Udemy – IoT Full Project Course

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  • Udemy – IoT Full Project Course

    Free Download Udemy – IoT Full Project Course


    Published: 12/2024
    Created by: PhD. Angel Cubero
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
    Level: Intermediate | Genre: eLearning | Language: English | Duration: 54 Lectures ( 14h 29m ) | Size: 9.3 GB

Udemy – IoT Full Project Course

Free Download Udemy – IoT Full Project Course


Published: 12/2024
Created by: PhD. Angel Cubero
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 54 Lectures ( 14h 29m ) | Size: 9.3 GB


Create a full IoT system, from the device (ESP32, ESP-IDF, C++), to the backend, and the client interface (Python).

What you'll learn


Develop a full IoT project: Embedded device + Backend + Client interface
Solidify their C++ knowledge by applying it with FreeRTOS & ESP-IDF
Understand many core concepts of a Real Time Operating System
Understand how to handle network connectivity from a ESP32
Develop a simple backend with Python & Flask for storing / receiving data
Develop a simple client interface with Python & Kivy for displaying the data

Requirements


Basic programming experience with C / C++
Basic programming experience with Python

Description


In this hands-on course, you'll deepen your knowledge of C, C++, and Python while learning how to build a complete IoT system from the ground up.By the end of this course, you'll have created a fully functional IoT plant moisture tracker, capable of monitoring your plants' health, sending real-time data to your backend, and displaying the information on your client interface.What You'll LearnThe course is divided into three key parts:Part 1:We'll start by using C and C++ with the ESP-IDF framework to program the ESP-32 microcontroller. You'll learn how to write efficient code to measure soil moisture and transmit the data wirelessly (WiFi).Part 2:Next, we'll build the backend using Python and Flask. This server will process and store incoming data from the IoT device, acting as the backbone of the system.Part 3:Finally, we'll design an intuitive client interface using Python and Kivy, where you can view moisture readings retrieved from the backend in real time.Who Should Take This Course?This course is designed for individuals with a basic understanding of C, C++, and Python, who are eager to:Advance their programming skills to an intermediate level.Learn core concepts of IoT development through hands-on projects.Explore frameworks like ESP-IDF, Flask, and Kivy while working with microcontrollers and backend systems.To complete this course, you will need to purchase the following materials using your own means (you can get a PDF file from the Lecture 2 => Resources with example purchase links, you are not required to buy the course in order to download this file), the total cost of the kit should be around 30 EUR / USD.1. ESP32 DEVKIT-V1 BOARD2. USB-A to Micro-USB cable3. Capacitive Soil Moisture Sensor V1.24. Male to Female Jumper cables

Who this course is for


This course is intended for individuals with at least a basic understanding of C, C++, and Python.
If you're looking to advance your technical skills to an intermediate level in these languages while learning key concepts of the Internet of Things, this course is for you.
Homepage:
https://www.udemy.com/course/iot-full-project-course/









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