The Engineer’s Guide to Vision AI: How to Build and Deploy Custom Models (with Alif Semiconductor & Roboflow)

Most engineers don’t start vision AI from scratch. Pre-trained models and demos are a good start, but adapting them to real embedded use cases is a different challenge.

In this live session, Alif and Roboflow will show how to take models from the cloud to microcontrollers while keeping accuracy and performance intact. You’ll see how to prepare datasets, apply synthetic data, and deploy robust vision AI on low-power hardware.

What we’ll cover:

• Why cloud-trained models fail on embedded devices
• How Alif’s Ensemble and Balletto MCUs enable efficient AI inference
• Preparing and augmenting datasets with Roboflow
• Training and deploying a custom vision model from dataset to device
• Practical steps to go from demo to real deployment

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