IoT with Raspberry Pi & Arduino Course in chennai

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IOT with Raspberry Pi – Hardware & Software Integration Course in Chennai

Master Internet of Things (IoT) development, Raspberry Pi programming, hardware interfacing, sensor integration, cloud connectivity, and embedded application development with Edubrights’ IOT with Raspberry Pi – Hardware & Software Integration training in Chennai. This course is designed for students, freshers, electronics engineers, embedded engineers, IoT developers, automation engineers, robotics enthusiasts, software developers, and working professionals who want to build intelligent IoT applications using Raspberry Pi.

Gain hands-on experience with Raspberry Pi setup, GPIO programming, sensors, actuators, Python development, IoT communication protocols, cloud integration, edge computing, and real-world IoT projects through practical industry use cases.

Key Highlights:

✅ Real-Time IoT Projects & Smart Device Development Use Cases

✅ Live Instructor-Led Training by Experienced IoT & Raspberry Pi Experts

✅ Hands-On Practice with Raspberry Pi Hardware & IoT Development Tools

✅ Raspberry Pi Fundamentals, Linux Environment & Hardware Configuration

✅ GPIO Programming, Sensor Interfacing & Actuator Control

✅ Python Programming for Raspberry Pi & Embedded Application Development

✅ Camera Modules, Displays, Motors & Peripheral Device Integration

✅ MQTT, HTTP, Wi-Fi, Bluetooth & IoT Communication Protocols

✅ Cloud Connectivity, Device Monitoring & Remote Control Applications

✅ Edge Computing, Data Logging & Real-Time IoT Analytics

✅ IoT Security, Device Authentication & Performance Optimization

✅ Integration with Raspberry Pi OS, Python, Node-RED, Arduino, AWS IoT Core, Microsoft Azure IoT, Google Cloud, Firebase, MQTT Brokers & REST APIs

✅ Resume Building, Portfolio Development & Mock Interview Preparation

✅ Career Guidance, Placement Assistance & IoT Certification Support

✅ Flexible Online, Classroom & Weekend Training Options

✅ Corporate Training for Embedded Systems, Smart Manufacturing, Robotics, Automotive, Healthcare & Industrial Automation Teams

Build practical IoT with Raspberry Pi expertise, develop intelligent connected devices, integrate hardware and software seamlessly, deploy cloud-enabled IoT applications, and become industry-ready for careers in IoT Development, Embedded Systems Engineering, Raspberry Pi Development, Automation Engineering, Robotics, and Smart Device Development.

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₹35000

₹42000

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Course Objectives

Popular Techniques Covered in This Course

Get Hands-on Knowledge about Real-Time Projects

Curriculum

Module 1: Introduction to IoT and Raspberry Pi

IoT architecture: perception, network, and application layers
Raspberry Pi hardware overview: GPIO, interfaces, and models
Setting up Raspberry Pi OS: imaging, SSH, and Wi-Fi configuration
Python on Raspberry Pi: environment setup and GPIO library introduction

Module 2: GPIO and Basic Electronics

GPIO fundamentals: digital input and output, pull-up, and pull-down
LED control, button input, and basic circuit design
PWM: controlling motor speed, servo position, and LED brightness
I2C, SPI, and UART communication protocols explained

Module 3: Sensors and Actuators

Temperature and humidity sensing with DHT11 and DHT22
Distance measurement with HC-SR04 ultrasonic sensor
Motion detection with PIR sensor and GPIO interrupt handling
Relay module: controlling mains-powered devices from Raspberry Pi

Module 4: Networking and Communication Protocols

MQTT protocol: publish/subscribe messaging for IoT devices
Setting up Mosquitto MQTT broker on Raspberry Pi
REST API communication: sending sensor data to cloud endpoints
Bluetooth and Wi-Fi direct communication with IoT devices

Module 5: IoT Cloud Integration

AWS IoT Core: connecting Raspberry Pi as a managed IoT device
Azure IoT Hub: device registration and telemetry ingestion
Google Cloud IoT Core and Pub/Sub for IoT data streaming
MQTT to cloud: routing sensor data to cloud storage and analytics

Module 6: Data Visualisation and Edge Processing

Node-RED: visual flow-based programming for IoT pipelines
InfluxDB and Grafana: time-series storage and IoT dashboards
Edge processing: filtering and aggregating sensor data locally
OpenCV on Raspberry Pi: basic computer vision for IoT applications

Module 7: IoT Security and Reliability

Device authentication: certificates, tokens, and TLS for MQTT
Secure OTA (Over-The-Air) firmware updates for IoT devices
Watchdog timers and systemd services for device reliability
IoT security best practices: network segmentation and access control

Module 8: Capstone Project and Assessment

Environmental monitoring system: multi-sensor data to MQTT and cloud
Node-RED IoT automation pipeline with Grafana dashboard
Cloud-connected IoT device with secure MQTT and OTA update capability
Final assessment and course certification

Receive Training From Our Skilled and Effective Trainers

Experience in the Industry Gain expertise from IoT engineers who have designed and deployed connected device systems for smart buildings, industrial monitoring, agriculture, and consumer IoT products using Raspberry Pi and cloud IoT platforms.

Backgrounds at the Top Our IoT trainers have worked at hardware startups, industrial automation companies, and cloud IoT platform teams building end-to-end connected solutions from sensor to dashboard.

Clear & Effective Teaching Raspberry Pi GPIO, sensors, MQTT, cloud IoT integration, Node-RED, InfluxDB, Grafana, edge processing, and IoT security are explained with practical connected device project examples.

Hands-On Learning Focus Students wire sensors, write Python GPIO code, implement MQTT pipelines, connect to AWS or Azure IoT, build Grafana dashboards, and secure their IoT devices through structured project-based labs.

Up-to-Date Knowledge Trainers keep content current with the latest Raspberry Pi hardware releases, cloud IoT platform updates, Matter and Thread smart home standards, and evolving IoT architecture and security best practices.