IoT and Embedded Systems Test
IoT
Course Content
IoT and Embedded Systems Test is a beginner-level Udemy course taught by Salim Khan. It is taught in English and includes a certificate of completion. Learners rate it 4.7 out of 5 from 4 reviews, with 164 students enrolled. It is a paid course, last updated September 2025.
Explore the exciting world of Internet of Things (IoT) and Embedded Systems with this comprehensive course! Gain a solid foundation in the core concepts and practical applications driving the next generation of connected devices. Learn how to seamlessly integrate hardware and software to build intelligent devices that respond to the world around them.
What you'll learn:
- Embedded Systems Design: Delve into the fundamental principles of designing and building embedded systems.
- IoT Architecture: Understand the architecture that powers the Internet of Things, from devices to cloud platforms.
- Hardware & Software Integration: Master the crucial skills of combining hardware components with software to create functional IoT solutions.
- Sensors & Transducers: Grasp the basics of sensors and transducers and their role in data acquisition.
- IoT Boards: Become familiar with popular IoT boards like ESP8266 and Arduino.
- IoT Device Programming: Apply basic operations and programming techniques to control and interact with IoT devices.
- Smart Technology Applications: Apply your knowledge through practical case studies showcasing real-world IoT implementations.
Hands-on Experiments (Examples):
- ESP8266 & Arduino Boards: Understand the architecture and pin configuration of popular development boards.
- IoT Sensors: Get a hands-on introduction to commonly used real-world IoT sensors.
- Digital Signal Acquisition: Analyze digital signal data using Arduino and ESP8266.
- Digital Signal Generation: Explore digital signal generation with Arduino and ESP8266.
- Analog Signal Acquisition: Analyze analog signal data using Arduino.
- Analog Signal Generation: Explore analog signal generation using Arduino.
- Real-Time Data Logging: Implement real-time data logging using ESP8266 and Arduino.
- Lighting Control: Design a lighting control system using an LDR (Light Dependent Resistor).
- Multi-Sensor Alert System: Design a multi-sensor alert system using touch, IR, PIR, and Arduino.
- Object Detection: Implement object detection using ultrasonic sensors with Arduino and ESP8266.
Go Beyond the Syllabus:
- ThingSpeak Integration: Implement real-time data logging using ThingSpeak with Arduino.
- Blynk Applications: Build IoT applications with Blynk for monitoring temperature and humidity using a DHT11 sensor.
- Smart Home Automation: Build IoT applications with Blynk for smart home automation using ESP8266.
- Soil Health Monitoring: Design a soil health monitoring system using an NPK sensor.
- Water Quality Monitoring: Design a water quality monitoring system.
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