Advance Level Robotics

Table of Content

1 Chapter 1: Python Foundations — Variables, Loops & Functions for Engineers
2 Chapter 2: Python Data Science — Sensor Data Analysis & Visualisation
3 Chapter 3: Machine Learning Foundations — Train Your First AI Model
4 Chapter 4: Computer Vision — Detect Objects with OpenCV!
5 Chapter 5: Autonomous Rover — Full Build & Navigation System
6 Capter 6: IoT Protocol Deep Dive — MQTT, Node-RED & Real-Time Automation
7 Chapter 7: Cybersecurity for IoT — Vulnerabilities, TLS & Ethical Hacking
8 Chapter 8: MicroPython on ESP32 — Python Runs on Your Microcontroller!
9 Chapter 9: TinyML — Deploy a Neural Network on Your Microcontroller
10 Chapter 10: Space Tech IoT — Real Satellite Data in Your Python Program!
11 Chapter 11: Computer Vision + Robotics — Visual Servo Tracking System
12 Chapter 12: AI for Social Good — Build a Solution for an SDG Challenge
13 Chapter 13: SLAM Concepts — Robot Mapping & Localisation
14 Chapter 14: Capstone Sprint — Full Build, V&V Testing & Documentation
15 Chapter 15: Innovation Showcase — Present to Experts, Inspire the World!

Kits and Tools

Robot Vector
Kits
What Students build With it.
🐍 Python + Libraries
Pandas, Matplotlib, Scikit-learn, OpenCV, Requests
🟠 Google Colab
Machine learning, neural networks, model evaluation
🔧 Edge Impulse
TinyML, motion classification, ESP32 deployment
🚀 Makerboard (ESP32)
MicroPython, IoT, MQTT, TLS security, visual servo
🤖 Robotics Kit
Autonomous rover, visual servo, SLAM simulation
🌐 IoT Platforms
ThingSpeak, HiveMQ, Node-RED, Telegram Bot, IFTTT
👁 WebAR (A-Frame)
OpenCV integration, real-time AR overlays
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