OpenCV courses can help you learn image processing, computer vision techniques, and object detection. You can build skills in feature extraction, image manipulation, and real-time video analysis. Many courses introduce tools like Python and C++, along with libraries such as NumPy and Matplotlib, to help you implement algorithms and visualize data effectively. You'll also explore applications in areas like facial recognition, augmented reality, and autonomous vehicles, enhancing your understanding of how to leverage AI in practical scenarios.

Skills you'll gain: Computer Vision, Jupyter, Convolutional Neural Networks, Transfer Learning, Classification Algorithms, Cloud Deployment, IBM Cloud, Deep Learning, Visualization (Computer Graphics), Logistic Regression
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Image Analysis, Computer Vision, Autoencoders, Convolutional Neural Networks, Vision Transformer (ViT), Generative Adversarial Networks (GANs), Recurrent Neural Networks (RNNs), Deep Learning, Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Visualization (Computer Graphics), Machine Learning Methods, Model Deployment, Embeddings, Artificial Intelligence, Data Ethics, Data Processing, Applied Machine Learning, Linear Algebra
Build toward a degree
Intermediate · Specialization · 1 - 3 Months

Columbia University
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
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Convolutional Neural Networks, Machine Learning Methods, Matlab, Transfer Learning, Traffic Flow Optimization
Beginner · Course · 1 - 4 Weeks

University of Toronto
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Control Systems, Robotics, Embedded Software, Automation, Deep Learning, Software Architecture, Simulations, Safety Assurance, Traffic Flow Optimization, Artificial Neural Networks, Global Positioning Systems, Machine Controls, Hardware Architecture, Systems Architecture, Network Routing, Estimation, Machine Learning Methods
Advanced · Specialization · 3 - 6 Months

MathWorks
Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Transfer Learning, Deep Learning, Image Quality, Data Preprocessing, Artificial Neural Networks, Matlab, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning Methods, Machine Learning, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Traffic Flow Optimization, Data Visualization
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Computer Vision, Image Analysis, Model Evaluation, Deep Learning, Matlab, Convolutional Neural Networks, Data Preprocessing, Machine Learning Methods, Machine Learning, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Geospatial Information and Technology, Traffic Flow Optimization, Medical Imaging, Data Validation, Estimation, Algorithms
Intermediate · Specialization · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Transfer Learning, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Classification Algorithms, Model Evaluation, Visualization (Computer Graphics), Network Architecture
Intermediate · Course · 1 - 4 Weeks

Edge Impulse
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Embedded Systems, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Deep Learning, Model Deployment, Data Ethics, Data Preprocessing, Machine Learning, Computer Programming, Model Evaluation, Python Programming
Intermediate · Course · 1 - 4 Weeks

Vanderbilt University
Skills you'll gain: Generative AI, Expense Reports, Image Analysis, Expense Management, Organizational Skills, Computer Vision, Data Storytelling, Project Controls, Social Media Content, Artificial Intelligence, Photography, Prompt Engineering, Cooking
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Application Programming Interface (API), Microsoft Azure, Cloud API, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), User Accounts, Image Analysis, Artificial Intelligence, Cloud Computing, Software Development
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Convolutional Neural Networks, Transfer Learning, Image Analysis, Deep Learning, Python Programming
Intermediate · Guided Project · Less Than 2 Hours
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.‎