Build Real Smart Devices: India's Most Hands-On IoT Course for School Students
Master ESP32, MQTT, LoRa, and AWS IoT Core in 45 days. Build cloud-connected smart agriculture systems, mobile-controlled devices, and long-range wireless networks — the same technology stack powering Industry 4.0.
10,000+ school students trained across India
Built by IIT & industry-experienced engineers
Built by IIT & industry-experienced engineers
70% practical learning — no boring lectures
Industry-recognised certificate of completion
Program Highlights
Start Your Learning Journey With Confidence
- Course Overview
- Course Objective
- Learning Outcomes
- Who Should Enroll
- Course Features
- Industry & Job Connect
Why Module 2 Matters in 2026
Every connected device you use — your smartwatch, your air purifier, your delivery tracker — runs on the same four-layer stack: a sensor, a microcontroller, a wireless link, and a cloud service. By 2030, there will be more than 30 billion connected devices on the planet. The engineers, founders and product leaders behind them are being trained today. Module 2 of Electrobot Senior is where that training begins for an ambitious school student in India.
In this 45-day module, students step beyond local Arduino circuits and step into the world of Internet of Things. They learn how to make a sensor talk to the cloud, how a smartphone app can control a relay from another city, how LoRa radios send farm data across kilometres without WiFi, and how a fleet of devices is monitored on a dashboard like the ones used in real factories. By Day 45, each student has built a complete, multi-node smart agriculture system that mirrors commercial AgriTech products.
What Makes This Course Different
• Real industrial protocols — MQTT, HTTP REST, BLE, LoRa, GSM — taught with working hardware, not theory slides.
• ESP32 first approach — students master the same chip used by leading IoT product companies.
• Cloud dashboards on day one — Blynk, ThingSpeak, Node-RED, and a guided AWS IoT Core introduction.
• Mobile app integration with MIT App Inventor — students literally control their devices from their own phone.
• A capstone project — Smart Agriculture Monitoring System — that is portfolio-grade and demo-ready.
• Direct industry mapping into Agriculture, Manufacturing, Defence and Transport sectors.
Real-World Use Cases Embedded in the Module
| Industry | What You Build in This Module | Real Product It Mirrors |
|---|---|---|
| Agriculture | Cloud-connected smart irrigation system | Commercial AgriTech farm-monitoring kits |
| Manufacturing | Factory sensor dashboards with MQTT | Industrial SCADA telemetry |
| Smart Cities | Air quality monitor with mobile alerts | Government AQI sensing networks |
| Transport | Long-range GPS asset tracker | Logistics & cold-chain fleet trackers |
| Consumer | BLE-controlled smart fan with scheduling | Connected home appliances |
| Defence | Encrypted field telemetry over LoRa | Tactical sensor networks |
By the end of this 45-day module, every learner will be able to demonstrate the following clearly defined, measurable engineering competencies.
Module 2 is designed for curious, motivated school students who want to step beyond toy circuits into the world of real connected products. While this is a school-level course, the skills covered are the same ones tested in entry-level IoT engineering interviews.
Prerequisites
- Completion of Electrobot Senior Module 1, OR equivalent experience with Arduino and basic sensors.
- Familiarity with reading and writing simple C/C++ sketches in the Arduino IDE.
- Access to a laptop with at least 8 GB RAM and a stable internet connection.
- Ownership of an Android smartphone (recommended for MIT App Inventor labs).
- Curiosity, patience, and the willingness to debug when things break — they will.
| Learner Profile | Why This Course Fits | Outcome After 45 Days |
|---|---|---|
| Grade 9-12 students who completed Module 1 | Natural progression from local Arduino projects to internet-connected devices. | Cloud-connected capstone + GitHub portfolio. |
| School robotics & ATL club members | Brings club projects online with dashboards and mobile control. | Ready to lead state-level IoT competitions. |
| Self-taught Arduino tinkerers | Provides structure, mentorship and industry-grade tools. | From hobbyist to genuine product builder. |
| Aspiring engineering students | Strong portfolio asset for JEE supplementary applications and global universities. | Demonstrable proof of engineering aptitude. |
| Young entrepreneurs & founders | Capstone can evolve into an MVP for a real AgriTech or SmartCity startup. | First viable hardware product concept. |
| STEM enthusiasts curious about Industry 4.0 | Direct exposure to the same stack used in smart factories. | Vocabulary and skills of a junior IoT engineer. |
Every feature listed here is built into the standard fee — no surprise add-ons, no premium tier confusion.
| Feature | What You Actually Get |
|---|---|
| Live Projects | 15 hands-on lab experiments, each mapped to a real industry use case. |
| Mini Projects | 4 industry-focused mini projects executed in pairs or solo with mentor review. |
| Capstone Project | 10-day Smart Agriculture Monitoring System — multi-node, cloud-connected, dashboard-driven. |
| Industry Mentorship | Live mentor sessions with working IoT engineers and AgriTech founders. |
| Certificate of Completion | Industry-recognised Elysium certificate plus stage badge: Certified IoT & Cloud Innovator. |
| LMS & Course Portal | Lifetime access to lab manuals, code repositories, schematics and recorded sessions. |
| Downloadable Resources | Lab logbook templates, BOM sheets, schematic libraries, sample dashboards. |
| Internship Support | Curated openings via Elysium Industry Partner Network for top performers. |
| Interview Preparation | Mock viva, technical interview drills, and project presentation coaching. |
| Community Access | Private Discord / Telegram with alumni, mentors and recruiting partners. |
| Doubt Clearance | Daily doubt slots plus async support via the community channel. |
| Hardware Kit | Optional bundled hardware kit covering ESP32, LoRa, sensors, GSM and accessories. |
| Career Counselling | 1:1 session for college applications, engineering stream choice and scholarships. |
| Parent Reports | Monthly progress dashboards for parents with project artefacts and trainer notes. |
What we don't promise
We don't promise that your child will become an engineer in 45 days. We do promise that they will know — in their body, not just their head — what it feels like to build something that works. That feeling is the seed everything else grows from.
Hiring Industries
| Sector | Active IoT Hiring Areas in India & Globally |
|---|---|
| Agriculture / AgriTech | Precision farming startups, irrigation IoT, livestock tracking, climate-smart agriculture |
| Manufacturing | Industry 4.0, factory floor telemetry, predictive maintenance, OEE dashboards |
| Smart Cities | Air quality networks, smart parking, water management, street-lighting IoT |
| Healthcare | Connected medical devices, remote patient monitoring, wearable health tech |
| Automotive & EV | Connected cars, fleet telematics, EV battery monitoring, telematics dashboards |
| Energy & Utilities | Smart grid, smart meters, solar IoT, demand-response platforms |
| Logistics | Cold-chain monitoring, asset tracking, warehouse IoT, last-mile delivery |
| Defence | Surveillance sensor networks, soldier wearables, tactical communications |
| Consumer Electronics | Smart home, wearables, audio devices, connected appliances |
| Retail | Smart shelves, footfall analytics, inventory IoT, connected POS |
Job Roles This Module Prepares You For (Long-Term)
| Job Role | Typical Entry Path |
|---|---|
| IoT Engineer | Engineering degree + internship + this skill stack |
| Embedded Firmware Engineer | ECE / EEE / CSE + hands-on portfolio |
| IoT Solutions Architect | Engineering + 4-6 years experience |
| Edge Computing Engineer | Engineering + edge AI specialisation |
| Cloud IoT Developer | CSE/IT + cloud certifications |
| Industrial IoT (IIoT) Engineer | ECE + automation domain knowledge |
| AgriTech IoT Specialist | Engineering + agriculture / agritech exposure |
| Smart City Solutions Engineer | Engineering + civic tech |
| Robotics & IoT Engineer | Engineering + robotics specialisation |
| Wireless Communication Engineer | ECE + RF / wireless specialisation |
| IoT Product Manager | Engineering + product management + MBA optional |
| IoT Cybersecurity Analyst | Engineering + security certifications |
| Hardware Design Engineer | ECE + PCB design specialisation |
| Connected Devices QA Engineer | Engineering + test automation |
| IoT Startup Founder | Engineering + entrepreneurship |
| Field Application Engineer | Engineering + product evangelism |
| DevOps for IoT | CSE/IT + cloud infrastructure |
| Data Engineer for IoT Platforms | CSE + big-data tooling |
| Wearables Engineer | Engineering + low-power design |
| Drone & IoT Integration Engineer | Engineering + drone certifications (Module 4) |
Salary Snapshot (India, Indicative)
Salary ranges are illustrative and depend on city, company tier, and years of experience. They are referenced here to give school students a long-term horizon, not as a guarantee.
| Role | Fresher Range (₹ LPA) | Mid-Senior Range (₹ LPA) |
|---|---|---|
| Embedded / IoT Engineer | 4 – 8 | 12 – 28 |
| IoT Cloud Developer | 5 – 9 | 14 – 30 |
| Industrial IoT Engineer | 5 – 10 | 16 – 35 |
| IoT Solutions Architect | — | 25 – 60 |
| IoT Product Manager | — | 20 – 55 |
Career Pathway
Module 2 fits into a structured, multi-year roadmap that takes a curious school student all the way to a real engineering career.
Stage-Wise Progression
| Stage | Where Module 2 Fits | Next Step |
|---|---|---|
| Beginner | Module 1 — Advanced Arduino & Embedded Foundations completed. | Strengthen breadboard, sensors, embedded C. |
| Intermediate (You Are Here) | Module 2 — IoT, Wireless, Cloud. Building cloud-connected systems. | Move to robotics & AI vision in Module 3. |
| Advanced | Modules 3 & 4 — Robotics, AI, Drones & PCB design. | Apply for Embedron college programme. |
| Pre-College | National hackathons, ATL competitions, internships. | Strengthen portfolio and apply for top engineering colleges. |
| College | Engineering degree + Embedron + Embedron+ programmes. | Industry internships in IoT / robotics / AI. |
| Industry | EmbedX industry programme + first job. | Senior engineer, founder or specialist. |
Internal Skill Ladder Within Module 2
| Week | Skill Level Reached |
|---|---|
| Week 1 | Can build a WiFi-enabled ESP32 web server with sensor data. |
| Week 2 | Can publish data to MQTT broker and visualise it in Node-RED. |
| Week 3 | Can architect a multi-sensor cloud dashboard with alerts. |
| Week 4 | Can build a mobile app that controls a real hardware device. |
| Week 5 | Can build a 1 km wireless link and SMS-alert system. |
| Week 6 | Can integrate and demo a complete multi-node IoT product. |
| Week 7 | Can pitch, demo and document the project at startup standard. |
Future Technology Roadmap
Module 2 plants the seed for a long-term technology journey. Here is the path a serious student can follow over the next 6 to 8 years, beginning right after this module.
Emerging Technologies You'll Be Ready For
- AIoT — combining IoT data with on-device machine learning.
- TinyML — running models on microcontrollers like ESP32.
- Edge Computing — processing data near the sensor, not in the cloud.
- Digital Twins — virtual replicas of physical IoT systems.
- 5G and NB-IoT — next-generation connectivity for massive IoT deployments.
- Blockchain for IoT — secure, tamper-proof device identity.
- Smart Sustainability — energy-aware IoT, solar nodes, carbon dashboards.
| Time Horizon | Recommended Path | Why It Matters |
|---|---|---|
| Immediately After | Move to Module 3 — Robotics & AI Vision. | Combine connectivity with autonomy and intelligence. |
| Within 6 Months | Compete in national IoT hackathons and ATL Marathon. | Validates skills and adds national-level recognition. |
| By Grade 12 | Complete all 4 modules and earn Elysium Innovator's Medal. | Strongest possible school-leaving engineering portfolio. |
| After Grade 12 | Enter Elysium Embedron — College Programme. | Bridges school portfolio to college-grade product engineering. |
| During College | Embedron+ and industry internships. | Real working experience in IoT product companies. |
| After College | EmbedX Industry Programme + first full-time job. | Smoother transition from learner to engineer. |
| Long Term (Year 6+) | Specialise — IoT Security, Edge AI, IIoT, AgriTech, Smart Cities. | Become a recognised expert or domain founder. |
Detailed Syllabus
The 45-day syllabus is structured into 6 progressive weeks plus an integration & showcase week. Every week balances 30% theory with 70% practical, all delivered through working hardware and real cloud services.
Weekly Roadmap at a Glance
| Time Horizon | Recommended Path | Why It Matters |
|---|---|---|
| Immediately After | Move to Module 3 — Robotics & AI Vision. | Combine connectivity with autonomy and intelligence. |
| Within 6 Months | Compete in national IoT hackathons and ATL Marathon. | Validates skills and adds national-level recognition. |
| By Grade 12 | Complete all 4 modules and earn Elysium Innovator's Medal. | Strongest possible school-leaving engineering portfolio. |
| After Grade 12 | Enter Elysium Embedron — College Programme. | Bridges school portfolio to college-grade product engineering. |
| During College | Embedron+ and industry internships. | Real working experience in IoT product companies. |
| After College | EmbedX Industry Programme + first full-time job. | Smoother transition from learner to engineer. |
| Long Term (Year 6+) | Specialise — IoT Security, Edge AI, IIoT, AgriTech, Smart Cities. | Become a recognised expert or domain founder. |
Week 1 — ESP32 & WiFi Foundations
Module Overview: Students are introduced to the ESP32 — the dual-core, WiFi-capable workhorse of the IoT industry. They learn its architecture, set up the toolchain, and build their first connected device that serves a web page from a microcontroller.
Topics Covered
• ESP32 architecture: dual-core Xtensa, memory map, GPIO matrix
• Differences between Arduino Uno, ESP8266 and ESP32
• Setting up ESP32 board package in Arduino IDE and PlatformIO
• WiFi station (STA) and access point (AP) modes
• HTTP request methods: GET, POST, PUT, DELETE
• Building a custom HTML web server on ESP32
• Introduction to Over-the-Air (OTA) firmware updates
• Reading analog and digital sensors with ESP32
• Differences between Arduino Uno, ESP8266 and ESP32
• Setting up ESP32 board package in Arduino IDE and PlatformIO
• WiFi station (STA) and access point (AP) modes
• HTTP request methods: GET, POST, PUT, DELETE
• Building a custom HTML web server on ESP32
• Introduction to Over-the-Air (OTA) firmware updates
• Reading analog and digital sensors with ESP32
Practical Exercises
• Flash and configure the ESP32 DevKit V1
• Connect to home WiFi and print IP to serial monitor
• Build a WiFi web server that streams live sensor data
• Push first OTA firmware update wirelessly
• Read DHT22 + ESP32 ADC and display values on a browser
• Connect to home WiFi and print IP to serial monitor
• Build a WiFi web server that streams live sensor data
• Push first OTA firmware update wirelessly
• Read DHT22 + ESP32 ADC and display values on a browser
Assignment
Modify your WiFi web server to display three different sensor readings (temperature, humidity, light) on a single styled HTML page with auto-refresh every 5 seconds.
Mini Project
Build a personal WiFi-based weather station accessible from any phone or laptop on the same network.
Learning Outcome
Each student leaves Week 1 with a self-hosted, browser-accessible sensor server running on a ₹500 ESP32 — the first true IoT device of the journey.
Industry Application
Industrial IoT gateways, smart factory dashboards, retail in-store sensors, connected agriculture trial nodes.
Week 2 — MQTT & Real-Time IoT
Module Overview:
Week 2 moves students from request-response thinking to event-driven, real-time IoT communication using MQTT — the protocol behind almost every connected product in the world.
Topics Covered
• Publish-subscribe communication model versus client-server
• MQTT brokers: Mosquitto, HiveMQ, EMQX
• MQTT topics, wildcards and hierarchical design
• Quality of Service (QoS 0, 1, 2) and when to use which
• Retained messages and Last Will & Testament (LWT)
• Securing MQTT with username/password and TLS basics
• Introduction to Node-RED for flow-based dashboards
• JSON payload design — keys, schema, versioning
• MQTT brokers: Mosquitto, HiveMQ, EMQX
• MQTT topics, wildcards and hierarchical design
• Quality of Service (QoS 0, 1, 2) and when to use which
• Retained messages and Last Will & Testament (LWT)
• Securing MQTT with username/password and TLS basics
• Introduction to Node-RED for flow-based dashboards
• JSON payload design — keys, schema, versioning
Practical Exercises
• Set up Mosquitto MQTT broker on a laptop
• ESP32 publishes sensor data to broker.hivemq.com
• Subscribe in MQTT.fx and observe live messages
• Build a Node-RED flow with gauges and charts
• Implement QoS 1 with delivery confirmation logging
• ESP32 publishes sensor data to broker.hivemq.com
• Subscribe in MQTT.fx and observe live messages
• Build a Node-RED flow with gauges and charts
• Implement QoS 1 with delivery confirmation logging
Assignment
Design a topic hierarchy for a fleet of 100 smart streetlights across 10 zones. Document the structure and justify your design choices in a one-page note.
Mini Project
Build a real-time temperature monitoring dashboard with at least three ESP32 nodes publishing to a common broker and one Node-RED consumer.
Learning Outcome
Students gain the ability to build the same MQTT-based, broker-driven architectures used by major IoT platforms — from AWS IoT to Azure IoT Hub.
Industry Application
Smart factory telemetry, vehicle fleet tracking, smart-city sensor networks, real-time energy monitoring.
Week 3 — Cloud Platforms & Dashboards
Module Overview: Students graduate from local brokers to public cloud platforms — the same ones used by IoT startups and enterprises worldwide.
Topics Covered
• Blynk platform: virtual pins, widgets, mobile-first dashboards
• ThingSpeak: time-series data, channels, MATLAB analytics integration
• Introduction to AWS IoT Core — devices, things, certificates, policies
• REST APIs and webhook patterns for cloud integration
• Dashboard design principles: clarity, hierarchy, alerts
• Grafana for time-series visualisation
• Data privacy, GDPR considerations for IoT
• ThingSpeak: time-series data, channels, MATLAB analytics integration
• Introduction to AWS IoT Core — devices, things, certificates, policies
• REST APIs and webhook patterns for cloud integration
• Dashboard design principles: clarity, hierarchy, alerts
• Grafana for time-series visualisation
• Data privacy, GDPR considerations for IoT
Practical Exercises
• Build a Blynk dashboard with charts, gauges and switches
• Push 24-hour sensor history to ThingSpeak and visualise trends
• Register an ESP32 as a Thing on AWS IoT Core
• Set up secure MQTT with X.509 certificates
• Create a Grafana dashboard reading from MQTT or InfluxDB
• Push 24-hour sensor history to ThingSpeak and visualise trends
• Register an ESP32 as a Thing on AWS IoT Core
• Set up secure MQTT with X.509 certificates
• Create a Grafana dashboard reading from MQTT or InfluxDB
Assignment
Compare Blynk, ThingSpeak and AWS IoT Core across five criteria — ease of use, cost, scalability, security and mobile experience. Produce a one-page comparison sheet.
Mini Project
Cloud-Based Smart Plant Watering System — sensors push to ThingSpeak, dashboard graphs visible globally, pump triggered by rule logic.
Learning Outcome
Each student is now able to onboard a device, build a dashboard, and demonstrate live cloud data — a workflow nearly identical to entry-level IoT engineering tasks.
Industry Application
Precision agriculture platforms, smart home consumer products, fleet dashboards, building management systems.
Week 4 — Mobile App Integration
Module Overview: Week 4 closes the loop between hardware and humans. Students build real Android applications using MIT App Inventor and pair them with their ESP32 devices over Bluetooth Low Energy (BLE) and WiFi.
Topics Covered
• Bluetooth Classic vs BLE — when to use which
• BLE GATT services and characteristics
• MIT App Inventor — designer, blocks, packaging APK
• BLE pairing and reconnection strategies
• Sending and receiving structured data from a mobile app
• Designing UX for IoT control apps
• Introduction to Flutter for advanced learners (preview only)
• BLE GATT services and characteristics
• MIT App Inventor — designer, blocks, packaging APK
• BLE pairing and reconnection strategies
• Sending and receiving structured data from a mobile app
• Designing UX for IoT control apps
• Introduction to Flutter for advanced learners (preview only)
Practical Exercises
• Build a BLE peripheral on ESP32 with custom service UUIDs
• Create a MIT App Inventor app that scans and connects
• Toggle an LED, then a relay, from the mobile app
• Send slider values to control PWM brightness wirelessly
• Save schedules in ESP32 EEPROM from the app
• Create a MIT App Inventor app that scans and connects
• Toggle an LED, then a relay, from the mobile app
• Send slider values to control PWM brightness wirelessly
• Save schedules in ESP32 EEPROM from the app
Assignment
Design a complete UI mock-up for a smart home control app covering lights, fan, schedule and energy view. Submit as Figma file or annotated sketch.
Mini Project
BLE-Controlled Smart Fan with speed and schedule, fully controllable from a custom App Inventor app installed on the student's phone.
Learning Outcome
Students will have their first real app installed on their own phone, controlling their own hardware — a magical milestone in any IoT learner's journey.
Industry Application
Smart appliances, wearable health devices, retail beacons, assistive technology, fitness equipment.
Week 5 — Long-Range Wireless & Low Power
Module Overview: Most real-world IoT deployments cannot rely on WiFi. Week 5 introduces the technologies that connect remote farms, forests, factories and fleets — LoRa, GSM cellular, and deep-sleep power management.
Topics Covered
• LoRa physical layer: spreading factor, bandwidth, range
• LoRa point-to-point versus LoRaWAN architectures
• GSM/GPRS fundamentals and AT command interface
• SIM800L module: voice, SMS, GPRS, current-draw realities
• Power budgeting: active, idle, sleep, deep-sleep currents
• Battery chemistries: 18650 Li-ion, LiPo, NiMH
• Solar charging basics with TP4056 + boost converter
• LoRa point-to-point versus LoRaWAN architectures
• GSM/GPRS fundamentals and AT command interface
• SIM800L module: voice, SMS, GPRS, current-draw realities
• Power budgeting: active, idle, sleep, deep-sleep currents
• Battery chemistries: 18650 Li-ion, LiPo, NiMH
• Solar charging basics with TP4056 + boost converter
Practical Exercises
• LoRa point-to-point text messages between two Arduino + SX1278 nodes
• Field test 1 km LoRa range in an open area
• Send threshold-triggered SMS from SIM800L on Arduino
• Run ESP32 in deep-sleep, wake on timer every 30 minutes
• Measure current with a USB power meter at each sleep state
• Field test 1 km LoRa range in an open area
• Send threshold-triggered SMS from SIM800L on Arduino
• Run ESP32 in deep-sleep, wake on timer every 30 minutes
• Measure current with a USB power meter at each sleep state
Assignment
Calculate the theoretical battery life of an ESP32 sensor node waking once an hour, transmitting via LoRa, and sleeping. Show your assumptions and arithmetic.
Mini Project
Long-Range Cattle / Asset Tracker (LoRa + GPS) — mobile node tracks position, transmits via LoRa to a base gateway that uploads to a web map.
Learning Outcome
Students gain the ability to design IoT systems that work where WiFi cannot reach — opening doors to agritech, environmental monitoring, and tactical applications.
Industry Application
Smart agriculture, livestock tracking, environmental sensing, defence sensor networks, logistics asset trackers.
Week 6 — Capstone: Smart Agriculture Monitoring System
Module Overview:
Week 6 is where everything comes together. Students build a complete, multi-node, cloud-connected smart agriculture monitoring system that mirrors commercial AgriTech products available in the Indian market today.
Topics Covered
• System architecture and component selection
• Edge logic versus cloud logic — where to compute what
• Failsafe design: what happens when the cloud goes down
• Energy harvesting and field-grade enclosures
• Cybersecurity hardening for the capstone
• Project documentation and version control workflows
• Edge logic versus cloud logic — where to compute what
• Failsafe design: what happens when the cloud goes down
• Energy harvesting and field-grade enclosures
• Cybersecurity hardening for the capstone
• Project documentation and version control workflows
Practical Exercises
• Build two LoRa field nodes and one ESP32 gateway
• Configure the gateway as MQTT publisher to ThingSpeak
• Implement rule engine: dry soil → pump on, extreme temp → SMS alert
• Design a multi-zone Node-RED dashboard with 24-hour graphs
• Conduct a full system test in a controlled garden or campus area
• Configure the gateway as MQTT publisher to ThingSpeak
• Implement rule engine: dry soil → pump on, extreme temp → SMS alert
• Design a multi-zone Node-RED dashboard with 24-hour graphs
• Conduct a full system test in a controlled garden or campus area
Assignment
Document your capstone as a startup-grade README with problem statement, architecture diagram, BOM, schematics, photos and demo video link.
Mini Project
The capstone itself — Smart Agriculture Monitoring & Control System.
Learning Outcome
Students walk away with a portfolio-grade product, a working demo video, a GitHub repository, and the genuine experience of having shipped an end-to-end IoT solution.
Industry Application
Agriculture — direct mapping to commercial smart-farm products and the foundation for an AgriTech startup pitch.
Week 7 — Showcase, Pitch & Final Assessment
Module Overview:
The final three days are dedicated to presenting work to peers, parents, mentors and external panellists. Students learn that engineering is only half the job — communication is the other half.
Topics Covered
• 5-minute pitch structure: problem, solution, demo, ask
• Slide design fundamentals for technical demos
• Handling questions and feedback gracefully
• Building a public GitHub README that recruiters trust
• Recording a polished 3-minute demo video
• Slide design fundamentals for technical demos
• Handling questions and feedback gracefully
• Building a public GitHub README that recruiters trust
• Recording a polished 3-minute demo video
Practical Exercises
• Rehearse a 5-slide pitch with peers and refine based on feedback
• Record a final demo video using a smartphone
• Final viva-voce with two trainers
• Peer review using a structured rubric
• Capstone exhibition for parents and external mentors
• Record a final demo video using a smartphone
• Final viva-voce with two trainers
• Peer review using a structured rubric
• Capstone exhibition for parents and external mentors
Assignment
Submit final portfolio package: working hardware, GitHub link, pitch deck, demo video and signed lab logbook.
Mini Project
Polish all four mini projects and the capstone into one consolidated portfolio site or PDF.
Learning Outcome
Students leave Module 2 with documented, presentable, demo-ready work — and the confidence to talk about IoT to anyone, from a curious cousin to a college interviewer.
Industry Application
Pitching skills directly transfer to engineering interviews, hackathons, internship applications and startup competitions.
Week-by-Week Module Documents
Curriculum Framework
The Electrobot Senior framework is built on a 5-pillar pedagogical model that has been validated across thousands of school-level learners.
| Pillar | What It Means | How It Appears in Module 2 |
|---|---|---|
| Discover | Concept introduction with demonstrations and real-world context. | Industry case studies, live MQTT trace demos, founder guest sessions. |
| Design | Block diagrams, architecture sketches, system thinking. | Topic hierarchies, JSON schema design, cloud-vs-edge logic mapping. |
| Develop | Hands-on coding, wiring, sensor integration. | Daily ESP32 labs, Node-RED flows, mobile app blocks. |
| Deploy | Working prototypes, demos, field tests. | 1 km LoRa field test, full capstone system test, demo day. |
| Disrupt | Innovation, improvement cycles, startup pitch. | Capstone pitch, business model canvas, peer-judged showcase. |
Theory–Practical Distribution
Out of the 1.5 hours of daily class time, only the first 25 to 30 minutes are dedicated to theory. The rest is spent on labs, debugging, and project work — because IoT engineering is muscle memory, not memorisation.
| Component | Daily Time | Activity Examples |
|---|---|---|
| Theory (30%) | ≈ 27 minutes | Concepts, protocols, architectures, security primitives, design principles |
| Practical (70%) | ≈ 63 minutes | Labs, coding, hardware interfacing, debugging, projects, demos |
Assessment Structure
| Component | Weightage | Description |
|---|---|---|
| Practical Lab Assessment | 30% | Daily lab logbook quality, dashboard work, sensor-to-cloud chains. |
| Capstone Project Evaluation | 30% | Working multi-node prototype, dashboard, mobile element, demo. |
| Viva-Voce | 15% | Theory on MQTT, WiFi, LoRa, cloud platforms and IoT security. |
| Assignments & Quizzes | 10% | Concept checks, JSON design tasks, cloud-account assignments. |
| Attendance & Participation | 10% | Engagement, peer support, classroom presence. |
| Innovation Score | 5% | Originality — cloud rules, security features, energy optimisations. |
FAQ
Frequently Asked Questions
These FAQs are written to satisfy real student and parent doubts, and they are structured for FAQ Schema markup so search engines can show them directly in results.