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Coursera

MathWorks Computer Vision Engineer

MathWorks via Coursera Professional Certificate

Overview

Prepare for a career in the rapidly expanding field of computer vision. The ability to extract meaningful information from visual data is crucial for efficiently developing smart monitoring systems, enhancing medical diagnostics, and powering the next generation of autonomous vehicles. This program is designed to transform those with little or no prior image data experience into proficient computer vision practitioners by completing several hands-on projects with real-world applications. By the end of the program, you will have the skills necessary to automate image processing tasks, detect and track motion, train deep learning models for image classification and object detection tasks, and implement advanced deep learning techniques like data augmentation and AI-assisted annotation. Possessing these skills will prepare you to keep pace with modern systems, which increasingly incorporate cameras into their designs. Throughout the program, you will use MATLAB, an industry-standard platform known for its user-friendly interface and robust functions that simplify complex algorithms. The intuitive apps and functions mean that you don't need to be a programmer or math expert to achieve success. You will leverage MATLAB capabilities to rapidly prototype and iterate on solutions, giving you a competitive edge in the job market and the confidence to push the boundaries of what's possible in computer vision and deep learning.

Syllabus

Course 1: Introduction to Image Processing
- Offered by MathWorks. In this introduction to image processing, you'll take your first steps in accessing and adjusting digital images for ... Enroll for free.

Course 2: Image Segmentation, Filtering, and Region Analysis
- Offered by MathWorks. In this course, you will build on the skills learned in Introduction to Image Processing to work through common ... Enroll for free.

Course 3: Automating Image Processing
- Offered by MathWorks. In this course, you will build on the skills acquired in Image Segmentation, Filtering, and Region Analysis to explore ... Enroll for free.

Course 4: Introduction to Computer Vision
- Offered by MathWorks. In the first course of the Computer Vision for Engineering and Science specialization, you’ll be introduced to ... Enroll for free.

Course 5: Machine Learning for Computer Vision
- Offered by MathWorks. In the second course of the Computer Vision for Engineering and Science specialization, you will perform two of the ... Enroll for free.

Course 6: Object Tracking and Motion Detection with Computer Vision
- Offered by MathWorks. In the third and final course of the Computer Vision for Engineering and Science specialization, you will learn to ... Enroll for free.

Course 7: Introduction to Deep Learning for Computer Vision
- Offered by MathWorks. Starting with zero deep learning knowledge, this foundational course will guide you to effectively train cutting-edge ... Enroll for free.

Course 8: Deep Learning for Object Detection
- Offered by MathWorks. Detecting and locating objects is one of the most common uses of deep learning for computer vision. Applications ... Enroll for free.

Course 9: Advanced Deep Learning Techniques for Computer Vision
- Offered by MathWorks. Visual inspection and medical imaging are two applications that aim to find anything unusual in images. In this ... Enroll for free.

Courses

Taught by

Amanda Wang, Brandon Armstrong, Isaac Bruss, Matt Rich, Megan Thompson, Mehdi Alemi and Sam Jones

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