Engineering with Agentic AI Part 1 - Data Analysis and App Building with Agentic AI
Overview
Today’s engineering landscape requires teams to move fast without sacrificing quality. Agentic AI amplifies your team’s ability to innovate. As AI reshapes how systems are prototyped, designed, and deployed, one thing is clear: teams that win will be those that pair domain-trusted tools with AI-powered engineering workflows. MATLAB and Simulink give you the tools to do both.
This webinar series covers workflows to help your team build smarter, scale faster, and bring breakthrough products to market with confidence using Agentic AI techniques.
Highlights
Part 1: Data Analysis and App Building with Agentic AI
- Learn how to integrate MATLAB with your AI tool of choice, like Claude Code or GitHub Copilot.
- Using MCP Core Server for analyzing data and building reports and dashboards
About the Presenter
Yann Debray is a technical marketing manager at MathWorks focusing on AI. He creates hands-on content—blog posts, tutorials, and demos—that translate features into guidance for engineers, including integrating with languages like Python, AI frameworks like PyTorch and dev environments like VSCode. Previously, Yann worked in an open-source scientific computing startup called Scilab. He holds an Engineering Master’s from Arts et Métiers ParisTech and is the author of a book on MATLAB with Python.
This event is part of a series of related topics. View the full list of events in this series.
