← All programmes
AGES 7–17 · ONLINE & ON CAMPUS

Python & AI for Kids

From a first line of Python to thoughtful experiments with data and AI.

✳Small steps.
Real creations.

An adventure in making

Ages 7–9: teacher-led short code examples, reading/typing support and paper AI activities. Ages 10+: increasingly independent text coding when ready. AI uses invented data, human review and no child-facing general chatbot.

Each level: 12 weeks, 24 sessions. One guided lesson and one maker studio each week. Every module includes prediction, making, an off-screen task, a test, reflection and feedback. The final private showcase includes a revised project. This proposed original curriculum needs academic review before teaching.

12 weeks · 24 sessions per level

One guided lesson and one practice studio each week. A private project, reflection and teacher review complete the level.

Meet the teachers ↗

What your child will explore

Write and explain Python code
Explore patterns in data
Test ideas and discuss AI limitations

Level 1 · Learning map

Proposed Level 1: 12 modules / 24 sessions. Prerequisite: no coding experience; a readiness conversation with the family. Completion evidence: an explained prototype, two tests, one revision, reflection and teacher rubric review.

01
First messages in Python25 minute activity
02
Name a value25 minute activity
03
Predict, run, debug25 minute activity
04
Numbers and calculations25 minute activity
05
Strings and messages25 minute activity
06
Ask for input safely25 minute activity
07
If and else25 minute activity
08
Repeat with for25 minute activity
09
Keep a list25 minute activity
10
Functions help us reuse25 minute activity
11
Read simple data25 minute activity
12
My Python helper25 minute activity

Level 2 · Learning map

Proposed Level 2: 12 modules / 24 sessions. Prerequisite: Level 1 skills or a teacher-reviewed equivalent project. Completion evidence: an explained prototype, two tests, one revision, reflection and teacher rubric review.

01
From script to small program25 minute activity
02
Clean non-personal data25 minute activity
03
What AI can and cannot do25 minute activity
04
Dictionaries describe things25 minute activity
05
Validate an answer25 minute activity
06
Files with sample data25 minute activity
07
Describe a dataset25 minute activity
08
A rule-based classifier25 minute activity
09
Training and testing examples25 minute activity
10
Fair examples matter25 minute activity
11
Evaluate predictions25 minute activity
12
Responsible AI showcase25 minute activity

Teacher reference resources

Raspberry Pi Foundation: Introduction to Python ↗

UNESCO AI competency framework for students ↗

Our original outline is informed by these resources. No affiliation or certification by these organisations is claimed.
CHOOSE A LEVEL & BATCH

Level 1

৳7,000

3 months per level · No admission fee

OnlineProposed: Fri & Sat 11:00–12:00 (Asia/Dhaka), 24 sessionsOct. 9, 2026 · 12 seats available
Enroll
On campusProposed: Fri & Sat 09:00–10:00 (Asia/Dhaka), 24 sessionsOct. 9, 2026 · 12 seats available
Enroll

Level 2

৳7,000

3 months per level · No admission fee

OnlineProposed: Fri & Sat 16:00–17:00 (Asia/Dhaka), 24 sessionsOct. 9, 2026 · 12 seats available
Enroll
On campusProposed: Fri & Sat 14:00–15:00 (Asia/Dhaka), 24 sessionsOct. 9, 2026 · 12 seats available
Enroll

Not sure where to start? Meet us first.

Request a trial ↗