificial Intelligence, Microsoft Azure, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      765 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Stanford University

      Fundamentals of Machine Learning for Healthcare

      Skills you'll gain: Healthcare Ethics, Data Ethics, Statistical Machine Learning, Applied Machine Learning, Machine Learning, Artificial Neural Networks, Healthcare Industry Knowledge, Health Care, Health Technology, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Reinforcement Learning, Health Informatics, Deep Learning, Data Processing, Image Analysis, Data Quality

      4.8
      Rating, 4.8 out of 5 stars
      ·
      550 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google

      The Nuts and Bolts of Machine Learning

      Skills you'll gain: Feature Engineering, Applied Machine Learning, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Unsupervised Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Data Analysis, Performance Tuning, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      507 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      H

      Hebrew University of Jerusalem

      Synapses, Neurons and Brains

      Skills you'll gain: Artificial Neural Networks, Neurology, Computer Science, Psychology, Basic Electrical Systems, Network Analysis, Anatomy, Simulation and Simulation Software, Computational Thinking, Mathematical Modeling, Biology

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

      Mixed · Course · 1 - 3 Months

    • B

      Board Infinity

      Introduction to Technical Writing

      Skills you'll gain: Technical Writing, Technical Documentation, Technical Communication, Software Documentation, Graphic and Visual Design, Design Elements And Principles, Typography, Augmented and Virtual Reality (AR/VR), Collaborative Software, Proofreading, Peer Review, Multimedia, Version Control

      4.3
      Rating, 4.3 out of 5 stars
      ·
      310 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      M

      Macquarie University

      Artificial Intelligence (AI) Education for Teachers

      Skills you'll gain: Computational Thinking, Design Thinking, Artificial Intelligence, Creativity, Ethical Standards And Conduct, Machine Learning, Data Quality, Computer Science, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      858 reviews

      Beginner · Course · 1 - 3 Months

    • L

      LearnQuest

      Introduction to Scrum Master Training

      Skills you'll gain: User Story, Agile Methodology, Sprint Planning, Agile Project Management, Backlogs, Sprint Retrospectives, Waterfall Methodology, Meeting Facilitation, Estimation, Cross-Functional Collaboration

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.2K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      Applied Text Mining in Python

      Skills you'll gain: Text Mining, Natural Language Processing, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Processing, Feature Engineering, Data Manipulation, Data Cleansing, Unsupervised Learning, Supervised Learning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      3.8K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Cape Town

      Disability Inclusion in Education: Building Systems of Support

      Skills you'll gain: Disabilities, Visual Impairment Education, Developmental Disabilities, Special Education, Individualized Education Programs (IEP), Instructional Strategies, Student Support and Services, Teaching, Social Justice, Differentiated Instruction, Diversity Equity and Inclusion Initiatives, Working With Children, Advocacy

      4.9
      Rating, 4.9 out of 5 stars
      ·
      795 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      The Structured Query Language (SQL)

      Skills you'll gain: SQL, Database Systems, Database Theory, Database Management, Query Languages, Database Design, Relational Databases, Data Access, Data Analysis, Data Manipulation, Data Modeling, Data Integrity

      Build toward a degree

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

      Beginner · Course · 1 - 3 Months

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

    • Biomedical Visualisation: University of Glasgow
    • Natural Language Processing with Attention Models: DeepLearning.AI
    • Artificial Intelligence on Microsoft Azure: Microsoft
    • Fundamentals of Machine Learning for Healthcare: Stanford University
    • The Nuts and Bolts of Machine Learning: Google
    • Synapses, Neurons and Brains : Hebrew University of Jerusalem
    • Introduction to Technical Writing: Board Infinity
    • Artificial Intelligence (AI) Education for Teachers: Macquarie University
    • Introduction to Scrum Master Training: LearnQuest
    • Applied Text Mining in Python: University of Michigan

    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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