Advanced Internet of Things (IoT) with Arduino, Raspberry Pi & Cloud

Build Real-World IoT Systems. Learn Hardware + Programming + Cloud Integration

Become an Industry-Ready IoT Developer in Just 5 days!

The Internet of Things is transforming industries—smart homes, smart agriculture, wearable health tech, smart manufacturing, and more.
This Advanced IoT Course gives you complete hands-on experience with Arduino, Raspberry Pi, Python, MQTT, Node-RED, and AWS IoT.

Whether you’re a student, a working professional, or a tech enthusiast, this course gives you the skills to design, code, deploy, and manage IoT systems from scratch.

Why Join This IoT Course?

• End-to-End Learning: Hardware → Firmware → Networking → MQTT → Cloud → Automation → Dashboards.
• Work With Real IoT Components: Arduino UNO R3, Raspberry Pi 3, DHT11, MQ2 Gas sensor, IR sensor, relays & more.
• 90% Practical and Hands-On: Every module includes labs, hardware interfacing, and cloud experiments.
• Learn Modern IoT Cloud Platforms: AWS IoT, Thingspeak, IBM Watson IoT, Node-RED dashboards.
• Build Industry-Level IoT Projects: IoT Gateway, Weather Station, Sensor Data Visualisation, and a full capstone project.
• Perfect for Students & Working Professionals: Beginner-friendly but industry-focused.
• Certification + Lifetime Access to Digital Classroom

Skills You Will Learn:

IoT Skills

• IoT concepts, architecture, and standards
• Sensors, actuators & real-time data collection
• Embedded programming
• MQTT & IoT networking protocols
• IoT Gateways and device communication
• Node-RED flows, dashboards, automation

Hardware Programming

• Arduino programming (IR, DHT11, MQ2 sensor)
• Raspberry Pi OS, GPIO, LEDs, relays
• Serial communication (PC ↔ Arduino ↔ Raspberry Pi)

Cloud & DevOps Skills

• AWS IoT Core: Thing Registry, Rules Engine, Device Shadows
• Publishing/consuming MQTT messages
• Cloud triggers (Email/SMS via SNS)
• Data storage using DynamoDB
• Sending live sensor data to Thingspeak, IBM Watson

Programming Skills

• Python programming fundamentals
• Paho-MQTT for IoT messaging
• File handling, APIs, IoT automation scripts

Data & Visualization

• Cloud dashboards
• Node-RED visualization
• Real-time device monitoring

Who Should Join This Course?

This course is ideal for:

• UP/PG, Recent graduate, working professionals and IoT enthusiastic.
• Working professionals in IT, ECE, EEE, CS, AI/ML
• Embedded & Electronics enthusiasts
• IoT beginners looking to build hardware projects
• Faculty members & researchers exploring IoT
• Home automation hobbyists
• Anyone wanting to build real IoT devices

No deep programming or electronics background required — we start from basics.

Career Opportunities After This Course:

After completing this course, learners can pursue roles such as:

• IoT Engineer
• Embedded Systems Developer
• IoT Cloud Developer (AWS IoT)
• Home Automation Engineer
• IoT Solutions Architect
• IoT Data Analyst
• R&D IoT Project Engineer
• Python Developer (IoT)

Industries Hiring IoT Professionals:

• Smart Cities infra
• Healthcare Monitoring
• Manufacturing (Industry 4.0)
• Retail & Supply Chain
• Renewable Energy
• Automotive & EV Systems

Course Curriculum (with Hands-On Labs)

Module 1: Introduction to IoT

• What is IoT? Evolution from M2M
• IoT applications (Smart Home, Smart Grid, Healthcare)
• IoT job market & required skills
• IoT hardware overview: Arduino vs Raspberry Pi

Hands-On: Build your first Arduino LED blink circuit

Module 2: IoT Protocols & Communication

• Application layer protocols: HTTP, MQTT, CoAP, XMPP
• MQTT vs HTTP
• Publish-subscribe model
• Using Eclipse & Adafruit MQTT brokers

Hands-On: Publish and subscribe to live MQTT topics

Module 3: Python Programming for IoT

• Python basics, variables, loops
• Data structures, OOP, file handling
• OS/time modules

Hands-On: Create a Python-based IoT data logger

Module 4: Python Communication & MQTT

• Serial communication
• Controlling Arduino using Python
• Paho-MQTT

Hands-On: Send sensor data to MQTT cloud using Python

Module 5: Raspberry Pi – Getting Started

• Installing OS, configurations
• GPIO interfacing (LEDs, sensors)
• Serial communication with Arduino

Hands-On: Read DHT11 sensor data using Raspberry Pi

Module 6: Raspberry Pi – MQTT, Cloud & Automation

• MQTT on Raspberry Pi
• Build a local Mosquitto broker
• Send data to ThingSpeak cloud
• Control GPIO using Android MQTT Client

Hands-On: Build a Raspberry Pi MQTT mini-gateway

Module 7: IoT Gateway & Node-RED Dashboard

• Design an IoT gateway
• Data aggregation
• Node-RED basics
• Twitter automation
• IBM Watson & ThingSpeak integration

Hands-On: Build a real-time Node-RED dashboard

Module 8: AWS IoT – Part 1

• Create IoT Thing in registry
• Connecting device with certificates
• MQTT publish-subscribe
• AWS IoT Rules Engine

Hands-On: Connect Raspberry Pi to AWS IoT & send data

Module 9: AWS IoT – Part 2

• Device Shadows
• AWS IoT SDKs
• Email/SMS alerts using SNS
• Storing IoT data in DynamoDB

Hands-On: Create an IoT alert system using AWS IoT + SNS

Module 10: Guided Mini Projects

• IoT Gateway using MQTT
• Weather Station
• Sensor Data Visualization

Hands-On: Build & Demonstrate-Project

Capstone Project: Smart Environmental Monitoring & Automation System

Project Objective

Build a complete IoT system that monitors temperature, humidity, and gas levels, sends real-time cloud updates, triggers alerts, and automates outputs.

Key Features

• Arduino sensor node (DHT11, MQ2, IR)
• Raspberry Pi IoT Gateway
• MQTT data transmission
• Node-RED dashboard visualization
• AWS IoT cloud integration
• Email/SMS alerts via SNS
• Real-time device control via cloud

Deliverables

• System architecture
• Complete hardware implementation
• Cloud dashboard
• Python/Node-RED automation flow
• Final project report and presentation

Contact us for more details:

Phone: +91-8341957746 / +91-7842670309

Email: electrocloudlabs@gmail.com

Website: www.electrocloudlabs.com