Automating Image Processing (Coursera)

https://www.coursera.org/learn/automating-image-processing

In this course, you will build on the skills acquired in Image Segmentation, Filtering, and Region Analysis to explore large sets of images and video files. It’s impractical to manually inspect results in large data sets. Automating image processing allows you to do your work more efficiently. At the end of this course, you’ll apply all the skills learned in this specialization to a final project. You’ll take the role of an engineer being asked to monitor traffic on a busy road. You’ll detect c

Computer Vision for Engineering and Science (CourseraSpecs)

https://www.coursera.org/specializations/computer-vision

Offered by MathWorks. Quickly gain skills in Computer Vision. Learn essential computer vision skills like aligning images, detecting ...

Data Processing and Feature Engineering with MATLAB (Coursera)

https://www.coursera.org/learn/feature-engineering-matlab

In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB to lay the foundation required for predictive modeling. This intermediate-level course is useful to anyone who needs to combine data from multiple sources or times and has an interest in modeling. These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background. To be successful in this course, you should have some background in ba

Data Science Companion (Coursera)

https://www.coursera.org/learn/data-science-companion-matlab

The Data Science Companion provides an introduction to data science. You will gain a quick background in data science and core machine learning concepts, such as regression and classification. You’ll be introduced to the practical knowledge of data processing and visualization using low-code solutions, as well as an overview of the ways to integrate multiple tools effectively to solve data science problems. You will then leverage cloud resources from Amazon Web Services to scale data processing

Data Science Project: MATLAB for the Real World (Coursera)

https://www.coursera.org/learn/matlab-capstone

Like most subjects, practice makes perfect in Data Science. In the capstone project, you will apply the skills learned across courses in the Practical Data Science with MATLAB specialization to explore, process, analyze, and model data. You will choose your own pathway to answer key questions with the provided data. To complete the project, you must have mastery of the skills covered in other courses in the specialization. The project will test your ability to import and explore your data,

Deep Learning for Computer Vision (CourseraSpecs)

https://www.coursera.org/specializations/deep-learning-computer-vision

Offered by MathWorks. Advance Your Engineering Career with AI Skills. Learn practical deep learning techniques for computer vision

Exploratory Data Analysis with MATLAB (Coursera)

https://www.coursera.org/learn/exploratory-data-analysis-matlab

In this course, you will learn to think like a data scientist and ask questions of your data. You will use interactive features in MATLAB to extract subsets of data and to compute statistics on groups of related data. You will learn to use MATLAB to automatically generate code so you can learn syntax as you explore. You will also use interactive documents, called live scripts, to capture the steps of your analysis, communicate the results, and provide interactive controls allowing others to

Image Processing for Engineering and Science (CourseraSpecs)

https://www.coursera.org/specializations/image-processing

Offered by MathWorks. Quickly gain skills in Image Processing. Learn the essential skills to automatically extract information from images.

Image Segmentation, Filtering, and Region Analysis (Coursera)

https://www.coursera.org/learn/image-segmentation

In this course, you will build on the skills learned in Introduction to Image Processing to work through common complications such as noise. You’ll use spatial filters to deal with different types of artifacts. You’ll learn new approaches to segmentation such as edge detection and clustering. You’ll also analyze regions of interest and calculate properties such as size, orientation, and location. By the end of this course, you’ll be able to separate and analyze regions in your own images. You’

Introduction to Image Processing (Coursera)

https://www.coursera.org/learn/introduction-image-processing

In this introduction to image processing, you'll take your first steps in accessing and adjusting digital images for analysis and processing. You will load, save, and adjust image size and orientation while also understanding how digital images are recognized. You will then perform basic segmentation and quantitative analysis. Lastly, you will enhance the contrast of images to make objects of interest easier to identify. By the end of the course, you’ll apply your segmentation skills to identi

Machine Learning for Computer Vision (Coursera)

https://www.coursera.org/learn/ml-computer-vision

In the second course of the Computer Vision for Engineering and Science specialization, you will perform two of the most common computer vision tasks: classifying images and detecting objects. You will apply the entire machine learning workflow, from preparing your data to evaluating your results. By the end of this course, you’ll train machine learning models to classify images of street signs and detect material defects. You will use MATLAB throughout this course.  MATLAB is the go-to choice

MathWorks Computer Vision Engineer (CourseraSpecs)

https://www.coursera.org/professional-certificates/mathworks-computer-vision-engineer

Offered by MathWorks. Advance your career with computer vision skills. Learn and apply the computer vision skills needed to effectively ...

Medical Image Processing (Coursera)

https://www.coursera.org/learn/medical-image-processing

Medical image processing is pivotal in diagnosing diseases, planning treatment, and monitoring patients. Recent advances are revolutionizing how healthcare professionals understand and interact with complex medical conditions. This course is designed to equip engineers, scientists, and healthcare professionals with the in-demand skills to work with raw medical image data, enabling advancements in patient care and contributing to groundbreaking research in medical diagnostics and treatment strate

Modeling and Simulation with Simulink (Coursera)

https://www.coursera.org/learn/modeling-with-simulink

As technology advances at an unprecedented pace, engineers are challenged to design complex systems with greater efficiency and accuracy. This course teaches you skills in system modeling, simulation, and analysis using Simulink®, a modeling and simulation environment used by the words top engineering companies to design, simulate, and test systems before moving to hardware. The course provides practical, project-based learning that mirrors real-world challenges. You will gain hands-on experie

Object Tracking and Motion Detection with Computer Vision (Coursera)

https://www.coursera.org/learn/object-tracking-and-motion-computer-vision

In the third and final course of the Computer Vision for Engineering and Science specialization, you will learn to track objects and detect motion in videos. Tracking objects and detecting motion are difficult tasks but are required for applications as varied as microbiology and autonomous systems. To track objects, you first need to detect them. You’ll use pre-trained deep neural networks to perform object detection. You’ll also use optical flow to detect motion and use the results to detect mo

Practical Data Science with MATLAB (CourseraSpecs)

https://www.coursera.org/specializations/practical-data-science-matlab

Offered by MathWorks.

Predictive Modeling and Machine Learning with MATLAB (Coursera)

https://www.coursera.org/learn/predictive-modeling-machine-learning

In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB and Data Processing and Feature Engineering with MATLAB to increase your ability to harness the power of MATLAB to analyze data relevant to the work you do. These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background. To be successful in this course, you should have some background in basic statistics (histograms, averages, stand

Systems Engineering (Coursera)

https://www.coursera.org/learn/systems-engineering-mathworks

Systems Engineering provides a broad overview of how systems engineering helps you develop complex projects that meet program objectives in an efficient way. You will learn how system architectures are developed and described, how to communicate the needs, requirements, and constraints throughout the project, how to optimize the design through trade studies, and how to know the system does what it’s supposed to in the end. By the end of this short course, you will have a high-level understanding