Interactive Internet of Things (Edge AI) course Sentio
A one-hour talk on intelligence at the IoT edge: when a sensor should decide on its own chip, how a model shrinks to fit one (TinyML), how federated learning trains across sites while their data stays put, and how raw sensor readings become alerts that pay.
- Scenes
- 12
- Level
- Undergraduate · 1-hour talk
- Guide
- Mote
- Kind
- Narrated scenes
What students work through
- Edge AI vs the cloud
- TinyML & quantization
- Federated learning
- Sensor data to business value
Every scene in Sentio follows the same pattern: a plain sentence saying what the idea is, a working model the student controls, a real example, then a “your turn” step.
The free preview opens the first 3 scenes in your browser. The full course comes with your college’s TwiddleLabs subscription: teachers use it in the browser, and students get it in the TwiddleLabs app on their phone and laptop, working offline.
From the blog
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