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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 Maryland, College Park

      Sustainable Construction Management

      Skills you'll gain: Energy and Utilities, Construction Management, Construction, Architecture and Construction, Stakeholder Engagement, Facility Management, Corporate Sustainability, Building Information Modeling, Project Design, Environmental Engineering, Building Design, Project Management, Property Management, HVAC, Environment Health And Safety

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19 reviews

      Intermediate · Course · 1 - 3 Months

    • M

      Meta

      مقدمة إلى تطوير الواجهة الأمامية

      Skills you'll gain: HTML and CSS, Web Design, Bootstrap (Front-End Framework), Responsive Web Design, Front-End Web Development, Hypertext Markup Language (HTML), User Interface (UI), React.js, Interactive Design, Web Development, JavaScript Frameworks, Cascading Style Sheets (CSS), Javascript

      4.4
      Rating, 4.4 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Codio

      Multimodal Generative AI: Vision, Speech, and Assistants

      Skills you'll gain: OpenAI, Image Analysis, Generative AI, Application Programming Interface (API), Large Language Modeling, Prompt Engineering, Artificial Intelligence, Natural Language Processing, Computer Vision

      Beginner · Course · 1 - 4 Weeks

    • B

      Board Infinity

      Building a Complete MEAN Stack Application

      Skills you'll gain: Full-Stack Web Development, Node.JS, Back-End Web Development, MongoDB, Server Side, Application Deployment, Front-End Web Development, Restful API, Application Development, Authentications, Web Design and Development, Web Applications, JavaScript Frameworks, Angular, Secure Coding, Authorization (Computing), Database Development, Real Time Data, Scalability

      4
      Rating, 4 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 4 Weeks

    • X

      Xi'an Jiaotong University

      系统平台与C#程序基础

      Skills you'll gain: Program Development, Operating Systems, Debugging, Microsoft Visual Studio, Computer Hardware, Computer Science, C# (Programming Language), Computer Architecture, Object Oriented Programming (OOP), Programming Principles, Integrated Development Environments, Computational Logic, Computer Programming, System Design and Implementation

      3.9
      Rating, 3.9 out of 5 stars
      ·
      40 reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Create a Supermarket app using OOP Features in Java

      Skills you'll gain: Object Oriented Programming (OOP), Java, Java Programming, Eclipse (Software), Object Oriented Design, Program Development, Software Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      21 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • W

      Whizlabs

      AWS: Data Protection and Security Governance

      Skills you'll gain: Patch Management, Data Security, Cloud Security, Amazon Web Services, Data Governance, AWS Identity and Access Management (IAM), Cyber Governance, Cloud Management, Key Management, Amazon S3, Amazon CloudWatch, Data Encryption Standard, AWS CloudFormation, Infrastructure as Code (IaC), Public Key Infrastructure, Configuration Management

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Introduction to Accessible Web Development

      Skills you'll gain: Web Content Accessibility Guidelines, User Interface (UI), Usability, Front-End Web Development, UI Components, HTML and CSS, Semantic Web

      4.7
      Rating, 4.7 out of 5 stars
      ·
      35 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • J

      Johns Hopkins University

      Applied Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Dimensionality Reduction, Supervised Learning, Reinforcement Learning, Feature Engineering, Regression Analysis, Data Cleansing, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Advanced Analytics, Deep Learning, Artificial Neural Networks, Decision Tree Learning

      3.7
      Rating, 3.7 out of 5 stars
      ·
      7 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      I

      Illinois Tech

      Programming and Application Foundations

      Skills you'll gain: Web Development, Database Design, Relational Databases, Web Applications, Web Development Tools, Databases, Full-Stack Web Development, Application Deployment, Server Side, HTML and CSS, Back-End Web Development, Application Development, Cloud Applications, Front-End Web Development, JavaScript Frameworks, Web Servers, Scripting, Javascript, Network Protocols

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51 reviews

      Intermediate · Course · 1 - 3 Months

    • L

      LearnQuest

      Advanced Kubernetes

      Skills you'll gain: Kubernetes, Role-Based Access Control (RBAC), CI/CD, Application Deployment, Network Troubleshooting, DevOps, Performance Tuning, Scalability, Continuous Integration, Containerization, Continuous Deployment, Package and Software Management, YAML, Network Security, Network Performance Management, Cloud Management, System Monitoring, Network Monitoring, Continuous Monitoring, Git (Version Control System)

      3.6
      Rating, 3.6 out of 5 stars
      ·
      24 reviews

      Advanced · Specialization · 1 - 3 Months

    • C

      Coursera Project Network

      Machine Learning with ChatGPT: Image Classification Model

      Skills you'll gain: ChatGPT, Keras (Neural Network Library), Applied Machine Learning, Image Analysis, Machine Learning Methods, Data Import/Export, Test Data, Performance Tuning, Artificial Neural Networks, Data Processing, Deep Learning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      29 reviews

      Intermediate · Guided Project · Less Than 2 Hours

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

    • Sustainable Construction Management: University of Maryland, College Park
    • مقدمة إلى تطوير الواجهة الأمامية: Meta
    • Multimodal Generative AI: Vision, Speech, and Assistants: Codio
    • Building a Complete MEAN Stack Application: Board Infinity
    • 系统平台与C#程序基础: Xi'an Jiaotong University
    • Create a Supermarket app using OOP Features in Java: Coursera Project Network
    • AWS: Data Protection and Security Governance: Whizlabs
    • Introduction to Accessible Web Development: Coursera Project Network
    • Applied Machine Learning: Johns Hopkins University
    • Programming and Application Foundations: Illinois Tech

    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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