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    • Opencv

    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

    • I

      IBM

      Introduction to Computer Vision and Image Processing

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, IBM Cloud, Keras (Neural Network Library), Cloud Applications, Deep Learning, Tensorflow, Visualization (Computer Graphics), PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Computer Programming, Application Deployment, Augmented Reality, Machine Learning, Data Processing

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

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      E

      Edge Impulse

      Computer Vision with Embedded Machine Learning

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Embedded Systems, Deep Learning, Data Ethics, Machine Learning, Artificial Intelligence, Python Programming, Data Collection, Performance Testing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      150 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Toronto

      Self-Driving Cars

      Skills you'll gain: Computer Vision, Image Analysis, Control Systems, Embedded Software, Automation, Deep Learning, Software Architecture, Simulations, Safety Assurance, Artificial Neural Networks, Global Positioning Systems, Hardware Architecture, Artificial Intelligence, Estimation, Algorithms, Machine Learning Methods, Predictive Modeling, Scenario Testing, Data Structures, Spatial Data Analysis

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

      Advanced · Specialization · 3 - 6 Months

    • M

      MathWorks

      MathWorks Computer Vision Engineer

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      300 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • C

      Columbia University

      First Principles of Computer Vision

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      212 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      M

      Microsoft

      Build a computer vision app with Azure Cognitive Services

      Skills you'll gain: Application Programming Interface (API), Microsoft Azure, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), User Accounts, Image Analysis, Artificial Intelligence, Cloud Solutions

      4.4
      Rating, 4.4 out of 5 stars
      ·
      289 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    What brings you to Coursera today?

    • Status: Free
      Free
      C

      Coursera Project Network

      Deep Learning with PyTorch : Image Segmentation

      Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Computer Vision

      4.4
      Rating, 4.4 out of 5 stars
      ·
      208 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • D

      DeepLearning.AI

      Advanced Computer Vision with TensorFlow

      Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Applied Machine Learning, Deep Learning, Feature Engineering, Artificial Neural Networks, Visualization (Computer Graphics), Data Processing, Network Architecture

      4.7
      Rating, 4.7 out of 5 stars
      ·
      520 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Convolutional Neural Networks

      Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, PyTorch (Machine Learning Library), Artificial Intelligence, Data Processing, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      42K reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      MathWorks

      Introduction to Computer Vision

      Skills you'll gain: Image Analysis, Computer Vision, Matlab, Data Mapping, Geospatial Information and Technology, Feature Engineering, Medical Imaging, Visualization (Computer Graphics), Applied Machine Learning, Geometric Dimensioning And Tolerancing, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      52 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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), Visualization (Computer Graphics), Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Facial Expression Recognition with PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Image Analysis, Computer Vision, Artificial Neural Networks, Feature Engineering, Data Validation

      3.9
      Rating, 3.9 out of 5 stars
      ·
      55 reviews

      Beginner · Guided Project · Less Than 2 Hours

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    1234…9

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

    • Introduction to Computer Vision and Image Processing: IBM
    • Computer Vision with Embedded Machine Learning: Edge Impulse
    • Self-Driving Cars: University of Toronto
    • MathWorks Computer Vision Engineer: MathWorks
    • First Principles of Computer Vision: Columbia University
    • Build a computer vision app with Azure Cognitive Services: Microsoft
    • Deep Learning with PyTorch : Image Segmentation : Coursera Project Network
    • Advanced Computer Vision with TensorFlow: DeepLearning.AI
    • Convolutional Neural Networks: DeepLearning.AI
    • Introduction to Computer Vision: 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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