Advance your career with computer vision skills. Learn and apply the skills needed to effectively address real-world challenges used by a variety of industries.
Suggested by: Coursera (What is Coursera?)
No prior knowledge required
No unnecessary risks
Prepare for a career in the rapidly evolving field of computer vision. The ability to extract meaningful information from image data is critical for developing intelligent monitoring systems, improving medical diagnostics, and powering the next generation of autonomous vehicles. This program is designed to transform individuals with little or no prior experience in image processing into computer vision experts by completing a number of hands-on projects with real-world applications.
Meanwhile, by the end of the program, you will have the ability to perform automated image processing tasks, detect and track motion, train deep learning models in image classification and object recognition tasks, and apply advanced deep learning techniques such as data augmentation and AI-assisted annotation. These skills will prepare you to adapt to modern systems, which are increasingly incorporating cameras into their designs.
Throughout the program, you will use MATLAB software, an industry-standard platform known for its user-friendly interface and powerful functions that simplify complex algorithms. The intuitive applications and functions allow you to succeed without having to be a programmer or math expert. You will use MATLAB capabilities to quickly prototype and refine solutions, giving you a competitive edge in the job market and the confidence to advance what is possible in the field of computer vision and deep learning.
Hands-on Learning Project
This vocational certificate includes several practical projects to ensure you are industry-ready.
Measuring ice melt in Antarctica by analyzing satellite images
Identifying and tracking vehicles on a busy road
Examining the surface of Mars by piecing together images from a Mars rover
Identifying and classifying letters of the American Sign Language alphabet for accessible communication
Detection and location of parking signs for automated parking assistance
Identifying anomalies in medical images for further investigation
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