MathWorks
MathWorks Computer Vision Engineer Professional Certificate
MathWorks

MathWorks Computer Vision Engineer Professional Certificate

Advance your career with computer vision skills. Learn and apply the computer vision skills needed to effectively address real-world challenges experienced across many industries.

Sam Jones
Amanda Wang
Mehdi Alemi

Instructors: Sam Jones

Included with Coursera Plus

Earn a career credential that demonstrates your expertise
5.0

(5 reviews)

Beginner level
No prior experience required
2 months
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Automatically extract information from images

  • Detect and track objects in images and videos

  • Apply the full deep-learning workflow to computer vision challenges

  • Export models to common formats like Tensorflow or PyTorch

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English
Recently updated!

June 2024

See how employees at top companies are mastering in-demand skills

Placeholder

Advance your career with in-demand skills

  • Receive professional-level training from MathWorks
  • Demonstrate your technical proficiency
  • Earn an employer-recognized certificate from MathWorks
Placeholder

Get exclusive access to career resources upon completion

  • Resume review

    Improve your resume and LinkedIn with personalized feedback

  • Interview prep

    Practice your skills with interactive tools and mock interviews

  • Career support

    Plan your career move with Coursera's job search guide

¹Based on Coursera learner outcome survey responses, United States, 2021.

Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

Professional Certificate - 9 course series

Introduction to Image Processing

Course 110 hours4.8 (114 ratings)

What you'll learn

  • Perform analysis on a variety of common image datatypes & recognize their strengths and limitations

  • Detect objects and regions of interest using intensity-based & color-based image segmentation

  • Improve image contrast using a variety of modern algorithms for different use-cases, such as low light or fog

  • Complete a project where you analyze Antarctic ice melt in satellite images

Skills you'll gain

Category: Image Processing
Category: Image Segmentation
Category: Matlab

Image Segmentation, Filtering, and Region Analysis

Course 210 hours4.8 (31 ratings)

What you'll learn

  • Use segmentation to detect and analyze regions of interest in images & video

  • Apply spatial filters and morphological operators to improve segmentation & remove noise

  • Segment & analyze 3D images, such as MRI images of a brain

  • Use interactive tools to quickly test a variety of segmentation approaches & automatically generate code for reuse

Skills you'll gain

Category: Computer Vision
Category: Object Detection
Category: Machine Learning
Category: Predictive Modelling
Category: image classification

Automating Image Processing

Course 313 hours4.9 (10 ratings)

What you'll learn

  • Apply image processing algorithms to large sets of images & verify your algorithms generalize to new images

  • Apply image processing algorithms to video files

  • Analyze your image & video processing results, including calculating statistics like average area & identifying outliers

  • Complete a specialization-level project where you will detect cars in a noisy video

Skills you'll gain

Category: Image Processing
Category: Computer Vision
Category: Image Stitching
Category: Image Registration
Category: Matlab

Introduction to Computer Vision

Course 48 hours4.5 (39 ratings)

What you'll learn

  • Use common algorithms for feature detection, extraction, & matching

  • Perform image registration by identifying control points & estimating geometric transformations

  • Complete a final project where you stitch together images from NASA’s Mars Curiosity Rover

  • Combine images with image stitching to create panorama images

Skills you'll gain

Category: Image Processing
Category: Object Detection
Category: Matlab
Category: video processing

Machine Learning for Computer Vision

Course 511 hours4.9 (14 ratings)

What you'll learn

  • Prepare data and create features for classifying images

  • Train & evaluate models to classify images using

  • Train & evaluate object detection machine learning models

  • Customize model training for different applications using cost matrices

Skills you'll gain

Category: Artificial Intelligence (AI)
Category: Computer Vision
Category: Deep Learning
Category: Matlab
Category: image classification

Object Tracking and Motion Detection with Computer Vision

Course 613 hours5.0 (21 ratings)

What you'll learn

  • Use pre-trained deep neural networks like YOLO to perform object detection

  • Use optical flow to detect motion & moving objects

  • Perform multi-object tracking to count, track, & determine the direction of objects

Skills you'll gain

Category: Computer Vision
Category: Object Detection
Category: Motion Detection
Category: Optical Flow
Category: Tracking

What you'll learn

  • Develop a strong foundation in deep learning for image analysis

  • Retrain common models like GoogLeNet and ResNet for specific applications

  • Investigate model behavior to identify errors, determine potential fixes, and improve model performance

  • Complete a real-world project to practice the entire deep learning workflow

Skills you'll gain

Category: Image Processing
Category: Image Segmentation
Category: region analysis
Category: image filtering

What you'll learn

  • Retrain popular YOLO deep learning models for your applications

  • Visualize results to gain insights into model performance

  • Evaluate detection models by examining both class and location accuracy.

  • Analyze labeled images to identify and fix potential data shortcomings

Skills you'll gain

Category: Computer Vision
Category: Object Detection
Category: Deep Learning
Category: Matlab

What you'll learn

  • Train and calibrate specialized models known as anomaly detectors

  • Generate synthetic training images for situations where acquiring more data is expensive or impossible

  • Use AI-assisted auto-labeling to save time and money

  • Import models from 3rd party tools like PyTorch and export your model outside of MATLAB

Skills you'll gain

Category: Anomaly Detection
Category: Artificial Intelligence (AI)
Category: Computer Vision
Category: Deep Learning
Category: Matlab

Instructors

Sam Jones
MathWorks
4 Courses27,904 learners
Amanda Wang
MathWorks
9 Courses20,667 learners
Mehdi Alemi
MathWorks
3 Courses1,471 learners

Offered by

MathWorks

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions