// live online · ages 12–18 · project-based

Your child won't just use technology.They'll build it.

Live, interactive courses where kids learn to create real AI, websites, and robots — guided by a working AI engineer who ships these systems in production.

  • Live, not recorded
  • Build from week 1
  • AI-assisted, the right way
  • Certificate + final project
AI
Robotics
Web
build-lab
ai.pyapp.pyrobot.py
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PythonComputer VisionFlask APIsDatabasesESP32 RoboticsPrompt EngineeringReal DeploymentChatbotsMicroPythonGemini ProProblem SolvingPythonComputer VisionFlask APIsDatabasesESP32 RoboticsPrompt EngineeringReal DeploymentChatbotsMicroPythonGemini ProProblem Solving
3
Specialized tracks
12
Weeks per track
100%
Live & interactive
1
Real project you'll own
// the philosophy

Learn the fundamentals by hand. Scale with AI.

In a world where AI touches everything, we don't teach kids to lean on it blindly. They master the core themselves first — then use AI like a professional to build bigger and faster. They understand what they make, and AI multiplies their ability instead of replacing their thinking.

</>Learn the fundamentals by hand. Scale with AI.

Hands-on first

Every concept is written by the student before AI ever helps. Real understanding, not copy-paste.

AI as a partner

Then they use Gemini to explain, extend, and accelerate — guided by a clear prompting framework.

Two in-demand skills

They leave knowing how to code and how to work alongside AI — exactly what the job market rewards.

// weeks 1–3 · shared start

Everyone starts on the same strong base

No prior experience needed. The first three weeks are shared across all tracks — then your child chooses where to go deeper.

01Week

Python foundations

Variables and conditionals — and how to think like a programmer, step by step.

02Week

Loops & functions

Repeat work, organize code, and solve real problems with reusable building blocks.

03Week

AI, used correctly

The PARTS prompting framework and the golden rule: learn it by hand, then expand with AI.

By the end of week 3, your child understands every path well enough to choose with confidence.

Then — choose your track
// the three tracks

Pick the path that lights them up

Each track is 12 weeks, 3 hours a week, fully live, and ends with a project they're proud of.

12 weeks · live

Artificial Intelligence

Teach a machine to see, understand, and predict

Kids train computers to recognize images, understand language, and predict from data — building three kinds of AI with their own hands.

They'll build
  • Image classifier
  • Chatbot & text analyzer
  • Data predictor
Tools
PythonTeachable MachineGemini Pro

A real AI project, chosen and built by your child.

For the kid who wonders how YouTube & Netflix 'know' what to suggest.

See the 12-week plan
12 weeks · live

Full-Stack Web

Build real websites from the inside out

Not just the looks. Kids build the backend in Python, design a real database and API, then deploy to a real Ubuntu server on their own domain.

They'll build
  • Python backend & API
  • Real database (CRUD)
  • Live site on a real server
Tools
FlaskSQLite / PostgreSQLUbuntu + Nginx

A live web app on their own domain, shareable with anyone.

For the kid who wants to build things people actually use.

See the 12-week plan
Robotics
12 weeks · live

Robotics

Program the physical world

Lights, sensors, motors, and a robot controlled from a phone. Starts free in a browser simulator, then moves to a real, affordable kit.

They'll build
  • Obstacle-avoiding robot
  • Phone-controlled motors
  • Sensor alarm systems
Tools
ESP32MicroPythonWokwi simulator

A real robot they built, programmed, and can drive.

For the kid who loves making things that move and react.

See the 12-week plan
// how it works

Built like real engineering, sized for kids

Live & interactive

Real-time sessions with a real engineer — never pre-recorded videos. Questions answered on the spot.

Project from day one

Kids build something real from the first week. Learning happens through building, not lecturing.

AI as an assistant

A structured way to use Gemini to explain errors and extend projects — with a safety rule: understand before you trust.

Free, browser-based tools

Everything runs in the browser. All you need is a laptop and internet — no expensive setup.

// the full plan

Twelve weeks, mapped out

Transparent and detailed — see exactly what your child builds, week by week.

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Week 1

Foundations: variables & logic

ProjectA program that asks your name and replies; a guessing game

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Week 2

Foundations: loops, functions, libraries

ProjectPatterns, a counter, and a function that returns a result

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Week 3

Vision (no-code): train a model

ProjectAn image detector built with Teachable Machine

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Week 4

Vision: accuracy & data

ProjectImprove the detector — discover why more examples help

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Week 5

Vision (code): first vision library

ProjectRun a real image classifier in Python on your own photos

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Week 6

Vision: full project

ProjectAn app that recognizes categories your child picks

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Week 7

Language (no-code): how machines read

ProjectA simple chatbot on Machine Learning for Kids

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Week 8

Language (code): text analysis

ProjectA sentiment analyzer — is this sentence positive or negative?

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Week 9

Data: how machines predict

ProjectA program that predicts an outcome from past data

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Week 10

Data: visualize results

ProjectA chart of the data + reading what the model learned

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Week 11

Capstone: plan & build

ProjectYour child picks a project and builds it with a clear AI brief

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Week 12

Demo day

ProjectPresent the project + completion certificate

Weeks 1–3 are the shared foundation. Robotics weeks 1–6 run in a free simulator before any kit is needed.
// not theory — real builds

Real robots. Real code. Real proof.

This is the exact kind of project students finish with — a 4-wheel robot that senses obstacles and is driven live from a phone over Bluetooth.

Driven live from a phone app
Ultrasonic sensorMotor driverBluetooth controlPython logic
Hands-on assembly, step by step
Hands-on assembly, step by step
live
On the move — obstacle-aware driving
Wiring the brain: board, driver & sensor
Wiring the brain: board, driver & sensor
The finished build — sensor, motors, chassis
The finished build — sensor, motors, chassis
From parts to a working machine
From parts to a working machine
MH

Mohamed Hassan

AI & Software Engineer — iVend (Mobica Group)

100+
IoT machines on a platform he built solo
100k+
Live orders processed in production
BSc
Artificial Intelligence, Banha University
// who's teaching

Taught by someone who ships AI for a living

Your child learns from a working engineer who builds production AI systems every day: computer vision, LLM agents, and the platform behind a fleet of 100+ smart IoT machines. Not a reseller of someone else's course — the real thing, made simple for kids.

  • Production computer vision (YOLO pose detection)
  • LLM agents & RAG systems, shipped live
  • Satellite image classification — Egyptian Space Agency
  • Full-stack: Python, Flask, Django, PostgreSQL
iVend · Mobica Group · Egyptian Space Agency
// why parents choose this

An education that actually prepares them

Create, don't consume

Kids learn to make the technology shaping their world — not just scroll through it.

Small, live cohorts

Interactive sessions where every child is seen, not lost in a recording.

Real, portfolio-worthy work

They finish with a project and a certificate they can genuinely show off.

AI-native from day one

The skill the whole market is hiring for — taught responsibly and hands-on.

Almost zero cost to start

Free, browser-based tools. Only a laptop and internet to begin.

Bilingual & flexible

Taught in clear, kid-friendly language — in Arabic or English.

// questions

Everything parents ask

The courses are designed for ages 12 to 18, for complete beginners. No prior coding experience is required.

Limited seats · new cohort starting soon

Start your child's journey today

Seats are limited and new cohorts start soon. Send a message and let's find the right track together.