This hands-on workshop is your opportunity to gain practical skills in designing, integrating, and deploying AI models using Model-Based Design. Whether you’re just starting out or are an experienced user, you’ll walk away with a solid understanding of essential tools and workflows for AI development.

What You’ll Learn

The workshop helps engineers overcome the complexity of integrating AI into Model-Based Design, addressing gaps in AI model validation, system simulation, and deployment in real-world scenarios. Through guided exercises and real-world examples, you’ll learn how to:

• Validate AI models in simulation
• Integrate third-party deep learning frameworks
• Generate deployable code for embedded systems

Agenda

• Design and Train a Neural Network
  Build a feedforward neural network in MATLAB and integrate it directly into a Simulink simulation.
• Integrate TensorFlow Models
  Import a TensorFlow™ model and integrate it seamlessly with Simulink environments.
• Model Compression and Code Generation
  Compress an LSTM model using projection, generate C/C++ code from Simulink with Embedded Coder, and profile its performance.

Each chapter includes hands-on exercises to reinforce key concepts and provide experience with AI workflows inside the MATLAB and Simulink ecosystem.

Who Should Attend

Engineers, researchers, and developers interested in applying AI techniques within system-level design and simulation. No prior deep learning expertise required. Whether you’re just starting out or are an experienced user, this workshop will introduce you to essential tools and methodologies for AI development within Model-Based Design.

Featured products

All products mentioned in this webinar are developed by MathWorks.

• MATLAB
• Simulink
• Deep Learning Toolbox™
• Embedded Coder®

3rd Party Products: TensorFlow™

How to Access:

To watch the webinar, simply fill out the form on this page. Once registered, you’ll gain immediate access and can watch it directly on the page. Additionally, you’ll receive an email with a link to access the on-demand session at your convenience.