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ESP32 and Internet of Things For Absolute Beginners is a course on IoT basics using the ESP32 microcontroller published by Udemy Online Academy. The course covers fundamental concepts such as setting up the ESP32, connecting sensors and actuators, and programming with the Arduino IDE and MicroPython. Students learn how to collect, process, and transmit data using Wi-Fi and Bluetooth, enabling communication between IoT devices and cloud platforms. Hands-on projects help reinforce knowledge by building real-world applications such as remote monitoring and automation.

Key Points: This course introduces the basics of ESP32 and IoT, covering setup, sensor integration, and programming with Arduino IDE and MicroPython. It teaches data collection, transmission over Wi-Fi and Bluetooth, and cloud communications. This course is recommended for IoT professionals, hobbyists, and freelancers working on IoT project development, and newcomers to the electronics domain who want to explore IoT with ESP32. By the end, learners will have a solid foundation in IoT development with ESP32.

What you will learn in the ESP32 and Internet of Things For Absolute Beginners course:

  • ESP32 SoC and Development Board
  • C coding for ESP32
  • Why ESP32 is preferred for IoT
  • GPIO and sensor interface with ESP32
  • IoT Protocols with ESP32: HTTP and MQTT
  • Using cloud platforms for IoT projects
  • Full automation project
  • And …

Course details

Publisher: Udemy
Instructor: Amit Rana
Language: English
Level of instruction: Beginner
Number of lessons: 32
Duration of instruction: 5 hours and 11 minutes

Course syllabus as of 10/2024

ESP32 and Internet of Things For Absolute Beginners Content

Prerequisites for the ESP32 and Internet of Things For Absolute Beginners course

Basic Understanding of Arduino is recommended but not compulsory
Basic Understanding of Electronics Components

Course images

ESP32 and Internet of Things For Absolute Beginners

Course introduction video

Video display

Link Download
PART 1 (1GB) – PART 2 (1GB) – PART 3 (796MB)

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