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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 Michigan

      Programación para todos (Introducción a Python)

      Skills you'll gain: Programming Principles, Software Installation, Python Programming, Computer Programming, Computational Thinking, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      242 reviews

      Mixed · Course · 1 - 3 Months

    • E

      EC-Council

      Ethical Hacking Essentials (EHE)

      Skills you'll gain: Penetration Testing, Cloud Security, Vulnerability Assessments, Network Security, Threat Detection, Security Awareness, Cybersecurity, Application Security, Mobile Security, Internet Of Things, Authentications, Encryption, Wireless Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      542 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Virginia

      Managing an Agile Team

      Skills you'll gain: Agile Software Development, Agile Methodology, Agile Project Management, Team Performance Management, Team Management, Team Building, Team Leadership, Sprint Retrospectives, Backlogs, User Story, Kanban Principles, Sales Presentation, Lean Methodologies, Process Improvement, Selling Techniques, Prioritization, Discussion Facilitation, Decision Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      P

      Princeton University

      Algorithms, Part I

      Skills you'll gain: Data Structures, Algorithms, Java, Performance Testing, Computer Programming, Theoretical Computer Science, Object Oriented Programming (OOP), Computational Thinking

      4.9
      Rating, 4.9 out of 5 stars
      ·
      12K reviews

      Intermediate · Course · 3 - 6 Months

    • U

      University of California, Santa Cruz

      Bayesian Statistics: Techniques and Models

      Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Data Analysis, Probability, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      490 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      The 3D Printing Revolution

      Skills you'll gain: 3D Modeling, Emerging Technologies, Manufacturing and Production, Manufacturing Processes, Industrial Design, Prototyping, Entrepreneurship, Business Economics, Innovation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Hands-on Internet of Things

      Skills you'll gain: Internet Of Things, Networking Hardware, Network Infrastructure, Network Routers, General Networking, Embedded Software, Network Switches, Network Protocols, Network Architecture, Cloud Infrastructure, Wireless Networks, Infrastructure Security, Local Area Networks, Wide Area Networks, Virtual Local Area Network (VLAN), Emerging Technologies, Data Science, Telecommunications, Embedded Systems, Distributed Computing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      584 reviews

      Intermediate · Specialization · 3 - 6 Months

    • M

      Microsoft

      Introduction to Secure Networking

      Skills you'll gain: Network Security, Network Protocols, TCP/IP, Cloud Computing, Firewall, General Networking, Networking Hardware, Network Architecture, OSI Models, Microsoft Azure, Computer Networking, Network Infrastructure, Local Area Networks, Software As A Service, Virtual Machines, Virtualization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      216 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Landing.AI for Beginners: Build Data Visualization AI Models

      Skills you'll gain: Generative AI, Image Analysis, Application Deployment, Computer Vision, Visualization (Computer Graphics), Applied Machine Learning, Cloud Computing, Deep Learning, Supervised Learning

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Google AR & VR

      Introduction to Augmented Reality and ARCore

      Skills you'll gain: Augmented Reality, Augmented and Virtual Reality (AR/VR), Virtual Environment, Unity Engine, Mobile Development, User Experience, Human Computer Interaction, Computer Vision, User Interface and User Experience (UI/UX) Design, User Flows

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • A

      Advancing Women in Tech

      Real-World Product Management

      Skills you'll gain: Product Roadmaps, Product Management, Customer Retention, Cross-Functional Team Leadership, Professional Networking, Financial Analysis, Product Strategy, Technical Product Management, Product Requirements, Product Development, Financial Statement Analysis, Product Lifecycle Management, New Product Development, Innovation, Team Leadership, User Experience Design, Artificial Intelligence and Machine Learning (AI/ML), Performance Management, Interviewing Skills, Branding

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      893 reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Introduction to Cybersecurity Essentials

      Skills you'll gain: Cybersecurity, Cyber Attacks, Security Awareness, Hardening, Data Security, Computer Security Awareness Training, Network Security, Personally Identifiable Information, Information Systems Security, Security Controls, Threat Management, Malware Protection, Information Privacy, Encryption, Multi-Factor Authentication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      903 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Programación para todos (Introducción a Python): University of Michigan
    • Ethical Hacking Essentials (EHE): EC-Council
    • Managing an Agile Team: University of Virginia
    • Algorithms, Part I: Princeton University
    • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
    • The 3D Printing Revolution: University of Illinois Urbana-Champaign
    • Hands-on Internet of Things: University of Illinois Urbana-Champaign
    • Introduction to Secure Networking: Microsoft
    • Landing.AI for Beginners: Build Data Visualization AI Models: Coursera Project Network
    • Introduction to Augmented Reality and ARCore: Google AR & VR

    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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