Multi-core IPC
Lessons that develop this skill
Section titled “Lessons that develop this skill”| Lesson | Course | Develops to |
|---|---|---|
| Inside the box: two cores, AIoT and your team’s screen | AIoT in Action: From Touch Screen to IoT Platform (MicroPython) | L1 Aware |
| The touch screen and your first widgets | AIoT in Action: From Touch Screen to IoT Platform (MicroPython) | L1 Aware |
| Sampling right: Nyquist, aliasing and the ring buffer | AIoT in Action: From Touch Screen to IoT Platform (MicroPython) | L1 Aware |
| BLE for Edge Products | TESA Firmware SDK for Edge AI | L1 Aware |
| The edge_ai module: list the models, select one, read its answer | Edge AI Developer: From Sensor to On-Device Model | L1 Aware |
| The edge AI stack: tri-core, ai_engine, the IPC model link and TFLite-Micro | Edge AI Developer: From Sensor to On-Device Model | L2 Guided |
| Hands-on: tracing the stack from MicroPython | Edge AI Developer: From Sensor to On-Device Model | L2 Guided |
Lessons that assess this skill
Section titled “Lessons that assess this skill”| Lesson | Level | Evidence |
|---|---|---|
| Hands-on: tracing the stack from MicroPython | L2 Guided | practice/s18_under_the_hood.py |
Roles that use this skill
Section titled “Roles that use this skill”| Role | Minimum level | In this role |
|---|---|---|
| Edge AI Engineer | L2 Guided | Required (R) |
Proficiency levels
Section titled “Proficiency levels”- L1 Aware · Bloom: remember/understand
- L2 Guided · Bloom: apply (scaffolded)
- L3 Independent · Bloom: apply/analyse
- L4 Professional · Bloom: analyse/evaluate
- L5 Design & Lead · Bloom: evaluate/create
For Open Badges 3.0 and CASE alignment
Section titled “For Open Badges 3.0 and CASE alignment”UUID: b5234213-4886-5cb7-979f-7e63673538eb
{ "type": [ "Alignment" ], "targetName": "Multi-core IPC", "targetUrl": "https://tesaiot.github.io/tesa-qualification-program/skills/rtos.multicore-ipc/", "targetCode": "rtos.multicore-ipc", "targetFramework": "TESA Embedded Systems Skill Map 0.1.0", "targetType": "CFItem"}Skill map data is licensed CC BY-SA 4.0, adapted from the Embedded Systems Engineering Roadmap by Meysam Parvizi
TESA Open Knowledge · © 2026 สมาคมสมองกลฝังตัวไทย (TESA) · CC BY-NC 4.0
Content is licensed CC BY-NC 4.0. Reuse it non-commercially and credit the Thai Embedded Systems Association (TESA) every time. · How to cite TESA