IoT with Raspberry Pi and Arduino
Why colleges run this
IoT connects the physical and digital worlds across agriculture, manufacturing and cities; a working connected device with a cloud dashboard is a standout final-year project.
Course outcomes
CO1
Describe the architecture of an IoT system from sensor to cloud
K2CO2
Program a microcontroller to read sensors and drive actuators
K3CO3
Control hardware from a Raspberry Pi using Python
K3CO4
Transmit device telemetry using MQTT
K3CO5
Build a connected device with a live cloud dashboard
K3Modules tap a module for its theory & lab
Hours shown are the recommended 5-day format — module time scales to the duration you pick.
01IoT foundations5 h
Theory
Architecture, sensors, actuators, the edge-to-cloud path
Lab
Map an IoT architecture
Output
Architecture diagram
02Microcontrollers5 h
Theory
Arduino programming, digital and analog input/output
Lab
Program an Arduino to read and act
Output
Arduino sketch
03Single-board computers5 h
Theory
Raspberry Pi, GPIO, Python control
Lab
Control hardware from a Raspberry Pi
Output
Pi control script
04Sensors and actuators5 h
Theory
Reading sensors, driving actuators, calibration
Lab
Wire and calibrate sensors and actuators
Output
Working sensor rig
05Connectivity5 h
Theory
Wi-Fi, MQTT, publish and subscribe
Lab
Publish telemetry over MQTT
Output
MQTT telemetry stream
06Cloud integration5 h
Theory
Sending telemetry to a cloud service
Lab
Send device data to the cloud
Output
Cloud-connected device
07Dashboards5 h
Theory
Visualising device data
Lab
Build a live dashboard
Output
Device dashboard
08Device capstone5 h
Theory
A connected device with a live cloud dashboard
Lab
Assemble the capstone device
Output
Connected device + dashboard
Every participant receives
Certificate of completion Course material LMS access Interview question bank Mock interview & viva practice Optional nasscom NSQF assessment