Whether you’re starting fresh or building on what you already know, these computer vision projects are designed to help you put knowledge into practice. Each project offers a structured way to explore real scenarios, make progress, and strengthen your skills—one step at a time.
The language used throughout the course, in both instruction and assessments.

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

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

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, 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: 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: PyTorch (Machine Learning Library), Deep Learning, Image Analysis, Computer Vision, Artificial Neural Networks, Feature Engineering, Data Validation
Beginner · 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

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: PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision
Advanced · 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: 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.‎