Under the hood and extending the firmware

Under the hood and extending the firmware · Course page

Take apart the stack from MicroPython across the IPC, to ai_engine and the NPU, then use that map to add your own model so it shows up in edge_ai.models().

Module goal

Stop being just an API user, and start being someone who can read, fix, and extend the stack.

Lessons

Lesson	Topic	Time (min)	Slides
7.1	The Edge AI stack: tri-core, ai_engine, the IPC model link, and TFLite-Micro	70	slides.md
7.2	Hands-on: tracing the stack from MicroPython	75	slides.md
7.3	Adding your own model: three edits, the four-function contract, and Vela	70	slides.md
7.4	Hands-on: making a new model show up in edge_ai.models()	75	slides.md

Lessons come in pairs: a concept lesson followed by a hands-on lesson with a practice file, a solution, and a lab.

Module checkpoint

You pass this module once you can do all of the following (details are in the Lab section of each hands-on lesson):

• Explain the stack, and point to the source function or field for at least one point in each of the three layers (transport, control, result) (lesson 7.2).
• A newly added model raises edge_ai.count(), its name shows up in edge_ai.models(), and selecting and running it gets a real verdict on the board (lesson 7.4).