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    Results for "computer vision"

    • H

      Hebrew University of Jerusalem

      Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)

      Skills you'll gain: Computer Architecture, Computer Hardware, Computational Logic, Computer Programming, System Design and Implementation, Technical Design, Software Design, Program Development, Debugging, Verification And Validation, Development Environment

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3.7K reviews

      Mixed · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to Computer Vision with TensorFlow

      Skills you'll gain: Tensorflow, Computer Vision, Machine Learning Methods, Keras (Neural Network Library), Development Environment, Image Analysis, Google Cloud Platform, Deep Learning, Artificial Neural Networks

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Beginner · Project · Less Than 2 Hours

    • U

      University of Toronto

      Learn to Program: The Fundamentals

      Skills you'll gain: Programming Principles, Debugging, Software Documentation, Python Programming, Computer Programming, Program Development, Integrated Development Environments, Data Structures, File Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Machine Learning – Modern Computer Vision & Generative AI

      Skills you'll gain: Generative AI, Test Driven Development (TDD), Image Analysis, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Keras (Neural Network Library), Machine Learning, Supervised Learning, Python Programming, Development Environment, Jupyter, NumPy, Software Installation

      Intermediate · Course · 1 - 3 Months

    • U

      University of Copenhagen

      The Sustainable Development Goals – A global, transdisciplinary vision for the future

      Skills you'll gain: Environment, Natural Resource Management, Environmental Science, Sustainability Reporting, Environmental Policy, Research, Environmental Social And Corporate Governance (ESG), Systems Thinking, Public Policies, Economic Development, Economics, Stakeholder Engagement, Performance Measurement

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Y

      Yonsei University

      Introduction to TCP/IP

      Skills you'll gain: TCP/IP, Network Protocols, Network Routing, Network Security, General Networking, Intrusion Detection and Prevention, File Transfer Protocol (FTP), Dynamic Host Configuration Protocol (DHCP), Network Architecture, System Configuration, Network Analysis

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

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      P

      Princeton University

      Computer Architecture

      Skills you'll gain: Microarchitecture, Computer Architecture, Hardware Architecture, Computer Engineering, Systems Architecture, Computer Science, Distributed Computing, Operating Systems, Performance Tuning, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.6K reviews

      Advanced · Course · 3 - 6 Months

    • C

      Coursera Project Network

      Implementando modelo Computer Vision en Amazon Sagemaker

      Skills you'll gain: Amazon Web Services, Amazon S3, Computer Vision, Cloud Computing, Image Analysis, Application Deployment

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      Python for Data Science, AI & Development

      Skills you'll gain: Jupyter, Python Programming, Data Structures, Web Scraping, Data Manipulation, Programming Principles, Pandas (Python Package), Computer Programming, Object Oriented Programming (OOP), Restful API, NumPy, Application Programming Interface (API), Data Analysis, Data Import/Export, File Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      41K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Software Engineering

      Skills you'll gain: Software Development Life Cycle, Software Architecture, Software Design, Scrum (Software Development), Software Engineering, Software Design Patterns, Agile Methodology, Software Development, Programming Principles, Application Development, Cloud Development, Web Development, Back-End Web Development, Front-End Web Development, Computer Programming, Integrated Development Environments, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Cybersecurity Analyst

      Skills you'll gain: Cyber Threat Hunting, Incident Response, IT Service Management, Identity and Access Management, Cloud Computing, Information Technology Infrastructure Library, Endpoint Security, Malware Protection, Penetration Testing, Linux, Computer Security Incident Management, Database Management, Network Security, Networking Hardware, TCP/IP, Cybersecurity, Intrusion Detection and Prevention, Cyber Threat Intelligence, Interviewing Skills, Cyber Security Assessment

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      26K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I
      I

      Multiple educators

      IBM and ISC2 Cybersecurity Specialist

      Skills you'll gain: Software Development Life Cycle, Computing Platforms, Network Security, Incident Response, Cloud Computing Architecture, Penetration Testing, Computer Security Incident Management, Cloud Services, Business Continuity, Security Controls, Disaster Recovery, Peripheral Devices, Configuration Management, Cybersecurity, Cloud Security, Cloud Applications, Cloud Platforms, Network Protocols, Cloud Computing, Security Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    Searches related to computer vision

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    1…456…467

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

    • Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course): Hebrew University of Jerusalem
    • Introduction to Computer Vision with TensorFlow: Google Cloud
    • Learn to Program: The Fundamentals: University of Toronto
    • Machine Learning – Modern Computer Vision & Generative AI: Packt
    • The Sustainable Development Goals – A global, transdisciplinary vision for the future: University of Copenhagen
    • Introduction to TCP/IP: Yonsei University
    • Computer Architecture: Princeton University
    • Implementando modelo Computer Vision en Amazon Sagemaker: Coursera Project Network
    • Python for Data Science, AI & Development: IBM
    • Introduction to Software Engineering: IBM

    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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