New to MATLAB and Simulink? Want to sharpen your skills? Learn from the experts how to use MATLAB, Simulink, and add-on products for data analysis, modeling, and simulation. Courses in the Online Training Suite are built directly in the software for real-life practice.
With an annual Online Training Suite subscription, you can:
- Get one year of unlimited access to self-paced, interactive courses
- Learn just what you need when you need it
- Do exercises directly in MATLAB and Simulink
- Get assessed as you code
“I found the course really interesting, and even though I had no previous knowledge, it guides you very well. It is very entertaining, since it combines videos, explanations and examples.”Jon Eguskiza Ugarte, Metrology Engineer, Tekniker
83% would recommend MATLAB online learning to a colleague
Curate Your Path
The Online Training Suite offers learning options to fit your schedule—from brief topics to entire courses.
- Gain a baseline knowledge of how to use MATLAB and Simulink and get started quickly
- Grow your skills and complete your work in less time with automated tasks
- Available 24/7 to accommodate your schedule
- Access from anywhere through your web browser
MATLAB and Simulink licenses are not required to take courses.
“I wish I could have had MATLAB Fundamentals when I was learning to use MATLAB! The course is extremely well done and I would strongly recommend it.”Carolina Tropini, Stanford University
MATLAB and Simulink Core
Learn core MATLAB functionality for data analysis, modeling, and programming.
Learn how to use Simulink, a graphical simulation tool for modeling dynamic physical systems.
Create custom visualizations and automate your data analysis tasks.
Improve the robustness, flexibility, and efficiency of your MATLAB code.
Explore data and build predictive models.
Learn the theory and practice of building deep neural networks with real-life image and sequence data.
Learn practical image processing workflows in MATLAB
Learn how to perform signal processing in MATLAB
Get started quickly with an introduction to symbolic math.
Use root finding methods to solve nonlinear equations.
Use MATLAB ODE solvers to numerically solve ordinary differential equations.
Use matrix methods to solve systems of linear equations and perform eigenvalue decomposition.
Get started quickly with basic descriptive statistics and data fitting.