Practical NodeMCU-ESP32 IoT Course with Applications (Udemy.com)
Sensor Interfacing to NodeMCU, HTTP, MQTT, IoT Server- ThingSpeak, AWS and Node Red on Windows and AWS..
Created by: ThinkIoT Solution
Last updated July 2021
What you will learn
- NodeMCU- ESP8266 - Sensor Interfacing and uploading data to IoT Servers
- Controlling devices connected to Node MCU from IoT servers and android APP
- Build apps on Node Red and upload data to it and control devices connected to NodeMCU
- Using IoT Protocols like HTTP and MQTT and Implementing on Node MCU
- Hardware Connections of all Sensor Modules explained with Coding in Arduino IDE
How it compares
Against the other 295 rated Udemy courses in Arduino on CourseDuck:
- Rating4.4 out of 5higher than 50% of them
- Reviews43#258 of 296 by number of reviews
- Length10.3 hourslonger than 79% of them
- Last updatedJuly 2021earlier than 72% of them
Course Description
Course Highlights - Node MCU Basics and Installation on Arduino IDE, Digital and Analog Sensor Interfacing to Node MCU, Sensor data upload to Thingspeak Server, MQTT Protocol and Sensor Data upload to MQTT Broker, Node Red and creating Apps on Node Red and Data upload from Node MCU to the apps.
This Course can be understood by anyone without any prior knowledge on Node MCU or Embedded systems or IoT. Everything is explained from the basics including the hardware interfacing and the software coding.
This course starts with the basics of Node MCU, Installing Arduino IDE and libraries required for Node MCU. The Digital and Analog sensors are Interfaced to Node MCU and the working of the sensors and the required code for that is explained. Sensors like DHT and Ultrasonic sensors are also Interfaced to NodeMCU. The sensor data is uploaded onto the Thingspeak Server using HTTP GET and POST requests. MQTT Protocol is explained in detail with practical use cases and Implemented on Node MCU. Installation of PubSubClient library is shown on the Arduino IDE and then used to upload the sensor data to the MQTT Broker. Node red is taken up as the next topic and the course is ended with uploading data from NodeMCU to Node Red.
End to end Applications are shown with hardware interfacing on Node MCU and coding on Arduino IDE. Applications related to data upload from DHT sensors andUltrasonic sensors are shown and Home automation application which controls the appliances connected to the relay is also shown in three different types. Controlling devices from the MQTT Box application, from Android App and from Node Red app is also shown.
Instructor Details
- 4.4 Rating
43 Reviews
ThinkIoT Solution
I have a professional teaching experience of around 10 years in the field of Embedded Systems and in Internet of Things. I take up sessions and workshops using various IoT devices like Arduino, Node MCU, Raspberry Pi and integrate them with the Cloud Servers. I have conducted workshops and seminars in various colleges and also have taken up online sessions for working professionals. I have worked extensively on Amazon AWS for creating end to end applications in IoT.
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Reviews
By Pranav Dubey on 7/16/2024
NICE EXPLANATION
By Tetyana Petrenko on 9/3/2023
The lectures of the course consistently and using available examples form the listener's understanding of the work of a fragment of the IoT system. Despite my prior knowledge of the subject of the course, I found something new in this course. For me, the interaction opportunities of Node-RED with programs AWS EC2 and MQTTBox was the most useful. I recommend this course for study. Thank ThinkIoT Solution for the useful video course. I will try to find time to study other courses of ThinkIoT Solution. Sincerely, Tetyana
By Paul Odoi on 7/25/2023
Everything is well explained.
By Agfianto Eko Putra on 10/4/2022
No handouts or slides..
By Nizar abessi on 4/20/2022
il y a pas des assais de resources
By Ivan Palomera on 1/9/2022
The only thing that is missing is the CC feature in order to understand better slides
By Tossawat Kijsirichareonchai on 12/27/2021
I love about the information that he given but it's quite hard to listen so it's better if It's have subtitle
By Henk van der Bijl on 6/9/2021
I learned what I expected. Audio is sometimes difficult to hear... either not clear audio or problematic due to accent of teacher. Why not have full screens in lectures with slideshows slides ..
Quality Score
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Overall Score : 88 / 100






