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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
      Free
      G

      Goldman Sachs

      Fundamentals of Management, with Goldman Sachs 10,000 Women

      Skills you'll gain: Human Resources Management and Planning, Employee Performance Management, Talent Management, Delegation Skills, People Management, Subcontracting, Business Strategy, Employee Training, Organizational Structure

      4.7
      Rating, 4.7 out of 5 stars
      ·
      567 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Deep Learning for Healthcare

      Skills you'll gain: Deep Learning, Health Informatics, Generative AI, Image Analysis, Machine Learning, Keras (Neural Network Library), Applied Machine Learning, Health Care, Artificial Neural Networks, Supervised Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, PyTorch (Machine Learning Library), Graph Theory, Computer Vision, Network Analysis, Machine Learning Software, Unsupervised Learning, Program Development

      3.2
      Rating, 3.2 out of 5 stars
      ·
      45 reviews

      Advanced · Specialization · 1 - 3 Months

    • C

      Coursera Instructor Network

      GenAI for Everyone

      Skills you'll gain: Generative AI, Data Ethics, ChatGPT, Artificial Intelligence, Ideation, Brainstorming, AI Personalization, Prompt Engineering, Workforce Development, Content Creation, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      62 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      B

      Board Infinity

      ASP.NET for Experienced Developers

      Skills you'll gain: C# (Programming Language), ASP.NET, .NET Framework, Object Oriented Programming (OOP), Docker (Software), Restful API, Azure DevOps, Model View Controller, JSON, Containerization, Microservices, Web Services, DevOps, Middleware, Computer Programming, Web Applications, Back-End Web Development, CI/CD, Programming Principles, Server Side

      4.1
      Rating, 4.1 out of 5 stars
      ·
      336 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Comparing Genes, Proteins, and Genomes (Bioinformatics III)

      Skills you'll gain: Bioinformatics, Molecular Biology, Algorithms, Computational Thinking, Computer Programming Tools, Biology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      136 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      É

      École Polytechnique Fédérale de Lausanne

      Digital Signal Processing 3: Analog vs Digital

      Skills you'll gain: Digital Communications, Electrical and Computer Engineering, Electronics Engineering, Electronics, Numerical Analysis, Engineering Analysis, Telecommunications, Linear Algebra, Calculus, Mathematical Modeling, Quantitative Research, Systems Of Measurement, Applied Mathematics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      89 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      Cybersecurity Foundations for Risk Management

      Skills you'll gain: Cyber Governance, Vulnerability Management, Cyber Attacks, Cybersecurity, Cyber Risk, Threat Management, Security Management, Vulnerability Assessments, Threat Detection, Cyber Security Strategy, Risk Management, Security Awareness, Information Systems Security, Cyber Operations, Incident Response, Network Security, Asset Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      121 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Introduction to C++ Programming and Unreal

      Skills you'll gain: Unreal Engine, Object Oriented Programming (OOP), C++ (Programming Language), Debugging, Computer Programming, Video Game Development, Game Design, Development Environment, Software Documentation, Data Storage, Scripting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      175 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      Intel

      Intel® Network Academy - Network Transformation 101

      Skills you'll gain: Software-Defined Networking, Computer Networking, Network Infrastructure, Infrastructure Architecture, Network Architecture, General Networking, Virtualization, Virtualization and Virtual Machines, Digital Transformation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      496 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      B

      Board Infinity

      Fundamentals of Static Testing

      Skills you'll gain: Software Testing, Test Planning, Code Review, Software Technical Review, Software Quality Assurance, Test Case, Quality Assurance, Requirements Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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)

      3.7
      Rating, 3.7 out of 5 stars
      ·
      25 reviews

      Advanced · Specialization · 1 - 3 Months

    • E

      EIT Digital

      Software Architecture for the Internet of Things

      Skills you'll gain: Software Architecture, Functional Requirement, Requirements Analysis, Internet Of Things, Software Design Patterns, User Requirements Documents, Android Development, Application Frameworks, Maintainability, Interoperability, Software Quality (SQA/SQC)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      250 reviews

      Mixed · Course · 1 - 3 Months

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

    • Fundamentals of Management, with Goldman Sachs 10,000 Women: Goldman Sachs
    • Deep Learning for Healthcare: University of Illinois Urbana-Champaign
    • GenAI for Everyone: Coursera Instructor Network
    • ASP.NET for Experienced Developers: Board Infinity
    • Comparing Genes, Proteins, and Genomes (Bioinformatics III): University of California San Diego
    • Digital Signal Processing 3: Analog vs Digital: École Polytechnique Fédérale de Lausanne
    • Cybersecurity Foundations for Risk Management: Kennesaw State University
    • Introduction to C++ Programming and Unreal: University of Colorado System
    • Intel® Network Academy - Network Transformation 101: Intel
    • Fundamentals of Static Testing: Board Infinity

    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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