Computer Vision Courses
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.
Popular Computer Vision Courses and Certifications
Status: Free TrialColumbia 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
Status: Free TrialMathWorks
Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Transfer Learning, Deep Learning, Machine Learning Methods, Image Quality, Data Preprocessing, Artificial Neural Networks, Matlab, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Traffic Flow Optimization, Data Visualization
Status: Free TrialMathWorks
Skills you'll gain: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Classification Algorithms, Data Visualization, Data Synthesis, Performance Tuning, Data Analysis
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Image Analysis, Computer Vision, Deep Learning, Convolutional Neural Networks, Computer Graphics, Machine Learning Methods, Artificial Intelligence, Data Ethics, Microsoft Excel, Generative AI, Linear Algebra, Feature Engineering, Digital Signal Processing
Status: Free TrialSkills you'll gain: Data Import/Export, Programming Principles, Web Scraping, File I/O, Python Programming, Jupyter, Data Structures, Pandas (Python Package), Data Manipulation, JSON, Computer Programming, Restful API, NumPy, Object Oriented Programming (OOP), Application Programming Interface (API), Automation, Data Analysis
Status: NewStatus: Free TrialSkills you'll gain: Computer Vision, Image Analysis, Program Development, Data Science, Real Time Data, Python Programming, Development Environment, NumPy, Machine Learning Methods, System Design and Implementation, Motion Graphics, Model Deployment, Debugging, Software Installation
What brings you to Coursera today?
Status: Free TrialMicrosoft
Skills you'll gain: Image Analysis, Computer Vision, Artificial Intelligence, Microsoft Azure, Data Capture, Model Deployment, Text Mining, Application Programming Interface (API), Classification Algorithms, Document Management
Status: Free TrialSkills you'll gain: Image Analysis, Computer Vision, Deep Learning, Convolutional Neural Networks, Machine Learning Methods, Matlab, Transfer Learning, Traffic Flow Optimization
Status: Free TrialStatus: AI skillsSkills you'll gain: Cloud Deployment, Software Development Life Cycle, CI/CD, Cloud-Native Computing, Istio, Software Architecture, Node.JS, React Redux, Cloud Computing Architecture, Application Deployment, Restful API, Responsive Web Design, Django (Web Framework), Git (Version Control System), HTML and CSS, Server Side, Generative AI, Cloud Computing, Data Import/Export, Engineering Software
Google Cloud
Skills you'll gain: Model Evaluation, Tensorflow, Convolutional Neural Networks, Computer Vision, Keras (Neural Network Library), Development Environment, Image Analysis, Machine Learning, Deep Learning, Data Persistence, Artificial Neural Networks
Status: Free TrialStatus: AI skillsGoogle
Skills you'll gain: Threat Modeling, Network Security, Threat Management, Vulnerability Management, Intrusion Detection and Prevention, Hardening, Computer Security Incident Management, Security Management, Cyber Threat Intelligence, Cyber Attacks, Incident Response, Cybersecurity, Network Protocols, Threat Detection, Bash (Scripting Language), Debugging, Linux, Interviewing Skills, Python Programming, SQL
Status: Free TrialSkills you'll gain: Image Analysis, Image Quality, Matlab, Computer Vision, Traffic Flow Optimization, Automation, Digital Signal Processing, Anomaly Detection, Spatial Data Analysis, Geospatial Information and Technology, Medical Imaging, Spatial Analysis, Data Preprocessing, Quantitative Research, Algorithms, Data Store
What brings you to Coursera today?
In summary, here are 10 of our most popular computer vision courses
- First Principles of Computer Vision: Columbia University
- MathWorks Computer Vision Engineer: MathWorks
- Deep Learning for Computer Vision: MathWorks
- Introduction to Computer Vision: University of Colorado Boulder
- Python for Data Science, AI & Development: IBM
- Apply OpenCV for Real-Time Computer Vision Projects: EDUCBA
- Computer Vision in Microsoft Azure: Microsoft
- Object Tracking and Motion Detection with Computer Vision: MathWorks
- IBM Full Stack Software Developer: IBM
- Introduction to Computer Vision with TensorFlow: Google Cloud
