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Engineering & Computer Science Track · 2026

Complete Course Catalogue
& Curriculum Roadmap

Four structured courses — from ages 8 to 18. Every phase documented, every project defined, every skill mapped. Choose your track and own your future.

01 · Basic Robotics · Ages 8–12 02 · Advanced Robotics · Ages 12–18 03 · Robotics with AI · Ages 12–18 04 · AI & Data Science · Ages 14–18
Four Courses · One Academy

Pick Your Starting Point

All courses are part of a connected learning track. Start at the right level for your age and experience — and progress all the way to cutting-edge AI.

Course 01
Basic Robotics
Ages 8–12 · No experience needed
6.5
Months
26
Sessions
52
Hours
4
Phases
Explore Curriculum
Course 02
Advanced Robotics
Ages 12–18 · Arduino C + IoT
8.5
Months
34
Sessions
68
Hours
5
Phases
Explore Curriculum
Course 03
Robotics with AI
Ages 12–18 · IoT + Vision + AI
8
Months
32
Sessions
64
Hours
5
Phases
Explore Curriculum
Course 04
AI & Data Science
Ages 14–18 · Python · ML · CV
9
Months
36
Sessions
72
Hours
5
Phases
Explore Curriculum
Side-by-Side Comparison

All Courses at a Glance

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

COURSE 01 🟢 Basic Robotics COURSE 02 🔵 Advanced Robotics COURSE 03 🟣 Robotics with AI COURSE 04 🟡 AI & Data Science
Age Group 8–12 years 12–18 years 12–18 years 14–18 years
Duration 6.5 months 8.5 months 8 months ~9 months
Sessions 26 sessions 34 sessions 32 sessions ~36 sessions
Total Hours ~52 hrs ~68 hrs 64 hrs ~72 hrs
Phases 4 phases 5 phases 5 phases 5 phases
Projects 3+ projects 5+ projects 8+ projects 5+ projects
Programming Scratch + Ardublocks Ardublocks + Arduino C Arduino C + Python/AI Python (full stack)
Hardware Basic electronics Arduino + sensors Arduino + ESP32 + RPi No hardware
AI / IoT None Intro IoT only IoT + Computer Vision ML / Data Science / CV
Recommended Learning Path

Where Do You Start?

Every student has a unique entry point. Here's the recommended progression for each profile.

Young beginners · Ages 8–12
Basic Robotics
→
Advanced Robotics
Teens with no experience · Ages 12–18
Advanced Robotics
→
Robotics with AI
Software & AI focused teens
AI & Data Science
parallel with or after
Advanced Robotics
Complete engineer track
Basic
→
Advanced
→
AI Robotics
+
Data Science
01
Course 01 · Foundation Level

Basic Robotics

Ages 8–12 Scratch + Ardublocks + Electronics No prior experience needed

This foundational course introduces young learners to the exciting world of electronics and robotics. Starting with hands-on electronics theory and progressing through visual programming tools, students build real projects without needing to write code manually. The course culminates in a fun robot showcase.

6.5
Months
26
Sessions
~52
Hours
4
Phases
3+
Projects
min
30
Theory & Concept
min
60
Hands-on Lab
min
20
Mini Project
min
10
Q&A + Review
Master Roadmap — All Phases
1
Electronics Fundamentals
Weeks 1–6 · 1.5 Months · 12 hrs
Week 1
Voltage, current, resistance · Ohm's Law
Week 2
Capacitors, transistors, diodes
Week 3
Digital logic gates · Breadboard
Week 4
Multimeter · Tinkercad simulation
Week 5–6
Voltage regulators · Battery types · Phase Project
✔ Ohm's & Kirchhoff's laws
✔ Resistors, capacitors, inductors
✔ BJT transistors & AC vs DC signals
✔ Multimeter & breadboard use
✔ Tinkercad simulation
✔ Power systems basics
Phase ProjectBlinking LED matrix with pushbutton control and basic sensor input
2
Scratch Programming
Weeks 7–14 · 2 Months · 16 hrs
Week 1
Scratch interface · sprites · events
Week 2
Loops & conditions in Scratch
Week 3
Variables & user input
Week 4
Animations & sound
Week 5–6
Simple games in Scratch · Phase Project
✔ Scratch interface, sprites & events
✔ Loops, conditions, variables
✔ Animations, sounds & user input
✔ Simple game design logic
Phase ProjectInteractive animated Scratch game with score tracking
3
Ardublocks (Visual Arduino)
Weeks 15–22 · 2 Months · 16 hrs
Week 1
Ardublocks IDE · digital I/O
Week 2
LEDs, buttons, buzzers
Week 3
Sensors: ultrasonic, light
Week 4
DC motor + motor driver block
Week 5–6
Servo motor control blocks · Phase Project
✔ Ardublocks IDE setup
✔ Digital & analog I/O blocks
✔ LEDs, buzzers, buttons
✔ Ultrasonic & light sensors
✔ DC motor driver blocks
✔ Servo control
Phase ProjectSensor-controlled robot with obstacle detection
4
Integrated Projects
Weeks 23–26 · 1 Month · 8 hrs
Week 23
Mini robot car assembly
Week 24
Line-follower with blocks
Week 25
Obstacle avoidance demo
Week 26
Final Showcase Presentation
🏆
Capstone: Mini Robot Car Demo
Students assemble a mini robot car, implement line-following and obstacle-avoidance logic using Ardublocks, then demonstrate their projects at a final showcase.
02
Course 02 · Intermediate–Advanced

Advanced Robotics

Ages 12–18 Arduino C + IoT Introduction Prior basic electronics helpful

This intermediate-to-advanced course takes students from electronics fundamentals all the way through real Arduino C programming and an introduction to IoT. Students build multiple robots, write actual embedded C code, and connect devices wirelessly — preparing them for university-level engineering or the Robotics with AI diploma.

8.5
Months
34
Sessions
~68
Hours
5
Phases
5+
Projects
min
30
Theory & Concept
min
60
Hands-on Lab
min
20
Mini Project
min
10
Q&A + Review
Master Roadmap — All Phases
1
Electronics Fundamentals
Weeks 1–6 · 1.5 Months · 12 hrs
Week 1
Voltage, current, resistance · Ohm's & Kirchhoff's Laws
Week 2
Components: capacitors, transistors, FET, diodes
Week 3
Digital logic gates · Breadboard circuit building
Week 4
Test equipment · Tinkercad / Proteus simulation
Week 5–6
Power systems: regulators, batteries, distribution · Phase Project
Phase ProjectBlinking LED matrix with pushbutton control and sensor input
2
Ardublocks (Visual Arduino)
Weeks 7–10 · 1 Month · 8 hrs
✔ Digital/analog pin control
✔ LEDs, buzzers, buttons
✔ Ultrasonic & IR sensors
✔ DC motor + L298N driver blocks
✔ Servo control
Phase ProjectSensor-controlled robot using block-based programming
3
C Programming for Embedded Systems
Weeks 11–18 · 2 Months · 16 hrs
Wk 11
Variables, data types, operators, conditions
Wk 12
Loops (for/while) and functions
Wk 13
Arrays, strings & structs
Wk 14
Pointers & memory management
Wk 15
Bit manipulation & register control
Wk 16
Interrupts & ISRs
Wk 17
Timers, PWM & watchdog
Wk 18
I2C · SPI · UART protocols
Phase ProjectPWM-controlled DC motor speed with sensor feedback and UART serial debug
4
Arduino Level 1
Weeks 19–26 · 2 Months · 16 hrs
✔ UNO/MEGA/Nano boards
✔ Digital & analog I/O · Libraries & shields
✔ Ultrasonic HC-SR04 · IR line sensor array
✔ IMU & accelerometer
✔ DC motor + L298N · Servo + stepper motors
🤖 Line-follower robot
🤖 Obstacle-avoidance bot
🦾 2-DOF servo arm
🚗 RC-controlled vehicle
Phase ProjectFully autonomous obstacle-avoidance robot with PID line tracking
5
Arduino Level 2 + IoT Introduction
Weeks 27–34 · 2 Months · 16 hrs
✔ Advanced timers & interrupts
✔ I2C/SPI multi-device bus
✔ EEPROM data logging
✔ Custom libraries & OOP in C++
✔ Bluetooth HC-05 pairing
✔ NRF24L01 radio modules
✔ ESP32 WiFi + BLE
✔ MQTT & Firebase cloud
✔ Blynk web dashboard
✔ Remote robot control
🏆
Capstone: WiFi-Controlled Robot
WiFi-controlled robot with live sensor dashboard and cloud data logging via Firebase and Blynk.
03
Course 03 · Advanced Diploma

Robotics with AI

Ages 12–18 IoT + Computer Vision + TinyML + NLP

The most comprehensive robotics diploma — students progress from electronics basics through full Arduino robotics, then enter IoT connectivity and cutting-edge AI integration. By the end, students build AI-powered robot arms using computer vision for real-time object tracking, voice commands via ChatGPT API, and edge AI with TensorFlow Lite.

8
Months
32
Sessions
64
Hours
5
Phases
8+
Projects
min
30
Theory & Concept
min
60
Hands-on Lab
min
20
Mini Project
min
10
Q&A + Review
Master Roadmap — All Phases
1
Electronics Fundamentals
Weeks 1–4 · 1 Month · 8 hrs
✔ Ohm's & Kirchhoff's laws
✔ Resistors, capacitors, inductors
✔ BJT & FET transistors
✔ AC vs DC · Multimeter & oscilloscope
✔ Breadboard prototyping & Tinkercad
✔ Voltage regulators & battery types
Phase ProjectBlinking LED matrix with pushbutton control and basic sensor input
2
C Programming for Embedded Systems
Weeks 5–12 · 2 Months · 16 hrs
Wk 5
Variables, data types, operators, conditions
Wk 6
Loops (for/while) and functions
Wk 7
Arrays, strings & structs
Wk 8
Pointers & memory management
Wk 9
Bit manipulation & register control
Wk 10
Interrupts & ISRs
Wk 11
Timers, PWM & watchdog
Wk 12
I2C · SPI · UART protocols
Phase ProjectPWM-controlled DC motor speed with sensor feedback and UART serial debug
3
Arduino + Robotics
Weeks 13–20 · 2 Months · 16 hrs
Wk 13
Arduino UNO/MEGA · IDE · digital & analog I/O
Wk 14
Ultrasonic & IR distance sensors
Wk 15
DC motor & L298N motor driver
Wk 16
Servo motors & stepper motors
Wk 17
Robot chassis assembly & wiring
Wk 18
Line-follower logic & PID basics
Wk 19
Obstacle-avoidance algorithm
Wk 20
2-DOF robot arm build & control
Phase ProjectFully autonomous obstacle-avoidance robot car with PID line tracking
4
ESP32 + IoT + Connectivity
Weeks 21–24 · 1 Month · 8 hrs
Week 21
ESP32 WiFi · BLE · dual-core architecture
Week 22
MQTT protocol · Firebase realtime DB
Week 23
Web dashboard · remote robot control
Week 24
Smart home mini-system integration
✔ FreeRTOS multitasking
✔ OTA firmware updates
✔ Deep sleep power modes
✔ AWS IoT overview
✔ Blynk dashboard
Phase ProjectIoT environmental monitoring station with live web dashboard and remote alerts
5
AI Integration with Robotics
Weeks 25–32 · 2 Months · 16 hrs
Wk 25
Python basics for AI & OpenCV setup
Wk 26
Image processing · face & object detection
Wk 27
YOLOv8 real-time object detection on RPi
Wk 28
Camera → robot feedback loop
Wk 29
TensorFlow Lite & TinyML on MCU
Wk 30
Training lightweight gesture models
Wk 31
ChatGPT API · voice command NLP
Wk 32
Final project build, test & presentation
✔ OpenCV + Python · Face & object detection
✔ YOLOv8 on Raspberry Pi
✔ TF Lite for MCUs
✔ Gesture recognition & on-device inference
✔ ChatGPT API integration
✔ Voice command NLP
✔ ROS intro & demo
🏆
Capstone: AI-Controlled Robot Arm
AI-controlled robot arm using computer vision for real-time object tracking and grasping — integrating YOLOv8, TinyML, and ChatGPT voice commands.
04
Course 04 · Software & AI Track

AI & Data Science

Ages 14–18 No hardware required Python · ML · Computer Vision · Capstone

A pure software diploma covering the full AI and Data Science stack. Students learn Python from scratch, explore data science and visualization, build real machine learning models, dive into computer vision with OpenCV and YOLO, and finish with AI+robotics capstone projects. Perfect for students aiming for AI, software engineering, or data science careers.

9
Months
36
Sessions
~72
Hours
5
Phases
5+
Projects
min
30
Theory & Concept
min
60
Hands-on Lab
min
20
Mini Project
min
10
Q&A + Review
Master Roadmap — All Phases
1
AI Foundations (Python & AI Intro)
Weeks 1–6 · 1.5 Months · 12 hrs
Week 1
Python basics: variables, data types, operators
Week 2
Control flow: if/else, loops, functions
Week 3
Lists, dictionaries, file I/O
Week 4
What is AI? History & real-world applications
Week 5
Intro to AI tools: ChatGPT API, Hugging Face
Week 6
Mini Project: Python chatbot with API
Phase ProjectAI-powered Python chatbot using ChatGPT API with custom prompting
2
Python & Data (Data Science)
Weeks 7–14 · 2 Months · 16 hrs
✔ NumPy arrays & operations
✔ Pandas DataFrames & data cleaning
✔ Matplotlib & Seaborn visualization
✔ Exploratory data analysis (EDA)
✔ Statistics: mean, median, std dev, correlation
✔ Real datasets (CSV, JSON, APIs)
✔ Data storytelling & dashboards
Phase ProjectFull EDA report on a real-world dataset with visualizations and insights
3
Machine Learning (ML Models)
Weeks 15–22 · 2 Months · 16 hrs
Wk 15
ML concepts: supervised vs unsupervised
Wk 16
Linear & logistic regression
Wk 17
Decision trees & random forests
Wk 18
scikit-learn: train/test/evaluate
Wk 19
K-Means clustering & PCA
Wk 20
Neural network basics (Keras)
Wk 21
Model tuning & overfitting prevention
Wk 22
Deploying ML models with Flask
Phase ProjectTrained ML classifier deployed as a web app — predicts real-world outcomes
4
Computer Vision (Vision Systems)
Weeks 23–30 · 2 Months · 16 hrs
✔ OpenCV fundamentals
✔ Image filtering, edges, morphology
✔ Feature detection (SIFT, ORB)
✔ Face detection with Haar cascades
✔ Deep learning for vision (CNN basics)
✔ YOLOv8 object detection
✔ Transfer learning (MobileNet)
✔ Real-time video processing
Phase ProjectReal-time object detection system using YOLOv8 with custom-trained classes
5
AI + Robotics Projects (Capstone)
Weeks 31–36 · 1.5 Months · 12 hrs
Weeks 31–32
Capstone project planning & proposal
Weeks 33–34
Build & integrate AI system
Week 35
Testing, debugging & optimization
Week 36
Final presentation & portfolio
🤖 AI-powered robot vision system
🏠 Smart home ML controller
💬 NLP text analysis app
🚗 Autonomous navigation simulation
🧠 Custom AI model deployment
🏆
Capstone: Full AI/ML Portfolio Project
Full AI/ML project with documented GitHub portfolio and live demo presentation — ready for university applications and career portfolios.
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