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2026–27 Learning Paths

Your Route from First Circuit
to Graduation Project

Three project-led learning routes for young makers and future engineers. Compare the outcomes, inspect every stage, and choose the path that matches each learner's age and interests.

Track 01 · Ages 7–10Creative Robotics FoundationsCircuits, Scratch, visual computing and block robotics Track 02 · Ages 12–17Robotics EngineeringElectronics, C, Arduino, IoT and intelligent systems Track 03 · Ages 12–17Applied AI & DataPython, data, machine learning and computer vision
Three Diplomas · One Academy

Choose Your Diploma Track

Every diploma is fully structured with defined levels, projects, and certificates. Start at the right track for your child's age and build all the way to graduation.

Diploma 01
Robotics with AI — Kids
Ages 7–10 · No experience needed
~10
Months
32
Sessions
64
Hours
5
Levels
Explore Curriculum
Diploma 02
Robotics with AI — Youth
Ages 12–17 · Electronics to AI Robots
~11
Months
42
Sessions
84
Hours
6
Levels
Explore Curriculum
Diploma 03
Applied AI & Data — Youth
Ages 12–17 · Python · Data · ML · Vision
8
Months
32
Sessions
64
Hours
6
Levels
Explore Curriculum
Side-by-Side Comparison

All Diplomas at a Glance

Use this table to find the right diploma based on age, experience, and goals.

DIPLOMA 01Creative Robotics Foundations DIPLOMA 02Robotics Engineering DIPLOMA 03Applied AI & Data
Age Group7–10 years12–17 years12–17 years
Duration~10 months~11 months8 months
Sessions32 sessions42 sessions32 sessions
Total Hours~64 hrs~84 hrs~64 hrs
Levels5 levels6 levels6 levels
Session Format30 Theory · 60 Lab · 20 Build · 10 Q&A30 Theory · 60 Lab · 20 Project · 10 Q&A20 Concept · 70 Coding Lab · 20 Challenge · 10 Review
ProgrammingScratch · PictoBlocks · ArduBlockC · Arduino C · IoT · OpenCVPython · Scikit-learn · TensorFlow · OpenCV
HardwareBreadboard · Sensors · MotorsArduino · ESP32 · Sensors · MotorsLaptop / PC — software only
PrerequisiteNoneNoneNone — Python taught from scratch
Certificate(s)Mini-Coder after Level 2Embedded Sys. after L2 · Robotics IoT AI after L5Data Science & ML after L4
Graduation DiplomaYoung Robotics & AI Engineer DiplomaAdvanced Robotics & AI Engineering DiplomaApplied AI Practitioner Diploma
Recommended Journeys

Which Path Is Right?

Each diploma stands alone. Some students may pursue more than one — the paths below help guide placement decisions.

Young child, no experience · Ages 7–10

Start by making

Build confidence through visible, hands-on results before moving into programming and autonomous behaviour.

Creative Robotics
Graduate with a working prototype
Teen with no prior experience · Ages 12–17

Engineer complete systems

Move from circuits and embedded code to connected devices, robotic motion and intelligent sensing.

Robotics Engineering
Graduate with a documented system
Software & AI focused teen · Ages 12–17

Turn data into decisions

Learn Python foundations, investigate real datasets and evaluate models before building applied AI projects.

Applied AI & Data
Graduate with a model report and demo
Combined route · hardware + software

Build the complete engineering profile

Complete Robotics Engineering first, then deepen the software and model-development practice through Applied AI & Data.

Robotics
+
Applied AI
Two documented capstones
01
Diploma 01 · Kids Track

Robotics with AI — Kids Diploma

Ages 7–10 Electronics · Scratch · PictoBlocks · ArduBlock No experience needed

A complete 5-level diploma designed for young learners ages 7–10. Students start with hands-on electronics, learn visual programming with Scratch, discover AI with PictoBlocks, and graduate by building their own obstacle-avoiding robot or smart home system. No prior coding experience required.

~10
Months
32
Sessions
~64
Hours
5
Levels
2
Awards
min
30
Theory & Concept
min
60
Hands-on Lab
min
20
Build & Create
min
10
Q&A + Review
Five stops on the creative robotics road
1
Electronics Fundamentals
1.5 Months · 6 Sessions · 12 hrs
Session 1–2
Voltage, current, resistance · Ohm's Law · LED basics
Session 3–4
Sensors introduction · Breadboard prototyping
Session 5–6
Tinkercad simulation · Level project build
✔Voltage, current, resistance & Ohm's Law
✔LEDs, sensors, breadboard prototyping
✔Tinkercad circuit simulation
✔Series & parallel circuits
Level Project: Interactive LED circuit — pushbutton-controlled LED display with sensor input
2
Scratch Programming
1.5 Months · 6 Sessions · 12 hrs
Session 1–2
Sprites, events, loops, conditions
Session 3–4
Variables, animation, sound effects
Session 5–6
Game mechanics, scoring · Level project
✔Sprites, events, loops & conditions
✔Variables, animation & sound
✔Game mechanics & scoring systems
✔Block-based programming logic
Level Project: Original Scratch game with scoring, levels, sounds, and animation
CertificateMini-Coder Certificate — awarded after completing Level 2
3
PictoBlocks AI
2 Months · 8 Sessions · 16 hrs
Session 1–2
What is AI? · Machine learning basics for kids
Session 3–4
Image recognition · Speech recognition
Session 5–6
Pose detection · AI + electronics integration
Session 7–8
Build AI-powered application · project refinement
✔What is AI? — simple explanation for kids
✔Image recognition with PictoBlocks
✔Speech recognition & voice commands
✔Pose detection & body tracking
✔Connecting AI to electronics
Level Project: Original AI-powered application using PictoBlocks (e.g. gesture-controlled game)
4
ArduBlock Robotics
2 Months · 8 Sessions · 16 hrs
Session 1–2
LED & buzzer control · IR sensor
Session 3–4
LDR sensor · ultrasonic sensor
Session 5–6
DC motor · L298N motor driver
Session 7–8
Obstacle-avoiding car project build
✔LED, buzzer control with blocks
✔IR sensor, LDR, ultrasonic sensor
✔DC motor control & L298N driver
✔Block-based Arduino programming
Level Project: Obstacle-avoiding car using ultrasonic sensor and motor driver
5
Graduation Projects with AI
1 Month · 4 Sessions · 8 hrs
🏠Option A: Smart Home System
Option B: Obstacle-Avoiding Car
🔐Option C: Security Detection System
CAPSTONE
Graduation: Full Robotics + AI Build
Students present their complete project to a judging panel. Parents attend the graduation ceremony where the diploma is officially awarded.
DiplomaYoung Robotics & AI Engineer Diploma — awarded at graduation ceremony
02
Diploma 02 · Youth Track

Robotics with AI — Youth Diploma

Ages 12–17 Electronics · C · Arduino · IoT · AI Vision No experience needed

A complete 6-level engineering diploma for teenagers 12–17. From electronics fundamentals through C programming, Arduino robotics, IoT systems, and AI integration — culminating in an autonomous robot with computer vision. Three certificates awarded throughout the journey plus the final diploma.

~11
Months
42
Sessions
~84
Hours
6
Levels
3
Awards
min
30
Theory
min
60
Lab Build
min
20
Mini Project
min
10
Q&A
Six stops on the robotics engineering road
1
Electronics Fundamentals
1.5 Months · 6 Sessions · 12 hrs
Session 1–2
Ohm's & Kirchhoff's laws · Resistors, capacitors
Session 3–4
BJT/FET transistors · Multimeter · Oscilloscope
Session 5–6
Tinkercad / Proteus simulation · Level project
✔Ohm's & Kirchhoff's laws
✔Resistors, capacitors, BJT/FET transistors
✔Multimeter & oscilloscope
✔Tinkercad / Proteus simulation
Level Project: LED matrix with pushbutton and sensor input
2
C Programming Foundation
2 Months · 8 Sessions · 16 hrs
Session 1–2
Variables, data types, conditions
Session 3–4
Loops (while/for/do-while)
Session 5–6
Arrays & functions
Session 7–8
Pointers, structs · Level project
✔Variables, data types, conditions
✔All loop types (while, for, do-while)
✔Arrays & functions
✔Pointers & structures
Level Project: Complete C program using arrays and functions
CertificateEmbedded Systems & Electronics Certificate — awarded after Level 2
3
Arduino Core Programming & Robotics
2 Months · 8 Sessions · 16 hrs
Session 1–2
Arduino C · GPIO · digitalWrite / analogRead
Session 3–4
PWM · IR sensor · LDR · ultrasonic
Session 5–6
L298N motor driver · servo motor
Session 7–8
Obstacle-avoiding robot car — full build
✔Arduino C programming (no blocks)
✔GPIO, PWM, analogRead/Write
✔IR, LDR, ultrasonic sensors
✔L298N motor driver & servo
Level Project: Obstacle-avoiding robot car in full Arduino C
4
IoT Systems (ESP32 & Cloud)
2 Months · 8 Sessions · 16 hrs
Session 1–2
ESP32 · WiFi & BLE basics
Session 3–4
MQTT · Firebase · Blynk IoT platform
Session 5–6
Web dashboards · Bluetooth · OTA updates
Session 7–8
WiFi robot + live cloud dashboard project
✔ESP32, WiFi/BLE connectivity
✔MQTT, Firebase, Blynk
✔Web dashboards & OTA updates
✔Bluetooth & cloud integration
Level Project: WiFi-controlled robot + live cloud dashboard
5
AI Integration with Robotics
2 Months · 8 Sessions · 16 hrs
Session 1–2
OpenCV basics · object detection
Session 3–4
Gesture control · face tracking
Session 5–6
Voice commands · sensor + AI fusion
Session 7–8
AI-integrated autonomous robot build
✔OpenCV object detection
✔Gesture control & face tracking
✔Voice commands integration
✔Sensor + AI fusion systems
Level Project: AI-integrated autonomous robot with computer vision
CertificateRobotics, IoT & AI Systems Certificate — awarded after Level 5
6
Graduation Projects
1 Month · 4 Sessions · 8 hrs
Option A: Autonomous Car
Option B: AI-Controlled Arm
Option C: Vision-guided sorting system
CAPSTONE
Graduation: Full AI + IoT + Robotics System
Students present their complete AI + IoT + robotics system to a judging panel. Full technical documentation required. Parents attend the graduation ceremony.
DiplomaAdvanced Robotics & AI Engineering Diploma — awarded at graduation ceremony
03
Diploma 03 · Software Track

Applied AI & Data — Youth Diploma

Ages 12–17 Python · Data · ML · NLP · Computer Vision No prior coding needed

A software-focused route for teens who want to understand how intelligent systems are built and evaluated. Students begin with Python, progress through data analysis and machine learning, study model quality and responsible use, then deliver a documented NLP or computer-vision application. No hardware is required.

8
Months
32
Sessions
~64
Hours
6
Levels
2
Awards
min
20
Concept
min
70
Coding Lab
min
20
Challenge
min
10
Review
Six stops on the applied AI road
1
Python Programming
6 Weeks · 6 Sessions · 12 hrs
Session 1–2
Variables, data types, control flow
Session 3–4
Functions, OOP, file I/O
Session 5–6
NumPy intro · Jupyter notebooks · Level project
✔Variables, data types, control flow
✔Functions & OOP
✔File I/O & external libraries
✔NumPy intro & Jupyter notebooks
Level Project: Python CLI application using OOP, file I/O, and external libraries
2
Mathematics for AI
4 Weeks · 4 Sessions · 8 hrs
Session 1–2
Linear algebra · vectors · matrices
Session 3–4
Statistics, probability and gradients through visual experiments
✔Linear algebra, vectors & matrices
✔Statistics & probability
✔Probability and uncertainty
✔Gradients and optimisation intuition
Level Project: Math in Python notebook using NumPy with statistical analysis
3
Data Analysis
4 Weeks · 4 Sessions · 8 hrs
Session 1–2
NumPy, Pandas · data cleaning
Session 3–4
Visualisation, data quality, bias checks · EDA project
✔NumPy & Pandas
✔Data cleaning & preprocessing
✔Matplotlib & Seaborn visualisation
✔EDA, data quality and bias checks
Level Project: Full EDA report on a real dataset with visualisations and insights
4
Machine Learning
5 Weeks · 5 Sessions · 10 hrs
Session 1–2
Supervised / unsupervised learning · regression
Session 3–4
Classification · clustering · PCA
Session 5
Model evaluation, overfitting and responsible use · Level project
✔Supervised & unsupervised learning
✔Regression & classification
✔Clustering & PCA
✔Evaluation, overfitting, fairness & Scikit-learn
Level Project: ML classification model with performance report
CertificateData Science & Machine Learning Certificate — awarded after Level 4
5
Deep Learning
5 Weeks · 5 Sessions · 10 hrs
Session 1–2
Neural networks · perceptron · activation functions
Session 3–4
Backpropagation · CNNs · Keras / TensorFlow
Session 5
Transfer learning · Level project build
✔Neural networks & perceptron
✔Activation functions & backpropagation
✔CNNs with Keras & TensorFlow
✔Transfer learning (MobileNet)
Level Project: Image classifier CNN with architecture diagram and training report
6
NLP & Computer Vision
8 Weeks · 8 Sessions · 16 hrs + Graduation
Session 1–2
Tokenisation · word embeddings · sentiment analysis
Session 3–4
LSTMs · chatbot development
Session 5–6
OpenCV · YOLO object detection
Session 7–8
Pose estimation or object tracking · privacy review · capstone
✔Tokenisation & word embeddings
✔Sentiment analysis & LSTMs
✔Chatbot development
✔OpenCV & YOLO object detection
✔Pose estimation, object tracking & privacy
CAPSTONE
Graduation: Complete NLP or Computer Vision Application
Students present a complete NLP or CV application to a judging panel with full code documentation and live demo. Applied AI Practitioner Diploma awarded at graduation ceremony.
DiplomaApplied AI Practitioner Diploma — awarded at graduation ceremony
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