MicroPython

Skill id

lang.micropython

Area

Software

Group

Programming Languages

Roadmap importance

No roadmap colour (added by TESA)

Origin

Added by TESA

Status in the lesson library

Assessed by a lesson

See it on the skill roadmap

Lessons that develop this skill

Lesson	Course	Develops to
First program: draw on the screen and light an LED	Explorer: Meet Embedded Systems	L1 Aware
Read a sensor and watch the value change	Explorer: Meet Embedded Systems	L1 Aware
First lines on screen: the lcd and ui modules	AIoT in Action: From Touch Screen to IoT Platform (MicroPython)	L2 Guided
Inside the box: two cores, AIoT and your team’s screen	AIoT in Action: From Touch Screen to IoT Platform (MicroPython)	L2 Guided
ui.Chart: multi-series plots and the real loop period	AIoT in Action: From Touch Screen to IoT Platform (MicroPython)	L2 Guided
Hands-on: a three-axis acceleration chart	AIoT in Action: From Touch Screen to IoT Platform (MicroPython)	L2 Guided
Building the dashboard: four cards in one loop	AIoT in Action: From Touch Screen to IoT Platform (MicroPython)	L2 Guided
The network status screen: reading the wifi code	AIoT in Action: From Touch Screen to IoT Platform (MicroPython)	L2 Guided
The edge_ai module: list the models, select one, read its answer	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
Hands-on: your first model menu	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
Taking a sensor app apart: the four-beat skeleton of every program	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
Hands-on: remix it into your own Tilt Monitor	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
Taking an edge AI app apart: the registry, the verdict and the action	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
Hands-on: from verdict to action on the board	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
Hands-on: a DAQ logger that writes a CSV dataset	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
Hands-on: IMU and sound in one file	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
Hands-on: four physics gauges on screen	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
Hands-on: a rule-based comfort classifier	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
Hands-on: cleaning a live signal with a filter	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
Hands-on: a live spectrum from the IMU	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
Hands-on: a feature vector from a sliding window	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
Hands-on: capture a balanced dataset on the board, split it on the PC	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
Hands-on: comparing three targets, MCU, web and PC	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
Six models and the edge_ai API: an app focused on one model	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
Hands-on: your own focused app	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
Hands-on: an action pipeline that resists false positives	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
Hands-on: make a new model appear in edge_ai.models()	Edge AI Developer: From Sensor to On-Device Model	L2 Guided

Lessons that assess this skill

Lesson	Level	Evidence
Inside the box: two cores, AIoT and your team’s screen	L2 Guided	practice/s01_hello_lcd.py
Hands-on: a real value leaves the board, module 1 wrap-up	L2 Guided	practice/s02_ai_observer.py
Hands-on: your first model menu	L2 Guided	practice/s01_first_inference.py
Hands-on: remix it into your own Tilt Monitor	L2 Guided	practice/s02_anatomy_sensor.py

Roles that use this skill

Role	Minimum level	In this role
IoT Device Developer	L2 Guided	Required (R)

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

UUID: 0543525d-0f44-5ddf-8ebf-46eaf1dcb8a9

{
  "type": [
    "Alignment"
  ],
  "targetName": "MicroPython",
  "targetUrl": "https://tesaiot.github.io/tesa-qualification-program/skills/lang.micropython/",
  "targetCode": "lang.micropython",
  "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