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
Isaac Bruss

Instructors: Sam Jones

Included with Coursera Plus

Earn a career credential that demonstrates your expertise

(71 reviews)

Beginner level
No prior experience required
2 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Earn a career credential that demonstrates your expertise

(71 reviews)

Beginner level
No prior experience required
2 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers

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

Overview

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
68 practice exercises

Professional Certificate - 9 course series

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

Image Quality, Image Analysis, Matlab, Histogram, Metadata Management, Data Import/Export, Water Sustainability, Data Processing, Computer Vision, Data Manipulation, Spatial Data Analysis, Exploratory Data Analysis, Algorithms, Analysis, and Quantitative Research

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

Image Analysis, Matlab, Algorithms, Medical Imaging, Computer Vision, and Spatial Analysis

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

Image Analysis, Automation, Matlab, Computer Vision, Engineering Practices, Data Analysis Software, and Anomaly Detection

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

Computer Vision, Matlab, Algorithms, Image Analysis, Data Integration, Medical Imaging, Machine Learning Methods, Geospatial Information and Technology, and Estimation

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

Computer Vision, Machine Learning, Image Analysis, Supervised Learning, Visualization (Computer Graphics), Predictive Modeling, Performance Tuning, Applied Machine Learning, Data Validation, and Matlab

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

Computer Vision, Matlab, Medical Imaging, Visualization (Computer Graphics), Motion Graphics, Image Analysis, Deep Learning, and Artificial Intelligence and Machine Learning (AI/ML)

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

Deep Learning, Performance Tuning, Artificial Neural Networks, Computer Vision, Matlab, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Image Analysis, and Machine Learning Methods

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

Deep Learning, Computer Vision, Matlab, Image Analysis, Data Validation, Data Visualization, Machine Learning Methods, and Data Analysis

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

Deep Learning, Computer Vision, Anomaly Detection, Medical Imaging, Matlab, PyTorch (Machine Learning Library), Data Synthesis, Unsupervised Learning, Application Deployment, and Image Analysis

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Sam Jones
MathWorks
3 Courses42,346 learners
Amanda Wang
MathWorks
9 Courses38,907 learners
Isaac Bruss
MathWorks
9 Courses60,522 learners
Megan Thompson
MathWorks
10 Courses38,926 learners
Mehdi Alemi
MathWorks
4 Courses6,666 learners
Matt Rich
MathWorks
13 Courses64,718 learners
Brandon Armstrong
MathWorks
17 Courses97,276 learners

Offered by

MathWorks

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¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Content Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024) All other job roles (10/1/2024 - 10/1/2025)