Internet of Things (IoT) (Self-Paced Professional Training)

The Internet of Things (IoT) Course – Beginner to Intermediate is a practical, project-oriented learning program designed for students, electronics enthusiasts, and professionals who want to build real-world connected systems.

This course starts with IoT fundamentals, helping learners understand how physical devices, sensors, actuators, and cloud platforms work together to create intelligent systems. You will explore IoT architecture, components, tools, and best practices, gaining clarity on how IoT solutions are designed and deployed.

As the course progresses, you will work hands-on with Arduino and ESP32, learning how to interface sensors, control outputs, and implement logic using C++-based programming. You will build multiple hardware projects including traffic light systems, temperature-controlled LEDs, DC motor controllers, seven-segment displays, soil moisture monitoring, and force sensor applications.

The advanced modules introduce IoT cloud integration, where you connect devices to platforms such as ThingSpeak and Blynk, enabling real-time data visualization, dashboards, and remote monitoring.

By the end of this course, learners will have a strong practical foundation in IoT hardware, embedded programming, and cloud connectivity, preparing them for IoT developer roles, embedded systems careers, smart automation projects, or advanced IoT certifications.

What You Will Learn (Chapter Highlights)

IoT Foundations

• IoT concepts, architecture, and components

• Real-world IoT applications and use cases

• Tools, platforms, and development best practices

Hardware Prototyping & Programming

• Breadboards, resistors, and circuit building

• Tinkercad simulation and testing

• Programming fundamentals for IoT

• Practical C++ coding for embedded systems

Arduino-Based IoT Projects

• Pin configurations and signal types

• LCD interfacing and display control

• Traffic light simulation and automation

• Sensor-based LED and motor control

• Seven-segment display programming

Advanced Sensor & Automation Projects

• LDR-based motor speed control

• Force sensor and soil moisture monitoring

• Conditional logic for automation systems

Cloud-Connected IoT Systems

• IoT data acquisition and conversion

• Cloud dashboards and alerts

• Wi-Fi connectivity and API-based logging

• Real-time monitoring with ESP32

Learning Outcomes

After completing this course, you will be able to:

• Understand IoT architecture and system design

• Build and test electronic circuits for IoT

• Program Arduino and ESP32 boards confidently

• Integrate sensors and actuators into IoT projects

• Implement automation using conditional logic

• Connect IoT devices to cloud platforms

• Visualize and monitor real-time IoT data

• Develop industry-ready IoT mini-projects