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5 Days of Matlab, Simulink & SimScape + ChatGPT - New! (Udemy.com)

Build Simulate Powerful Models in Matlab, Simulink, SimScape. Master Transfer Functions, PID, AI/ML & Live Scripts!

Created by: Prof. Ryan Ahmed, PhD, MBA

Last updated July 2024

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What you will learn

  • Model and simulate Mechanical Systems Using Physical Modeling techniques in SimScape
  • Model and Simulate Systems in the Time Domain Using Simulink
  • Analyze Systems Response and Change Model Parameters Using Matlab Live Scripts
  • Understand the Basic Concepts of Control Systems and Develop their Own Controllers in Simulink
  • Understand Control System Theory, Develop PID controllers, and Tune Controllers in Simulink
  • Convert Systems from Time Domain to S-Domain Using Laplace Transform
  • Understand the Concept of Transfer Functions
  • Understand the Impact of Stiffness and Damping Coefficients on Second-Order Systems
  • Understand the Theory and Intuition Behind Artificial Intelligence, Machine Learning, Deep Learning, and Artificial Neural Networks
  • Train Artificial Intelligence Classifier Models in Matlab to Detect and Classify Diabetes and Cancer diseases

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Course Description

Do you want to learn Matlab, Simulink, and Simscape in a practical, easy, fun, and engaging way?

Do you want to build powerful simulation models in Simulink & Simscape but don’t know where to start?

Are you an absolute beginner who want to break into modeling/simulation in Simulink and Simscape and looking for a course that has everything you need?

Do you want to leverage ChatGPT to automate your coding tasks?


If the answer is yes to any of these questions, then this course is for you!

Simulink is a powerful MATLAB-based tool used to design and simulate mechanical, electrical, electromechanical, and hydraulic systems using a large comprehensive drag and drop library.

This course is unique and exceptional in many ways. Every day, we will spend 1-2 hours together and learn how to build and simulate Matlab, Simulink and simscape models.

The course is designed in a unique project-based learning approach, and you will learn by doing!

The course includes several practice opportunities, quizzes, and final capstone projects.

Students who enroll in this course will be able to:

  1. Model and simulate Mechanical Systems Using Physical Modeling techniques in SimScape

  2. Model and Simulate Systems in the time domain using Simulink

  3. Analyze the system response and change model parameters using Matlab Live Scripts

  4. Understand the basic concepts of control systems and develop their own controllers in Simulink

  5. Understand control system theory, develop PID controllers, and tune controllers in Simulink

  6. Impress future (or current) employers with your marketable skills in MATLAB/Simulink

  7. Convert systems from the time domain to S-Domain Using Laplace Transform

  8. Understand the concept of transfer functions

  9. Understand the impact of the stiffness and damping coefficients on second order systems

  10. Understand the theory and intuition behind Artificial intelligence, deep learning, and neural networks

  11. Train Artificial Intelligence models in Matlab to detect and classify diabetes and cancer diseases

  12. Understand classifier model Key Performance indicators such as accuracy and ROC Curve

  13. Understand how to plot confusion matrices using Matlab

  14. Learn the difference between training, validation, and testing dataset


So who this course is for?

The course is targeted towards anyone wanting to gain a fundamental understanding of Matlab, Simulink and simscape and solve practical real world business problems.


In this course:

(1) you will have a true practical project-based learning experience, we will build over 5 projects together

(2) You will have access to all the codes, Simulink models and slides

(3) You will get a certificate of completion that you can post on your LinkedIn profile to showcase your skills in Simulink and SimScape to employers.

(4) All this comes with a 30-day money back guarantee so you can give a course a try risk free!

Check out the preview videos and the outline to get an idea of the projects we will be covering.

Enroll today and let’s harness the power of Matlab Simulink and SimScape together!



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Instructor Details

Prof. Ryan Ahmed, PhD, MBA

I'm Dr. Ryan Ahmed, professor, engineer, and founder of Stemplicity, where we help people get past the hype and actually build things with AI, Agentic AI, Cloud, and Data Science.

Over the past 10 years, I've taught 1 million learners across 160 countries — 700,000+ enrolled in my Udemy courses, 260,000+ subscribers on the "Prof. Ryan Ahmed" YouTube channel, and 120,000+ on Coursera. I also run corporate AI training for teams at HSBC, RBC, Discover, and Barclays across the US, Canada, and the UK. I held leadership roles at GM, Samsung, and Stellantis in Canada and the U.S., working on electric and autonomous vehicle technologies.

I hold a MASc, PhD, and MBA from McMaster University. I’m also a licensed Professional Engineer and a Stanford-certified program manager with over 60+ published research papers in AI and battery systems.

But credentials are the least interesting part. Here's what I actually believe: "AI is the biggest opportunity of our lifetime", and most people are sitting it out because they think they need to code or have a PhD. You don't. If you're willing to show up and try, I'll help you get good at this.

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Reviews

4.5

471 ratings on Udemy

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By Somay Jain on 6/18/2026

excellent course the content was well structured esay to follow and very useful for learning matlab simulink simscape and chstgpt i iearned many new concept and enjoyed the course

By David Eduardo Benalcázar Rojas on 1/28/2026

Me gusta que repite los conceptos porque al ser nuevos se me hace dificil memorizarlos y al repetirlos se me graba mejor el conocimiento nuevo que estoy adquiriendo

By Vaibhav Singh on 3/25/2025

It is a good course, quick and effective. Topics are covered at very high level but enough to develop a curiosity factor in learners. Enjoy and keep learning.

By Nancy Angel G on 12/1/2024

Sections 1-5 was really amazing and very useful. Section 6 gave basic understanding of the topic and section 7 was also useful. If control systems concepts were introduced along with sections 1-5 it would be more useful. But the course content was great!!!

By Mohit on 10/24/2024

Work Shop is good with plenty of knowledge. It will be more eye catching if reasons are also fed along with few things taught by trainer. Rest Valuable course.

By Karfar Siryon on 2/15/2024

Very knowledgeable….repeating tasks in various forms and scenarios optimized my ability to grasp the concept. This was very helpful for me. Overviewing ChatGPT and programming was mind blowing for me as an electrical engineer and is helping me think out of the box about GPT applications. This is a great class thought by an awesome and knowledgeable instructor, thanks !!

By varun vashisht on 2/24/2023

No q/a support but good explainations and precise modelling instructions, the scripts and models could use some trouble shooting as there are errors which might affect the running of code and newbies could have a hard time figuring out. All in all enjoyed my course and feel more confident now.

By Siddhant Sarraf on 2/9/2023

The course is really great for someone who wishes to start learning MATLAB from basics. OfCourse one has to dig deep on his/her level to be able to learn more, but I must appreciate how Dr Ryan has put effort to create this course.

By Moreshwar Salpekar on 10/4/2022

The course was better than the previous Matlab course in terms of explanation. Wish some of the topics covered there like electric modelling could be added here. The equation derivation for double mass dampner in Laplace domain requires simple math but formula is complicated overall and tough to remember. I used and was able use easily Simscape. I am looking forward to more simscape modelling from the same instructor.

By Dhrubojyoti Paul on 7/26/2022

Yes, This is very much helpful for understanding the basis of simscape model with script file. But in the script file there is command Plot(ans.x1) and I used plot(out.x1) why there is difference?

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Overall Score : 90 / 100