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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
      A

      Alberta Machine Intelligence Institute

      Machine Learning: Algorithms in the Real World

      Skills you'll gain: Supervised Learning, Feature Engineering, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Data Quality, Data Processing, MLOps (Machine Learning Operations), Jupyter, Data Validation, Machine Learning, Business Operations, Data Cleansing, Product Lifecycle Management, Ethical Standards And Conduct, Classification And Regression Tree (CART), Data Transformation, Operational Analysis, Verification And Validation, Business Strategy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      State Estimation and Localization for Self-Driving Cars

      Skills you'll gain: Global Positioning Systems, Estimation, Machine Learning Methods, Computer Vision, Spatial Data Analysis, Mathematical Modeling, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      835 reviews

      Advanced · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Introduction to HTML

      Skills you'll gain: Hypertext Markup Language (HTML), Front-End Web Development, Web Design and Development, Web Development, Web Development Tools, Web Applications, Web Content, Integrated Development Environments

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Python Programming Essentials

      Skills you'll gain: Programming Principles, Python Programming, Development Environment, Computer Programming, Integrated Development Environments, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI for Good

      Skills you'll gain: Disaster Recovery, Data Analysis, Jupyter, Exploratory Data Analysis, Data Ethics, Image Analysis, Emergency Response, Artificial Intelligence, Machine Learning, Predictive Modeling, Applied Machine Learning, Mitigation, Text Mining, Environmental Monitoring, Natural Language Processing, Unstructured Data, Information Privacy, Deep Learning, Data Processing, Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      465 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Algorithms on Strings

      Skills you'll gain: Bioinformatics, Algorithms, Data Structures, Theoretical Computer Science, Computational Thinking, Precision Medicine, Life Sciences

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Meta

      Introduction to Android Mobile Application Development

      Skills you'll gain: Android Studio, Android Development, Android (Operating System), Mobile Development, Gradle, Application Development, Integrated Development Environments, Development Environment, Virtual Environment, Extensible Markup Language (XML), UI Components

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Containers w/ Docker, Kubernetes & OpenShift

      Skills you'll gain: Istio, Kubernetes, Cloud-Native Computing, Containerization, OpenShift, Docker (Software), Application Deployment, CI/CD, Command-Line Interface, YAML, Microservices, Scalability

      4.4
      Rating, 4.4 out of 5 stars
      ·
      964 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Java Programming: Principles of Software Design

      Skills you'll gain: Object Oriented Programming (OOP), Java, Software Engineering, Computer Programming, Software Design, Predictive Modeling, Algorithms, Data Structures, Performance Testing, Debugging, Application Programming Interface (API)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Applied Cryptography

      Skills you'll gain: Data Encryption Standard, Public Key Infrastructure, Cryptography, Public Key Cryptography Standards (PKCS), Key Management, Advanced Encryption Standard (AES), Cryptographic Protocols, Encryption, Data Integrity, Cybersecurity, Computer Security, Authentications, Data Security, Theoretical Computer Science, Algorithms, Digital Communications

      4.6
      Rating, 4.6 out of 5 stars
      ·
      863 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Developing Back-End Apps with Node.js and Express

      Skills you'll gain: Node.JS, Server Side, Restful API, Back-End Web Development, JavaScript Frameworks, Cloud Applications, Web Applications, Application Programming Interface (API), Web Servers, Javascript, Authentications, Package and Software Management, JSON, Middleware

      4.5
      Rating, 4.5 out of 5 stars
      ·
      529 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      G

      Google Cloud

      Google Cloud Cybersecurity

      Skills you'll gain: Cloud Security, Identity and Access Management, Intrusion Detection and Prevention, Computer Security Incident Management, Threat Management, Cyber Threat Hunting, Risk Management Framework, Cyber Attacks, Cyber Operations, Vulnerability Management, Continuous Monitoring, Event Monitoring, Disaster Recovery, Incident Management, Generative AI, DevSecOps, Cloud Computing, Data Security, Google Cloud Platform, Cybersecurity

      4.6
      Rating, 4.6 out of 5 stars
      ·
      320 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    Computer Vision learners also search

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

    • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
    • State Estimation and Localization for Self-Driving Cars: University of Toronto
    • Introduction to HTML: Coursera Project Network
    • Python Programming Essentials: Rice University
    • AI for Good: DeepLearning.AI
    • Algorithms on Strings: University of California San Diego
    • Introduction to Android Mobile Application Development : Meta
    • Introduction to Containers w/ Docker, Kubernetes & OpenShift: IBM
    • Java Programming: Principles of Software Design: Duke University
    • Applied Cryptography: University of Colorado System

    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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