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3 Diploma Tracks ยท Full Curriculum

Complete Curriculum
Roadmap 2025โ€“26

Three structured diplomas โ€” from ages 7 to 17. Every level documented, every project defined, every skill mapped. Find your track and build your future.

Kids โ€” Robotics with AI ยท Ages 7โ€“10 Youth โ€” Robotics with AI ยท Ages 12โ€“17 Youth โ€” AI Diploma ยท Ages 12โ€“17
Three Diplomas ยท 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 โ€” Kids
Ages 7โ€“10 ยท No experience needed
~10
Months
32
Sessions
64
Hours
5
Levels
Explore Curriculum
Diploma 02
Robotics with AI โ€” Youth
Ages 12โ€“17 ยท Electronics to AI Robots
~11
Months
42
Sessions
84
Hours
6
Levels
Explore Curriculum
Diploma 03
AI Diploma โ€” Youth Track
Ages 12โ€“17 ยท Python ยท ML ยท CV ยท NLP
8
Months
30
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 01๐ŸŸขRobotics with AI โ€” Kids DIPLOMA 02๐Ÿ”ตRobotics with AI โ€” Youth DIPLOMA 03๐ŸŸฃAI Diploma โ€” Youth Track
Age Group7โ€“10 years12โ€“17 years12โ€“17 years
Duration~10 months~11 months8 months
Sessions32 sessions42 sessions30 sessions
Total Hours~64 hrs~84 hrs~64 hrs
Levels5 levels6 levels6 levels
Session Format30 Theory ยท 60 Lab ยท 20 Build ยท 10 Q&A30 Theory ยท 60 Lab ยท 20 Project ยท 10 Q&A30 Theory ยท 70 Coding Lab ยท 20 Project ยท 10 Review
ProgrammingScratch ยท PictoBlocks ยท ArduBlockC ยท Arduino C ยท IoT ยท OpenCVPython ยท Scikit-learn ยท TensorFlow ยท OpenCV
HardwareBreadboard ยท Sensors ยท MotorsArduino ยท ESP32 ยท Sensors ยท MotorsLaptop / PC โ€” software only
PrerequisiteNoneNoneNone โ€” Python taught from scratch
Certificate(s)Mini-Coder after Level 2Embedded Sys. after L2 ยท 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 โ€” the paths below help guide placement decisions.

Young child, no experience ยท Ages 7โ€“10
Robotics with AI โ€” Kids
โ†’ Diploma ๐Ÿ†
Teen with no prior experience ยท Ages 12โ€“17
Robotics with AI โ€” Youth
โ†’ Diploma ๐Ÿ†
Software & AI focused teen ยท Ages 12โ€“17
AI Diploma โ€” Youth Track
โ†’ Diploma ๐Ÿ†
Complete Engineer โ€” hardware + software
Robotics with AI
+
AI Diploma
โ†’ 2 Diplomas ๐Ÿ†๐Ÿ†
01
Diploma 01 ยท Kids Track

Robotics with AI โ€” Kids Diploma

Ages 7โ€“10 Electronics ยท Scratch ยท PictoBlocks ยท ArduBlock No experience needed

A complete 5-level diploma designed for young learners ages 7โ€“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
All 5 Levels โ€” Master Roadmap
1
Electronics Fundamentals
1.5 Months ยท 6 Sessions ยท 12 hrs
Session 1โ€“2
Voltage, current, resistance ยท Ohm's Law ยท LED basics
Session 3โ€“4
Sensors introduction ยท Breadboard prototyping
Session 5โ€“6
Tinkercad simulation ยท Level project build
โœ”Voltage, current, resistance & Ohm's Law
โœ”LEDs, sensors, breadboard prototyping
โœ”Tinkercad circuit simulation
โœ”Series & parallel circuits
Level Project: Interactive LED circuit โ€” pushbutton-controlled LED display with sensor input
2
Scratch Programming
1.5 Months ยท 6 Sessions ยท 12 hrs
Session 1โ€“2
Sprites, events, loops, conditions
Session 3โ€“4
Variables, animation, sound effects
Session 5โ€“6
Game mechanics, scoring ยท Level project
โœ”Sprites, events, loops & conditions
โœ”Variables, animation & sound
โœ”Game mechanics & scoring systems
โœ”Block-based programming logic
Level Project: Original Scratch game with scoring, levels, sounds, and animation
๐ŸŽ–๏ธ Mini-Coder Certificate โ€” awarded after completing Level 2
3
PictoBlocks AI
2 Months ยท 8 Sessions ยท 16 hrs
Session 1โ€“2
What is AI? ยท Machine learning basics for kids
Session 3โ€“4
Image recognition ยท Speech recognition
Session 5โ€“6
Pose detection ยท AI + electronics integration
Session 7โ€“8
Build AI-powered application ยท project refinement
โœ”What is AI? โ€” simple explanation for kids
โœ”Image recognition with PictoBlocks
โœ”Speech recognition & voice commands
โœ”Pose detection & body tracking
โœ”Connecting AI to electronics
Level Project: Original AI-powered application using PictoBlocks (e.g. gesture-controlled game)
4
ArduBlock Robotics
2 Months ยท 8 Sessions ยท 16 hrs
Session 1โ€“2
LED & buzzer control ยท IR sensor
Session 3โ€“4
LDR sensor ยท ultrasonic sensor
Session 5โ€“6
DC motor ยท L298N motor driver
Session 7โ€“8
Obstacle-avoiding car project build
โœ”LED, buzzer control with blocks
โœ”IR sensor, LDR, ultrasonic sensor
โœ”DC motor control & L298N driver
โœ”Block-based Arduino programming
Level Project: Obstacle-avoiding car using ultrasonic sensor and motor driver
5
Graduation Projects with AI
1 Month ยท 4 Sessions ยท 8 hrs
๐Ÿ Option A: Smart Home System
๐Ÿš—Option B: Obstacle-Avoiding Car
๐Ÿ”Option C: Security Detection System
๐Ÿ†
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.
๐ŸŽ“ Young Robotics & AI Engineer Diploma โ€” awarded at graduation ceremony
02
Diploma 02 ยท Youth Track

Robotics with AI โ€” Youth Diploma

Ages 12โ€“17 Electronics ยท C ยท Arduino ยท IoT ยท AI Vision No experience needed

A complete 6-level engineering diploma for teenagers 12โ€“17. From electronics fundamentals through C programming, Arduino robotics, IoT systems, and AI integration โ€” 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
All 6 Levels โ€” Master Roadmap
1
Electronics Fundamentals
1.5 Months ยท 6 Sessions ยท 12 hrs
Session 1โ€“2
Ohm's & Kirchhoff's laws ยท Resistors, capacitors
Session 3โ€“4
BJT/FET transistors ยท Multimeter ยท Oscilloscope
Session 5โ€“6
Tinkercad / Proteus simulation ยท Level project
โœ”Ohm's & Kirchhoff's laws
โœ”Resistors, capacitors, BJT/FET transistors
โœ”Multimeter & oscilloscope
โœ”Tinkercad / Proteus simulation
Level Project: LED matrix with pushbutton and sensor input
2
C Programming Foundation
2 Months ยท 8 Sessions ยท 16 hrs
Session 1โ€“2
Variables, data types, conditions
Session 3โ€“4
Loops (while/for/do-while)
Session 5โ€“6
Arrays & functions
Session 7โ€“8
Pointers, structs ยท Level project
โœ”Variables, data types, conditions
โœ”All loop types (while, for, do-while)
โœ”Arrays & functions
โœ”Pointers & structures
Level Project: Complete C program using arrays and functions
๐ŸŽ–๏ธ Embedded Systems & Electronics Certificate โ€” awarded after Level 2
3
Arduino Core Programming & Robotics
2 Months ยท 8 Sessions ยท 16 hrs
Session 1โ€“2
Arduino C ยท GPIO ยท digitalWrite / analogRead
Session 3โ€“4
PWM ยท IR sensor ยท LDR ยท ultrasonic
Session 5โ€“6
L298N motor driver ยท servo motor
Session 7โ€“8
Obstacle-avoiding robot car โ€” full build
โœ”Arduino C programming (no blocks)
โœ”GPIO, PWM, analogRead/Write
โœ”IR, LDR, ultrasonic sensors
โœ”L298N motor driver & servo
Level Project: Obstacle-avoiding robot car in full Arduino C
4
IoT Systems (ESP32 & Cloud)
2 Months ยท 8 Sessions ยท 16 hrs
Session 1โ€“2
ESP32 ยท WiFi & BLE basics
Session 3โ€“4
MQTT ยท Firebase ยท Blynk IoT platform
Session 5โ€“6
Web dashboards ยท Bluetooth ยท OTA updates
Session 7โ€“8
WiFi robot + live cloud dashboard project
โœ”ESP32, WiFi/BLE connectivity
โœ”MQTT, Firebase, Blynk
โœ”Web dashboards & OTA updates
โœ”Bluetooth & cloud integration
Level Project: WiFi-controlled robot + live cloud dashboard
5
AI Integration with Robotics
2 Months ยท 8 Sessions ยท 16 hrs
Session 1โ€“2
OpenCV basics ยท object detection
Session 3โ€“4
Gesture control ยท face tracking
Session 5โ€“6
Voice commands ยท sensor + AI fusion
Session 7โ€“8
AI-integrated autonomous robot build
โœ”OpenCV object detection
โœ”Gesture control & face tracking
โœ”Voice commands integration
โœ”Sensor + AI fusion systems
Level Project: AI-integrated autonomous robot with computer vision
๐ŸŽ–๏ธ Robotics, IoT & AI Systems Certificate โ€” awarded after Level 5
6
Graduation Projects
1 Month ยท 4 Sessions ยท 8 hrs
๐Ÿš—Option A: Autonomous Car
๐ŸฆพOption B: AI-Controlled Arm
๐Ÿ‘๏ธOption C: Smart Vision Attendance System
๐Ÿ†
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.
๐ŸŽ“ Advanced Robotics & AI Engineering Diploma โ€” awarded at graduation ceremony
03
Diploma 03 ยท AI Track

AI Diploma โ€” Youth Track

Ages 12โ€“17 Python ยท ML ยท Deep Learning ยท NLP ยท CV No prior coding needed

A software-focused AI diploma for teens 12โ€“17. Students start with Python from zero, progress through mathematics for AI, data analysis, machine learning, deep learning, and culminate with NLP and computer vision projects. All coding โ€” no hardware required. Two certificates plus the Applied AI Practitioner Diploma.

8
Months
30
Sessions
~64
Hours
6
Levels
2
Awards
min
30
Theory
min
70
Coding Lab
min
20
Mini Project
min
10
Review
All 6 Levels โ€” Master Roadmap
1
Python Programming
6 Weeks ยท 6 Sessions ยท 12 hrs
Session 1โ€“2
Variables, data types, control flow
Session 3โ€“4
Functions, OOP, file I/O
Session 5โ€“6
NumPy intro ยท Jupyter notebooks ยท Level project
โœ”Variables, data types, control flow
โœ”Functions & OOP
โœ”File I/O & external libraries
โœ”NumPy intro & Jupyter notebooks
Level Project: Python CLI application using OOP, file I/O, and external libraries
2
Mathematics for AI
4 Weeks ยท 4 Sessions ยท 8 hrs
Session 1โ€“2
Linear algebra ยท vectors ยท matrices
Session 3โ€“4
Statistics, probability, Bayes theorem ยท gradient descent
โœ”Linear algebra, vectors & matrices
โœ”Statistics & probability
โœ”Bayes theorem
โœ”Calculus & gradient descent
Level Project: Math in Python notebook using NumPy with statistical analysis
3
Data Analysis
4 Weeks ยท 4 Sessions ยท 8 hrs
Session 1โ€“2
NumPy, Pandas ยท data cleaning
Session 3โ€“4
Matplotlib, Seaborn ยท EDA project
โœ”NumPy & Pandas
โœ”Data cleaning & preprocessing
โœ”Matplotlib & Seaborn visualisation
โœ”Exploratory Data Analysis (EDA)
Level Project: Full EDA report on a real dataset with visualisations and insights
4
Machine Learning
5 Weeks ยท 5 Sessions ยท 10 hrs
Session 1โ€“2
Supervised / unsupervised learning ยท regression
Session 3โ€“4
Classification ยท clustering ยท PCA
Session 5
Model evaluation ยท Scikit-learn ยท Level project
โœ”Supervised & unsupervised learning
โœ”Regression & classification
โœ”Clustering & PCA
โœ”Model evaluation & Scikit-learn
Level Project: ML classification model with performance report
๐ŸŽ–๏ธ Data Science & Machine Learning Certificate โ€” awarded after Level 4
5
Deep Learning
5 Weeks ยท 5 Sessions ยท 10 hrs
Session 1โ€“2
Neural networks ยท perceptron ยท activation functions
Session 3โ€“4
Backpropagation ยท CNNs ยท Keras / TensorFlow
Session 5
Transfer learning ยท Level project build
โœ”Neural networks & perceptron
โœ”Activation functions & backpropagation
โœ”CNNs with Keras & TensorFlow
โœ”Transfer learning (MobileNet)
Level Project: Image classifier CNN with architecture diagram and training report
6
NLP & Computer Vision
8 Weeks ยท 8 Sessions ยท 16 hrs + Graduation
Session 1โ€“2
Tokenisation ยท word embeddings ยท sentiment analysis
Session 3โ€“4
LSTMs ยท chatbot development
Session 5โ€“6
OpenCV ยท YOLO object detection
Session 7โ€“8
Face recognition ยท Capstone project
โœ”Tokenisation & word embeddings
โœ”Sentiment analysis & LSTMs
โœ”Chatbot development
โœ”OpenCV & YOLO object detection
โœ”Face recognition systems
๐Ÿ†
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.
๐ŸŽ“ Applied AI Practitioner Diploma โ€” awarded at graduation ceremony
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