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OpenCV Courses Online

Learn OpenCV for computer vision and image processing. Understand how to use OpenCV libraries for tasks like object detection, image recognition, and video analysis.

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Explore the OpenCV Course Catalog

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Computer Vision

    Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Multimodal Prompts, Generative Model Architectures, Visualization (Computer Graphics), Keras (Neural Network Library), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Ethics, Computer Science, Tensorflow, Responsible AI, Data Science, Data Analysis, Artificial Intelligence, Applied Machine Learning, Data Processing, Data Transformation, Linear Algebra

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    12 reviews

    Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Image Analysis, Jupyter, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Machine Learning Algorithms, Machine Learning, Computer Programming, Cloud Development, Visualization (Computer Graphics), Cloud Applications, Data Processing, Application Deployment, Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    E

    Edge Impulse

    Computer Vision with Embedded Machine Learning

    Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Embedded Systems, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Embedded Software, Deep Learning, Data Ethics, Machine Learning, Computer Programming, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    154 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    First Principles of Computer Vision

    Skills you'll gain: Computer Vision, Image Quality, Image Analysis, Computer Graphics, 3D Modeling, Photography, Virtual Reality, Visualization (Computer Graphics), Medical Imaging, Artificial Neural Networks, Unsupervised Learning, Graph Theory, Dimensionality Reduction, Mathematical Modeling, Estimation, Machine Learning Algorithms, Color Theory, Algorithms, Automation Engineering, Electronic Components

    4.7
    Rating, 4.7 out of 5 stars
    ·
    225 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Self-Driving Cars

    Skills you'll gain: Computer Vision, Image Analysis, Control Systems, Automation, Deep Learning, Simulation and Simulation Software, Software Architecture, Safety Assurance, Artificial Neural Networks, Global Positioning Systems, Hardware Architecture, Systems Architecture, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Estimation, Algorithms, Machine Learning Methods, Simulations, Scenario Testing, Data Structures

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Object Tracking and Motion Detection with Computer Vision

    Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Matlab, Motion Graphics, Artificial Intelligence and Machine Learning (AI/ML), Medical Imaging, Visualization (Computer Graphics)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    32 reviews

    Beginner · Course · 1 - 4 Weeks

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  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Deep Learning for Computer Vision

    Skills you'll gain: Keras (Neural Network Library), Tensorflow

    Build toward a degree

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Apply Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Image Analysis, Responsible AI, Data Ethics, Computer Vision, Deep Learning, Unsupervised Learning, Information Privacy, Data Synthesis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    546 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    MathWorks Computer Vision Engineer

    Skills you'll gain: Computer Vision, Image Analysis, Anomaly Detection, Applied Machine Learning, Deep Learning, Image Quality, Artificial Neural Networks, Unsupervised Learning, Matlab, Application Deployment, PyTorch (Machine Learning Library), Machine Learning, Motion Graphics, Supervised Learning, Data Visualization, Automation, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    329 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Computer Vision for Engineering and Science

    Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Matlab, Applied Machine Learning, Machine Learning, Motion Graphics, Supervised Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Geospatial Information and Technology, Data Integration, Medical Imaging, Data Validation, Estimation, Machine Learning Methods, Performance Tuning, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    89 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    GPT Vision: Seeing the World through Generative AI

    Skills you'll gain: ChatGPT, Generative AI, Data Synthesis, Image Analysis, Data Capture, OpenAI, Data Analysis, Organizational Skills, Computer Vision, AI Personalization, Artificial Intelligence, Prompt Engineering, Automation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    206 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Advanced Computer Vision with TensorFlow

    Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Keras (Neural Network Library), Deep Learning, Heat Maps, Network Architecture

    4.7
    Rating, 4.7 out of 5 stars
    ·
    527 reviews

    Intermediate · Course · 1 - 4 Weeks

OpenCV learners also search

Vision
Computer Vision
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1234…9

In summary, here are 10 of our most popular opencv courses

  • Computer Vision: University of Colorado Boulder
  • Introduction to Computer Vision and Image Processing: IBM
  • Computer Vision with Embedded Machine Learning: Edge Impulse
  • First Principles of Computer Vision: Columbia University
  • Self-Driving Cars: University of Toronto
  • Object Tracking and Motion Detection with Computer Vision: MathWorks
  • Deep Learning for Computer Vision: University of Colorado Boulder
  • Apply Generative Adversarial Networks (GANs): DeepLearning.AI
  • MathWorks Computer Vision Engineer: MathWorks
  • Computer Vision for Engineering and Science: MathWorks

Frequently Asked Questions about Opencv

Open CV is a library that focuses on real-time applications and programming functions primarily designed to enable computer vision (CV), a field of study that falls under the artificial intelligence (AI) umbrella. CV is a field of computer science that focuses on making it possible for computers to process and identify images in a manner similar to how humans do. OpenCV is an open-source library that was created to give users an infrastructure to use for computer vision applications. It has thousands of algorithms, which are useful for recognizing faces, tracking moving objects, tracking camera movements, and more. It's used by well-known companies like Google and IBM, as well as startups like VideoSurf and Zeitera, according to the OpenCV website.‎

If you're interested in AI and CV, learning OpenCV makes good sense because it has the tools you need to explore and leverage the power of CV for applications. It can be used for deep learning, facial recognition, and image analysis. It’s a broad area of study with many different applications, and OpenCV provides free access to one of the largest CV libraries, opening up the CV world to you once you're proficient in it.‎

Careers in the AI and machine learning arena, including researchers, programmers, engineers, and developers, all use computer vision, making OpenCV a useful skill if you're aiming to break into one of these fields. Many CV jobs do require a degree in computer science and experience working with OpenCV or other libraries. This is a field that's steadily been growing in demand, with an average annual salary of $148,327 in the US for a computer vision engineer as of 2021, according to Indeed.com.‎

By taking online courses about OpenCV, you empower yourself to gain the skills to break into the CV field. You have the opportunity to learn how to navigate OpenCV as well as gain a better understanding of CV as a whole, along with machine learning and AI. You might explore courses that help you learn AI functions like deep learning or gain real-world experience in object detection with OpenCV and Python or pursue IBM applied AI certification, for example.‎

Online OpenCV courses offer a convenient and flexible way to enhance your knowledge or learn new OpenCV skills. Choose from a wide range of OpenCV courses offered by top universities and industry leaders tailored to various skill levels.‎

When looking to enhance your workforce's skills in OpenCV, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

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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