AIoT Product Decisions
Lessons that develop this skill
Section titled “Lessons that develop this skill”| Lesson | Course | Develops to |
|---|---|---|
| From a real problem to a design: canvas, schema and designing for failure | AIoT in Action: From Touch Screen to IoT Platform (MicroPython) | L2 Guided |
| 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 | L2 Guided |
| Cost, BOM, time and team | Edge AI & IoT for Product Decisions | L1 Aware |
| Build, buy or partner | Edge AI & IoT for Product Decisions | L2 Guided |
| Writing a brief for developers: the one-page decision canvas | Edge AI & IoT for Product Decisions | L2 Guided |
| Digital Validation before Prototyping | Product Industrial Design (Blender & Twin) | L1 Aware |
| Lab: Scenarios and Pre-Prototype Checklist | Product Industrial Design (Blender & Twin) | 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 |
| Designing the capstone: Guardian, three pillars in one file | Edge AI Developer: From Sensor to On-Device Model | L2 Guided |
| Hands-on: build and ship an edge AI app | 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 |
|---|---|---|
| Writing a brief for developers: the one-page decision canvas | L2 Guided | resources/decision-canvas.md |
Roles that use this skill
Section titled “Roles that use this skill”| Role | Minimum level | In this role |
|---|---|---|
| Product Entrepreneur / Product Owner | L3 Independent | 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: 860aefc5-b54a-59eb-8d0a-effe7de51f21
{ "type": [ "Alignment" ], "targetName": "AIoT Product Decisions", "targetUrl": "https://tesaiot.github.io/tesa-qualification-program/skills/biz.product-decision/", "targetCode": "biz.product-decision", "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