Module 1 - Electrobot Senior Build Real Embedded Products. Master Arduino in 45 Days.
The Arduino course for school students that goes far beyond blinking LEDs. Solder real circuits, write embedded C, interface 15+ sensors, and finish with a working Smart Home Mini-Hub you can demo at home.
Program Highlights
Start Your Learning Journey With Confidence
Career Pathway
From Module 1 to a Real Engineering Career
Module 1 is the first deliberate step on a multi-year ladder. The ladder is intentional, structured, and tested across hundreds of Elysium students.
Module 1 is the first deliberate step on a multi-year ladder. The ladder is intentional, structured, and tested across hundreds of Elysium students.
| Stage Name | What You Build | Time Horizon |
|---|---|---|
| Beginner — Module 1 | Foundational embedded skill, Smart Home Hub | 45 Days |
| Intermediate — Modules 2 & 3 | IoT + cloud + robotics + AI vision projects | 3 Months |
| Advanced — Module 4 | Drone + custom PCB + product pitch | 45 Days |
| School Graduate — Electrobot Senior Complete | Portfolio + GitHub + certificate stack | 6 Months Total |
| College — Embedron Program | Real industry projects, internship referrals | Years 1–2 of college |
| Advanced College — Embedron+ | Specialisation: IoT, robotics, drones, AI | Years 2–3 of college |
| Industry — EmbedX Program | Real product launches, founder track | Years 3–4 of college |
| Career | Embedded Engineer, IoT Engineer, Founder, or higher studies abroad | Lifelong |
Role Transition Opportunities
- Embedded Engineer to IoT Architect — typically 3–5 years post-Module 1 foundation
- IoT Engineer to Robotics Engineer — natural lateral move after Modules 2 and 3 in college
- Embedded Engineer to Hardware Startup Founder — increasingly common path from Indian Tier-1 colleges
- Embedded Engineer to Hardware Startup Founder — increasingly common path from Indian Tier-1 colleges
Future Roadmap
Module 1 is not a destination. It is the launchpad. Here is exactly what is waiting for students who finish it strong.
Emerging Technologies Students Will Touch in the Full Program
- Emerging Technologies Students Will Touch in the Full Program
- AIoT — the convergence of AI and IoT in agriculture, cities, and consumer products
- Autonomous Mobility — lane following, obstacle avoidance, SLAM at hobby scale
- Drone Swarms — coordinated multi-drone missions
- Cybersecurity for IoT — TLS, secure boot, OTA security
- Industry 4.0 — OPC-UA, smart factory cells, predictive maintenance
- Sustainable Embedded Design — solar-powered nodes, energy-efficient firmware
- Sustainable Embedded Design — solar-powered nodes, energy-efficient firmware
Immediate Next Steps (Within Electrobot Senior)
| Module | Focus | Capstone |
|---|---|---|
| Module 2 | IoT, Wireless Communication & Cloud — ESP32, MQTT, mobile apps, LoRa, GSM | Smart Agriculture Monitoring System |
| Module 3 | Robotics, AI Vision & Autonomous Systems — Raspberry Pi, OpenCV, Edge Impulse, ROS intro | Object-Following Smart Robot |
| Module 4 | Drone Technology & Product Development — drone build, PCB design, productisation, pitch | Custom Industrial Drone Prototype |
Long-Term Industry Evolution
The students starting Module 1 today will graduate engineering college around 2030. By then, embedded engineering will be inseparable from AI, sustainability, and connected mobility. The Arduino habit students build in these 45 days — read the datasheet, draw the schematic, write the firmware, test the circuit, document the work — is the same habit that defines senior embedded engineers a decade from now.
Detailed Syllabus — Weekly Breakdown
Module 1 is delivered across six progressive weeks plus an integration and showcase week. Each week balances theory, hands-on labs, and project work. Daily sessions are 1.5 hours, totalling approximately 67 hours of structured learning.
| Week | Days | Theme | Concepts Covered | Key Practical Activity |
|---|---|---|---|---|
| 1 | 1–7 | Embedded Foundations | Arduino architecture, GPIO, ADC/DAC, PWM, timers, interrupts | Multi-LED non-blocking patterns |
| 2 | 8–14 | Sensors Deep Dive | Digital & analog sensors, calibration, signal conditioning, noise filtering | Weather monitoring with DHT22 + BMP280 + OLED |
| 3 | 15–21 | Actuators & Motors | Servos, steppers, DC motors, motor drivers, H-bridge | Programmable robotic arm prototype |
| 4 | 22–28 | Communication Protocols | UART, I2C, SPI, Bluetooth basics | Two-Arduino I2C master-slave demo |
| 5 | 29–35 | Embedded C Mastery | Functions, structs, pointers, libraries, state machines | Multi-zone smart lighting controller |
| 6 | 36–42 | Mini Capstone Build | System integration, debugging, documentation | Smart Home Mini-Hub assembly |
| 7 | 43–45 | Showcase & Assessment | Project polishing, viva, presentation, peer review | Final demo day + portfolio submission |
Module 1 - Electrobot Senior— Full Module 1 Build-Out
This is the complete, page-ready breakdown of Module 1. Each subsection can be lifted directly into a module-specific landing page or expanded into a downloadable PDF lead magnet.
Module Snapshot
| Attribute | Detail |
|---|---|
| Module Number | M1 |
| Module Name | Advanced Arduino & Embedded Foundations |
| Duration | 45 Days (6 Weeks + Showcase) |
| Learning Level | Intermediate to Advanced (School Level) |
| Prerequisites | Electrobot Junior or basic Arduino familiarity |
| Daily Session | 1.5 Hours |
| Total Learning Hours | Approximately 67 hours |
| Theory : Practical | 30% : 70% |
| Lab Experiments | 15+ |
| Mini Projects | 4 |
| Capstone | Smart Home Mini-Hub |
| Certificate | Certified Embedded Beginner — Arduino Foundations |
Theory Components (30%)
Theory sessions focus on conceptual depth, industry standards, and design intuition. Delivered as 25–30 minute concept blocks before hands-on labs.
- Arduino board architecture — AVR microcontroller, memory map, registers
- GPIO modes — input, output, input_pullup; bit-level register access
- Analog signals — ADC resolution, reference voltages, sampling theory
- PWM theory — duty cycle, frequency, motor speed control
- Timers and interrupts — hardware timers versus millis(), ISR safety rules
- Communication protocols — UART framing, I2C addressing, SPI clock modes
- Sensor types — passive versus active, analog versus digital, calibration
- Power design — source selection, current ratings, decoupling, regulators
- Industry standards — IEEE serial standards, electrical safety, ESD precautions
- Embedded design principles — modular code, fail-safe defaults, watchdog basics
Practical Components (70%)
Hands-on labs, sensor integration, debugging, and project assembly form the spine of every session. Students work individually and in pairs.
- Setting up Arduino IDE, PlatformIO, and VS Code workflow
- Breadboard circuits using best wiring practices and color codes
- Interfacing 10+ sensors with proper calibration
- Driving servos, steppers, and DC motors with appropriate drivers
- Non-blocking, multi-task Arduino code using millis() and state machines
- I2C and SPI communication between two Arduino boards
- Debugging using serial monitor, multimeter, and logic analyzer basics
- Through-hole soldering — joint inspection, desoldering
- Enclosure design with Tinkercad 3D and laser-cut acrylic
- Project documentation — schematics, BOM, code comments, demo videos
Lab Experiments — Full List
| Experiment Title | Industry Use Case |
|---|---|
| Blink Variations and Non-Blocking LED Patterns using millis() | Industrial signaling lamps |
| Reading Analog Sensors (LDR, Pot) with ADC | Smart lighting auto-dim |
| Servo Motor Control with PWM and Potentiometer Feedback | Robotic gripper positioning |
| Reading Temperature & Humidity using DHT22 with OLED Display | HVAC and cold-chain monitoring |
| Ultrasonic Distance Measurement with Buzzer Alert | Vehicle reverse-park sensors |
| Motion Detection with PIR Sensor and Relay-Controlled Lamp | Smart security lighting |
| I2C Communication between Two Arduinos (Master-Slave) | Industrial controller comms |
| Reading IMU Data (MPU6050) and Plotting Angles | Drone & vehicle stability |
| Stepper Motor Control with Limit Switches | CNC and 3D printer axes |
| Current Sensing using ACS712 for Load Monitoring | Industrial energy metering |
| Soil Moisture Sensor with Automatic Watering Pump | Smart agriculture irrigation |
| Multi-Sensor Data Logging to SD Card with Timestamps | Black-box vehicle data loggers |
| Building a State Machine for Traffic Light Controller | Smart-city traffic systems |
| Programmable RGB Strip Patterns (WS2812B) | Industrial mood/status lighting |
| Mini Robotic Arm with 3 Servos using Joystick Control | Pick-and-place automation |
Mini Projects
Mini Project 1 — Smart Home Light & Fan Controller
An energy-aware home automation prototype using a PIR sensor for occupancy, LDR for ambient light, and DHT22 for temperature. Relays switch real loads on and off, with an LCD displaying live status and manual override buttons. Maps directly to the consumer smart-home electronics segment.
Mini Project 2 — Digital Soil Health & Mini Greenhouse Monitor
A precision agriculture starter system. Soil moisture, DHT22 ambient sensing, BMP280 pressure, and LDR feed an Arduino that drives a mini water pump and ventilation fan. OLED shows live readings. Plant-species-specific thresholds make this directly relevant to home gardeners and small-farm AgriTech.
Mini Project 3 — Vehicle Reverse-Park Assistant
An entry-level ADAS prototype. Two HC-SR04 ultrasonic sensors monitor left and right bumper distances. A buzzer's beep frequency scales with proximity, while an RGB LED transitions from green to yellow to red. An LCD shows distance in centimetres. Mirrors aftermarket automotive park-assist systems.
Mini Project 4 — Industrial Conveyor Object Counter
An affordable production tracking system for small manufacturers. An IR break-beam sensor across a conveyor triggers an external interrupt on each object. The Arduino counts, calculates parts-per-minute, and displays results on an LCD. Optional Bluetooth uplink sends counts to a smartphone log.
Capstone Project — Smart Home Mini-Hub
Capstone Brief
10 days. One integrated product. Real demo day. Students build a multi-zone smart home controller on an Arduino Mega. The system features a 4-digit PIN-armed security mode, PIR-triggered alarms, DHT22 plus LDR-driven lighting and fan control, MQ-2 gas leak detection, and RTC-based night scheduling. Firmware is modular and uses a clean state machine across ARMED, DISARMED, ALARM, and NIGHT_MODE states. Final deliverables include the working prototype, a 3-minute demo video, a 5-slide pitch deck, schematic and BOM, GitHub repository, and individual lab logbook.
Hardware Provided in Module 1
- Arduino Uno R3, Arduino Nano, Arduino Mega
- DHT22, BMP280, MPU6050, MQ-2 / MQ-135 gas sensors, LDR, soil moisture, ACS712, RTC DS3231
- HC-SR04 ultrasonic, PIR, and IR sensors
- SG90 servo, 28BYJ-48 stepper with ULN2003 driver, DC gear motors, L298N driver
- 4-channel 5V and 12V relay modules
- 16x2 I2C LCD, 0.96-inch OLED, WS2812B RGB strip, 4x4 keypad
- Breadboards, jumper wires, multimeter, soldering iron, USB cables, power supplies
Software Stack Used
- Arduino IDE and PlatformIO with VS Code
- Tinkercad Circuits and Proteus 8 (simulation)
- Fritzing for schematic and breadboard documentation
- Serial Plotter and Logic Analyzer (Saleae or PulseView)
- Git and GitHub for version control
Industry Alignment Matrix
| Sector | Application in Module 1 | Real-World Mapping |
|---|---|---|
| Agriculture | Soil monitoring & automated irrigation | Commercial smart-farm starter kits |
| Manufacturing | Conveyor counters & machine condition sensing | Entry-level industrial counters |
| Defense | Perimeter intrusion sensing with PIR + buzzer | Scaled-down perimeter systems |
| Transport | Reverse-park assistant & in-vehicle sensors | Aftermarket parking systems |
Assessment Structure
| Component | Weightage | What Is Evaluated |
|---|---|---|
| Practical Lab Assessment | 30% | Daily logbook quality, circuit-build accuracy, debugging skills |
| Capstone Project Evaluation | 30% | Working prototype, code quality, documentation, demo |
| Viva-Voce | 15% | Oral examination on theory and concepts |
| Assignments & Quizzes | 10% | Weekly mini-tasks and concept checks |
| Attendance & Participation | 10% | Class engagement, peer support |
| Innovation Score | 5% | Originality and added features beyond the brief |
Five-Pillar Learning Framework
| Pillar | What Happens | Student Outcome |
|---|---|---|
| Discover | Concept introduction through demos, videos, real industry examples | Curiosity and context |
| Design | Block diagrams, flowcharts, schematic planning, system thinking | Engineering mindset |
| Develop | Hands-on circuit building, coding, sensor integration, debugging | Technical skill |
| Deploy | Working prototypes, demonstrations, field testing | Product mindset |
| Disrupt | Innovation, improvement cycles, startup-style pitching | Entrepreneurial thinking |
Theory and Practical Daily Split
| Component | Time Per Day | What Students Do |
|---|---|---|
| Theory | Approximately 27 minutes | Concepts, standards, architectures, protocols, design principles |
| Practical | Approximately 63 minutes | Lab work, coding, hardware interfacing, debugging, demos |
Pedagogical Approach
- Project-Based Learning — every concept is delivered through a working project
- Flipped Classroom Elements — pre-recorded concepts, in-class hands-on time
- Peer Learning — pair programming, team challenges, collaborative debugging
- Failure-Friendly Labs — encouraged experimentation, learning from broken circuits
- Industry Voices — monthly guest sessions from working engineers and entrepreneurs
- Show-and-Tell Culture — every Friday, students demo what they built
Assessment Discipline
- Continuous evaluation — daily logbook scoring, not weekly catch-up
- Capstone grading involves at least two trainers for objectivity
- Written feedback notes per module — not just numeric grades
- Photographs and short videos of every student's capstone retained





























