IoT with Raspberry Pi & Arduino

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

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.