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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 Alberta

      Reviews & Metrics for Software Improvements

      Skills you'll gain: Sprint Retrospectives, Scrum (Software Development), Software Technical Review, Code Review, Agile Project Management, Software Quality Assurance, Agile Methodology, User Story, Debugging, Issue Tracking, Requirements Analysis, Usability Testing, User Research, Data-Driven Decision-Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.7K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Browser-based Models with TensorFlow.js

      Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, JSON, Applied Machine Learning, Javascript, Artificial Neural Networks, Deep Learning, Data Processing, Real Time Data, Web Applications

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Python Programming Fundamentals

      Skills you'll gain: Version Control, GitHub, Debugging, Git (Version Control System), Unit Testing, Data Structures, Python Programming, Software Testing, Programming Principles, Scripting, Computer Programming, Web Development, Algorithms, Program Development, Development Environment, Scripting Languages, Integrated Development Environments, Object Oriented Programming (OOP), Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      187 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Design Principles: an Introduction

      Skills you'll gain: Graphic and Visual Design, Usability Testing, User Interface (UI) Design, Design, Experimentation, Interaction Design, Human Computer Interaction, User Experience Design, Prototyping, Design Elements And Principles, Human Centered Design, Web Design and Development, Typography, Design Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Columbia University

      3D Reconstruction - Multiple Viewpoints

      Skills you'll gain: Image Analysis, Computer Graphics, Virtual Reality, Computer Vision, Visualization (Computer Graphics), Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      40 reviews

      Beginner · Course · 1 - 3 Months

    • N

      Nanjing University

      Data Processing Using Python

      Skills you'll gain: Data Processing, Data Mining, Data Structures, Data Presentation, Object Oriented Programming (OOP), Web Scraping, Data Analysis, Python Programming, Pandas (Python Package), NumPy, Data Visualization, Data Import/Export, Data Manipulation, Matplotlib, User Interface (UI) Design

      4.1
      Rating, 4.1 out of 5 stars
      ·
      373 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      The Nuts and Bolts of Machine Learning

      Skills you'll gain: Feature Engineering, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Unsupervised Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Data Analysis, Performance Tuning, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      517 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Codio

      C++ Basics: Selection and Iteration

      Skills you'll gain: Programming Principles, C++ (Programming Language), Computer Programming, Integrated Development Environments, Pseudocode

      4.6
      Rating, 4.6 out of 5 stars
      ·
      936 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Ordered Data Structures

      Skills you'll gain: Data Structures, Algorithms, Database Systems, Database Theory, Theoretical Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      920 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Mastering Software Development in R

      Skills you'll gain: Ggplot2, Software Documentation, Open Source Technology, Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, Leaflet (Software), R Programming, Datamaps, Visualization (Computer Graphics), Data Cleansing, Interactive Data Visualization, Data Transformation, Object Oriented Programming (OOP), GitHub, Version Control, Debugging, Functional Design

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.5K reviews

      Beginner · Specialization · 3 - 6 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

    Computer Vision learners also search

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

    • Reviews & Metrics for Software Improvements: University of Alberta
    • Browser-based Models with TensorFlow.js: DeepLearning.AI
    • The Structured Query Language (SQL): University of Colorado Boulder
    • Python Programming Fundamentals: Microsoft
    • Design Principles: an Introduction: University of California San Diego
    • 3D Reconstruction - Multiple Viewpoints: Columbia University
    • Data Processing Using Python: Nanjing University
    • The Nuts and Bolts of Machine Learning: Google
    • C++ Basics: Selection and Iteration: Codio
    • Ordered Data Structures: University of Illinois Urbana-Champaign

    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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