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.

your guide in Sentio · Mote
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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