Internet of Things (IoT) Fundamentals Practical Training | Udemy

Master the foundation of the Internet of Things (IoT) with this beginner-friendly, hands-on course. Designed as the first part of a complete IoT development series, this course introduces you to the essential building blocks of modern connected systems—from sensors and microcontrollers to Wi-Fi connectivity and MQTT communication.

Through practical projects and guided labs, you’ll gain the technical confidence to build your own smart devices, connect them to the cloud, and understand how real-world IoT ecosystems operate.

What You’ll Learn

• The core architecture and components of IoT systems — sensors, actuators, microcontrollers, and cloud connectivity.
• How to set up your IoT development environment using Arduino IDE and ESP32/ESP8266 boards.
• Fundamentals of embedded programming with Arduino C++ and MicroPython.
• Implementing Wi-Fi communication and MQTT protocols to send real-time data to servers.
• Designing and testing simple IoT projects like Smart Light Control and Sensor-based Automation.
• The difference between HTTP and MQTT, and how IoT devices communicate securely and efficiently.
• How to debug, monitor, and visualise IoT data through serial communication and MQTT dashboards.

Course Modules Overview

• Module 1: Introduction to IoT & Ecosystem
  Understand IoT’s impact, layered architecture, benefits, and key components. Build your first conceptual IoT project.
• Module 2: IoT Device Fundamentals
  Learn how sensors, actuators, and microcontrollers work together. Wire and program your first basic circuit.
• Module 3: Basic IoT Programming
  Write Arduino and MicroPython code to read data from sensors and control actuators using logic and loops.
• Module 4: IoT Connectivity (Wi-Fi, Bluetooth, MQTT)
  Connect your device to the Internet, publish data using MQTT, and explore real-world IoT communication methods.

By the end of this course, you’ll have hands-on IoT experience, a deep understanding of how connected systems operate, and the confidence to move on to advanced IoT development—including cloud integration, data ingestion, and edge computing in upcoming parts of this series.