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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

    • G

      Google Cloud

      Gemini for Data Scientists and Analysts - Français

      Skills you'll gain: Marketing Analytics, Analytics, Customer Analysis, Generative AI, Data Analysis, Customer Insights, Google Cloud Platform, Customer Data Management, Marketing Strategies, Predictive Modeling, Customer Acquisition Management, Forecasting, Machine Learning Algorithms

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Create Image Captioning Models - Italiano

      Skills you'll gain: Image Analysis, Deep Learning, Data Modeling, Computer Vision, Artificial Neural Networks

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Gemini for Google Workspace - 한국어

      Skills you'll gain: Google Workspace, Productivity Software, Generative AI, Google Docs, Gmail, Operational Efficiency, Prompt Engineering, Google Sheets, Company, Product, and Service Knowledge

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Production Machine Learning Systems - Français

      Skills you'll gain: Tensorflow, MLOps (Machine Learning Operations), Dependency Analysis, Systems Architecture, Google Cloud Platform, Deep Learning, Applied Machine Learning, Machine Learning, Hybrid Cloud Computing, Performance Tuning, Data Validation, Distributed Computing, Scalability, Data Pipelines, Debugging

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Planning for a Google Workspace Deployment - Português

      Skills you'll gain: Change Management, Google Workspace, Data Migration, Application Deployment, User Provisioning, Technical Management, Email Security, Project Design, Administration, Cloud Computing, End User Training and Support

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Managing and Optimizing SD-Branch Networks

      Skills you'll gain: Network Performance Management, Software-Defined Networking, Network Administration, Network Routing, Wide Area Networks, Network Monitoring, Disaster Recovery, Performance Tuning, General Networking, Network Architecture, Virtual Local Area Network (VLAN), Network Planning And Design, Network Troubleshooting, Network Security, Cyber Security Assessment, Vulnerability Scanning, Continuous Monitoring, Patch Management, Application Performance Management, Network Analysis

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Encoder-Decoder Architecture - 简体中文

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Applied Machine Learning, Deep Learning, Natural Language Processing

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Capstone Project: Applying UX/UI Design in Real World

      Skills you'll gain:

      Intermediate · Course

    • Status: Free Trial
      Free Trial
      I

      IBM

      Incident Response and Defense with OpenVAS

      Skills you'll gain: Vulnerability Scanning, Threat Detection, Vulnerability Management, Vulnerability Assessments, Incident Response, Security Strategy, Threat Management, Cyber Threat Intelligence, Incident Management, Security Controls, Security Testing

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Create Image Captioning Models - 日本語版

      Skills you'll gain: Generative AI, Image Analysis, Deep Learning, PyTorch (Machine Learning Library), Keras (Neural Network Library), Computer Vision, Tensorflow

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI: Applying AI Principles with GC - Indonesia

      Skills you'll gain: Data Ethics, Artificial Intelligence, Business Ethics, Ethical Standards And Conduct, Governance, Data Governance, Regulatory Compliance, Google Cloud Platform, Compliance Management, Accountability, Decision Making, Problem Management, Stakeholder Management

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Attention Mechanism - בעברית

      Skills you'll gain: Machine Learning Methods, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

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

    • Gemini for Data Scientists and Analysts - Français: Google Cloud
    • Create Image Captioning Models - Italiano: Google Cloud
    • Introduction to Gemini for Google Workspace - 한국어: Google Cloud
    • Production Machine Learning Systems - Français: Google Cloud
    • Planning for a Google Workspace Deployment - Português: Google Cloud
    • Managing and Optimizing SD-Branch Networks: LearnQuest
    • Encoder-Decoder Architecture - 简体中文: Google Cloud
    • Capstone Project: Applying UX/UI Design in Real World : IBM
    • Incident Response and Defense with OpenVAS: IBM
    • Create Image Captioning Models - 日本語版: Google Cloud

    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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