Computer vision courses can help you learn image processing, object detection, facial recognition, and video analysis. You can build skills in feature extraction, image classification, and deep learning techniques. Many courses introduce tools like OpenCV, TensorFlow, and PyTorch, that support implementing algorithms and developing applications that leverage artificial intelligence and AI for visual data interpretation.

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, Cloud Computing, Software Development
Intermediate · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Image Analysis, Computer Vision, Artificial Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Computer Vision, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Computer Vision, Applied Machine Learning, Deep Learning, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Machine Learning Methods, Computer Vision, Machine Learning
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Medical Imaging, Machine Learning, Computer Vision, X-Ray Computed Tomography
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Exploratory Data Analysis, Deep Learning, Plot (Graphics), Artificial Neural Networks, Matplotlib, Data Cleansing, Data Analysis, Tensorflow, Natural Language Processing, Data Processing, Data Manipulation, Python Programming, Machine Learning
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Keras (Neural Network Library), Deep Learning, Image Analysis, Tensorflow, Computer Vision, Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Predictive Modeling, Machine Learning, Data Processing, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Image Analysis, Amazon Web Services, Image Quality, Computer Vision, Anomaly Detection, Software Quality Assurance, Data Science, Machine Learning, Cloud Computing
Beginner · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Hypertext Markup Language (HTML), Front-End Web Development, Web Design and Development, Web Development, Web Development Tools, Web Applications, Web Content, Integrated Development Environments
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Text Mining, Data Cleansing, PyTorch (Machine Learning Library), Data Manipulation, Data Processing, Performance Tuning, Deep Learning, Natural Language Processing, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: No-Code Development, Mobile Development, Google Sheets, Application Development, Application Design, Application Deployment, Data Structures, User Accounts, Personalized Service, User Feedback, Web Development, Marketing
Beginner · Guided Project · Less Than 2 Hours
Browse the computer vision courses below—popular starting points on Coursera.
Coursera’s computer vision courses offer learners a deep dive into the technology and techniques used to interpret and process images and videos:
Computer vision courses are structured to accommodate learners with varying levels of expertise:
Completing Computer Vision courses on Coursera enables learners to earn several types of credentials:
Skills gained from studying computer vision can lead to innovative and exciting career paths:
Computer vision is a branch of AI that trains computers to interpret and analyze visual data from the world, such as images or video. It powers technologies like facial recognition, object detection, and self-driving cars.‎