IoT, Cloud & Remote Monitoring

IoT with Raspberry Pi

Learn to build IoT projects using Raspberry Pi, connect sensors and actuators, and integrate with cloud platforms. Master remote monitoring, MQTT, and mobile network connectivity for smart solutions.

  • Raspberry Pi Setup & Programming
  • Sensor & Actuator Integration
  • IoT Connectivity & MQTT Protocol
  • Cloud Integration & Data Visualization
  • Capstone IoT Project

Stack

Explore Course Content

$ parichaya learn iot-raspberry-pi

  1. Introduction & Raspberry Pi Setup2hr
  2. Sensors & Actuators3hr
  3. IoT Connectivity2hr 30min
  4. Cloud Integration & Visualization3hr
  5. IoT Projects & Troubleshooting2hr 30min
  6. Capstone Project4hr

6 modules · 19 lessons · 17h

Level
Intermediate
Duration
3 + 1 Months
Modules
6
Lessons
19
Fee
29,999

17 hours of content

01 — Overview

Course Overview

This course teaches IoT using Raspberry Pi, enabling learners to build smart solutions using sensors, actuators, and cloud integration. Gain practical experience in real-world IoT applications.

Learn how to use Python to program Raspberry Pi, send and receive data via MQTT, and visualize project data on cloud dashboards for remote monitoring.

Key Learning Modules

  • Raspberry Pi BasicsHardware setup & OS installation
  • Python ProgrammingCoding for IoT projects
  • Sensors & ActuatorsCollect data & perform actions
  • IoT ConnectivityMQTT & mobile network integration
  • Cloud IntegrationData storage & dashboard visualization
  • Capstone ProjectDeploy portfolio-ready IoT project

02 — Syllabus

Course Content

6 modules

    • Raspberry Pi Hardware Overview40min
    • OS Installation & Configuration40min
    • Python Setup & IDE Usage40min

03 — Outcomes

Course Outcomes

By the end of this course, learners will be able to build and deploy IoT solutions using Raspberry Pi, connect devices to cloud platforms, and remotely monitor projects using mobile networks.

  • Design IoT solutions with Raspberry Pi and Python
  • Integrate sensors, actuators, and MQTT protocol
  • Connect devices to cloud platforms for data storage
  • Visualize IoT data using dashboards and analytics tools

04 — Requirements

Requirements

  • Basic knowledge of Python and electronics
  • Laptop/Desktop with internet access
  • Raspberry Pi kit with sensors & actuators
  • Cloud account for IoT integration

05 — Where it leads

Where This Course Can Take You

Graduates from this course have pursued careers in IoT development, embedded systems, and automation solutions:

  • IoT DeveloperDesign and implement IoT systems with cloud connectivity.₹5–10 LPA
  • Embedded Systems EngineerWork on Raspberry Pi based projects and automation.₹6–12 LPA
  • Automation EngineerDevelop smart home and industrial automation solutions.₹7–14 LPA
29,999