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AI, Machine Learning & Data ScienceCoursera2024-9 Edition100% Free Video Course

MathWorks Computer Vision Engineer Professional Certificate

MathWorks Computer Vision Engineer Professional Certificate is a training course to increase your skills in computer vision and image processing using MATLAB and Simulink, published by Coursera Online Academy. This is an intensive program designed for professionals looking to enhance their skills in computer vision and image processing using MATLAB and Simulink. This course covers essential topics such as image acquisition, feature extraction, object detection and image segmentation. Individuals learn to develop and deploy computer vision algorithms for real-world applications, including autonomous systems, robotics, and augmented reality.This program covers image acquisition, feature extraction, object detection and image segmentation and focuses on the development and deployment of computer vision algorithms for applications in robotics and autonomous systems. The program emphasizes hands-on experience through hands-on projects and case studies, allowing learners to apply theoretical concepts to real-world scenarios. This course leads to a thorough understanding of computer vision techniques and the ability to implement solutions using MATLAB and Simulink. At the end of the certificate program, developers will have a comprehensive understanding of computer vision techniques and the ability to implement solutions using MathWorks tools.

105 Video Lessons
13.9 Hours On-Demand
Created by Senior Industry Specialist
Uploaded Sep 2026
English
MathWorks Computer Vision Engineer Professional Certificate
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Free$129.99100% Free

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Course Features:
13.9 hours on-demand video
105 complete lectures
Streamable on mobile, tablet & desktop
Self-paced curriculum with progress tracking
Direct MP4 downloads & offline video access
Verified course archives hosted on cloud infrastructure.

What You'll Master in this Course

Automatic information extraction from images
Identifying and tracking objects in images and videos
Apply a complete deep learning workflow to computer vision challenges
Export models to popular formats such as Tensorflow or PyTorch
and…

Course Curriculum105 Lectures

69 sections • 13.9 hours total length

Prefer offline learning? Download all 105 video lectures and project files for free.
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Requirements

  • Basic enthusiasm to learn and follow along with lessons
  • A computer or mobile device with a modern internet connection

Description

MathWorks Computer Vision Engineer Professional Certificate is a training course to increase your skills in computer vision and image processing using MATLAB and Simulink, published by Coursera Online Academy. This is an intensive program designed for professionals looking to enhance their skills in computer vision and image processing using MATLAB and Simulink. This course covers essential topics such as image acquisition, feature extraction, object detection and image segmentation. Individuals learn to develop and deploy computer vision algorithms for real-world applications, including autonomous systems, robotics, and augmented reality.This program covers image acquisition, feature extraction, object detection and image segmentation and focuses on the development and deployment of computer vision algorithms for applications in robotics and autonomous systems. The program emphasizes hands-on experience through hands-on projects and case studies, allowing learners to apply theoretical concepts to real-world scenarios. This course leads to a thorough understanding of computer vision techniques and the ability to implement solutions using MATLAB and Simulink. At the end of the certificate program, developers will have a comprehensive understanding of computer vision techniques and the ability to implement solutions using MathWorks tools.

Instructor

S

Senior Industry Specialist

Specialist in AI, Machine Learning & Data Science

Passionate educator focused on real-world practical skills, modern frameworks, and production-ready engineering practices. Delivering step-by-step masterclasses accessible to learners globally on MJ Accedemy.

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