In this 30-minute session, built on the back of the previous workshop, you will see how to leverage SOTA agentic AI to build a complete embedded application around a pre-trained vision model running on the Arduino UNO Q.
This session will answer a very important question: you have trained a model, now how do you build a working application around it? We will demonstrate how agentic workflows bypass the need to manually write boilerplate C/C++ integration code, reducing development time integrating a model onto a device.
You will watch a live “vibe coding” demonstration where an application is built in real-time from a natural language. The session will explore how to steer an AI agent on the fly, handle dependencies, and use Arduino App Lab to deploy the logic onto hardware.
What you’ll learn:
Watch an edge application being built in real-time – from prompt to execution on the UNO Q.
Understand the dual-brain architecture of the Arduino UNO Q and how to leverage Qualcomm Dragonwing™ and STM32 simultaneously.
Using Google Gemini in Antigravity to build an application agentically using natural language description and skills.
This webinar is presented by
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Free