Building an edge AI model is only part of the job. Turning that model into a secure, maintainable production device is where many teams hit problems.
In this webinar, Foundries.io and Edge Impulse will show how to build the Linux infrastructure needed to move from a trained model to a deployment-ready product. You’ll see how to package AI applications into containers, manage operating system images, roll out secure over-the-air (OTA) updates, and create a more professional foundation for production IoT.
The session will also include a live demonstration of the FoundriesFactory architecture, showing how embedded teams can manage devices and software more effectively at scale.
This webinar is designed to bridge the gap between knowing how to train and optimise AI models, and having a clear, secure, and repeatable path to deploying them on embedded Linux devices in production.
Foundries.io and Edge Impulse will walk through a practical workflow for building production IoT systems, from model creation through to containerised deployment and device management. The goal is to show what a professional edge AI infrastructure actually looks like, and how teams can get there without becoming experts in every layer of embedded Linux.
What you’ll learn :
- Show how engineers can navigate the complexities of Linux infrastructure for edge AI.
- How to use containers and embedded Linux to create reliable, production-ready IoT devices.
- Understanding the infrastructure: CI/CD pipelines, containerisation, Bill of Materials (BOM), secure OTA.
- How customised and secure AI models can be trained and moved into a deployment-ready Linux container.
- A live demonstration of the FoundriesFactory architecture.
Free