Self-Paced Training

Learn anytime, anywhere with MathWorks self-paced, online training. You will be provided with access to professionally developed training materials that include hands-on MATLAB® practice sessions, demonstrations, and quizzes. Self-paced, online training content is provided in short modules, so you can jump to the topics that interest you the most.

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Available Training

MATLAB Onramp (Free)

This free, self-paced, online training provides an interactive introduction to MATLAB in two hours. Topics include performing calculations, vectors and matrices, plotting data, scripts, logical arrays, and loops. 


Deep Learning Onramp (Free)

This free, self-paced, online training provides an interactive introduction to practical deep learning in two hours. You will learn how to use MATLAB to apply deep learning methods to perform image recognition. Topics include convolutional neural networks, using and evaluating pretrained networks, and transfer learning.


MATLAB Fundamentals

A comprehensive introduction to the MATLAB technical computing environment that covers themes of data analysis, visualization, modeling, and programming. You will learn to import, analyze, and visualize data in MATLAB by solving hands-on practice exercises and watching videos. Exercises provide instant and contextual feedback.


MATLAB Programming Techniques

Learn to write efficient, robust, and well-organized code. Details of performance optimization, as well as tools for writing, debugging, and profiling code are covered.


MATLAB for Data Processing and Visualization

This self-paced, online training is intended for data analysts and data scientists who need to automate the processing, analysis, and visualization of data from multiple sources. It focuses on importing and preparing data for data analytics applications. Topics of creating and customizing visualizations including three-dimensional plots and images are also covered.


MATLAB for Financial Applications

A comprehensive introduction to the MATLAB technical computing environment, with an emphasis on practical application to finance, that explores themes of data analysis, visualization, modeling, and programming. You will learn to import, analyze, and visualize data in MATLAB by solving hands-on practice exercises and watching videos. Exercises provide instant and contextual feedback.


Machine Learning with MATLAB

This self-paced, online training demonstrates the use of unsupervised learning to discover features in large data sets and supervised learning to build predictive models. You will learn to use the classification, regression, and clustering methods.