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DEEPCO AI EDUCATION ROADMAP

Understand AI.
Build the power to change.

A progressive curriculum from AI principles and data to Generative AI, Physical AI and human-centered problem solving.

01 · CORE COMPETENCIES

Six competency axes
for the AI era

DEEPCO compares major AI education frameworks and organizes their shared capabilities into six practical axes. Programs move beyond knowledge transfer to working with data, building systems and solving human problems responsibly.

A curriculum design language informed by comparisons of UNESCO, OECD/EU, CSTA and AI4K12 frameworks.
C1

AI Understanding & Critical Judgment

Understand principles and limitations, then judge the reliability of results.

C2

Data & Model Learning

Collect and prepare data, train models and interpret performance.

C3

AI Creation & Collaboration

Work with AI tools to create new ideas and outcomes.

C4

System Design & Computing

Connect code, models and devices as one working system.

C5

Cognition & Physical Action

Turn AI perception and decisions into sensor, motor and robot behavior.

C6

Human-Centered Ethics & Problem Solving

Solve real problems while considering people and society.

02 · FOUR LEVELS

Four levels from understanding
to solving and shaping

Progress is based on demonstrated capability rather than age alone.

L1 · UNDERSTAND

Understand

Explain the concept

Describe core AI concepts and mechanisms in your own words.

L2 · EXPERIMENT

Experiment

Change the conditions

Vary data and settings to investigate why results change.

L3 · CREATE

Create

Build models and systems

Prepare data and implement AI models and devices.

L4 · SOLVE & SHAPE

Solve & Shape

Select, evaluate and improve

Choose appropriate AI and improve its impact and performance.

03 · EIGHT DOMAINS

Eight domains for a broad
AI learning experience

Each domain can progress through four levels or connect into one project.

D1

AI Principles

Classification, regression, prediction and why AI makes mistakes.

D2

Data AI

Analyze sensor and tabular data and build predictive models.

D3

Generative AI

Generation, prompting, RAG and output verification.

D4

Vision AI

Train image datasets and apply models to camera recognition.

D5

Physical AI

Move motors and devices from AI predictions and build autonomy.

D6

Agentic AI

Design goal, plan, tool and observation loops with human approval.

D7

Vibe Coding

Read, test and revise AI-generated code for a clear purpose.

D8

AI PBL

Define human problems and validate and improve AI prototypes.

04 · PROGRAM TYPE

Choose a program for your
time and learning goal

Open a category for its program album, then select a program for objectives, standards, sessions, materials and operating information.

2–4 SESSIONS

Short Camps & Training

Experience a core AI principle and complete one clear outcome.

  • Image Recognition & Autonomous Driving
  • AI Recycling Sorter
  • AI Piggy Bank
View program album →8–16 SESSIONS

Semester Programs

Improve data and implement projects with apps, sensors and robots.

  • My First Moving AI Project
  • Data-Driven Autonomous Driving
  • Physical AI Problem Solving
View program album →32+ SESSIONS

Year-long Programs

Progress from AI literacy to a team capstone project.

  • AI Maker Project
  • Advanced Python Autonomous Driving
  • Team Capstone
View program album →