Edge AI

Skill id

ai.edge

Area

Systems & Applications

Group

Edge AI

Roadmap importance

P · Possibilities

Origin

Node on the roadmap diagram v1.2.3

Roadmap node

Edge AI

Status in the lesson library

Assessed by a lesson

See it on the skill roadmap

Lessons that develop this skill

Lesson	Course	Develops to
What edge AI and IoT can and cannot do	Edge AI & IoT for Product Decisions	L1 Aware
Edge, cloud or hybrid	Edge AI & IoT for Product Decisions	L1 Aware
Multi-domain MCU Architecture and Firmware SDK Layers	TESA Firmware SDK for Edge AI	L1 Aware
What edge AI is: the five-stage data lifecycle and where a model can run	Edge AI Developer: From Sensor to On-Device Model	L1 Aware
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 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
Derived metrics and rule-based classification: dew point, heat index and the rule ladder	Edge AI Developer: From Sensor to On-Device Model	L1 Aware
Hands-on: a rule-based comfort classifier	Edge AI Developer: From Sensor to On-Device Model	L1 Aware
Running the model on the web: LiteRT.js, int8 I/O and parity	Edge AI Developer: From Sensor to On-Device Model	L2 Guided
Hands-on: a web verdict that matches the PC, and the Cortex-A story	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	L3 Independent
Hands-on: your own focused app	Edge AI Developer: From Sensor to On-Device Model	L3 Independent
The action pipeline: CONF_FLOOR, debounce, cooldown and on_result	Edge AI Developer: From Sensor to On-Device Model	L3 Independent
Hands-on: an action pipeline that resists false positives	Edge AI Developer: From Sensor to On-Device Model	L3 Independent
Sensor fusion: the model’s verdict with the raw sensor	Edge AI Developer: From Sensor to On-Device Model	L3 Independent
Hands-on: send the fused event over MQTT	Edge AI Developer: From Sensor to On-Device Model	L3 Independent
Designing the capstone: Guardian, three pillars in one file	Edge AI Developer: From Sensor to On-Device Model	L3 Independent
Hands-on: build and ship an edge AI app	Edge AI Developer: From Sensor to On-Device Model	L3 Independent

Lessons that assess this skill

Lesson	Level	Evidence
Hands-on: your first model menu	L2 Guided	practice/s01_first_inference.py
Hands-on: from verdict to action on the board	L2 Guided	practice/s03_anatomy_edgeai.py
Hands-on: your own focused app	L2 Guided	practice/s15_apps.py
Hands-on: an action pipeline that resists false positives	L3 Independent	practice/s16_action_pipeline.py
Hands-on: build and ship an edge AI app	L3 Independent	practice/s20_capstone.py

Roles that use this skill

Role	Minimum level	In this role
Edge AI Engineer	L3 Independent	Required (R) · raised from P on the map
Product Entrepreneur / Product Owner	L2 Guided	Required (R) · raised from P on the map

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: 74f7982f-4654-5846-b42b-672096a96b37

{
  "type": [
    "Alignment"
  ],
  "targetName": "Edge AI",
  "targetUrl": "https://tesaiot.github.io/tesa-qualification-program/skills/ai.edge/",
  "targetCode": "ai.edge",
  "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