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ESP32 MicroPython MQTT Weather Logger (コース)

Build an IoT weather station using ESP32, MicroPython, and MQTT: logging, analyzing, and sharing real-time weather data.

すべてのレベル • 6 講義 • 生涯アクセス
Educational Engineering Team

認定マスターインストラクター

ESP32 MicroPython MQTT Weather Logger
トレーラー
インストラクターに会う: Educational Engineering Team

19 ms

5.0 / 5.0
グローバル評価
1時間 8分
総コンテンツ

何を学ぶか

Set up and configure the ESP32 microcontroller for data logging and IoT applications.
Write and execute MicroPython code to interface with environmental sensors.
Establish MQTT protocols for real-time data transmission in IoT networks.
Develop a functional weather logger to collect and log weather data for analysis and sharing.

コース内容

2 セクション • 6 講義 • 01:08:44 全長

Introduction to the lot Weather Station

04:29

Setting Up the Wokwi Simulator and Sensor Interfacing

09:43

Connecting to WiFi using MicroPython

無料プレビュー
07:40

Sending Data to an MQTT Broker

13:08

Expanding the Project and Next Steps

03:13

Bonus Lecture

30:29
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要件

Basic knowledge of Python programming for working with MicroPython.

Familiarity with basic electronics concepts, including resistors and simple sensor connections.

ESP32 microcontroller and weather sensors (such as temperature and humidity) for hands-on practice.

A computer with USB connectivity to code and upload scripts to the ESP32.

対象者

IoT enthusiasts and hobbyists looking to learn practical skills for connected devices.

Intermediate Python developers interested in applying their knowledge to hardware and IoT.

Engineers or DIYers with a passion for environmental monitoring and data logging.

Professionals seeking to understand and implement MQTT protocols for real-time IoT applications.

このコースについて

Get hands-on with IoT as you build a complete weather logging system from scratch! This course focuses on integrating the ESP32 microcontroller, MicroPython programming, and MQTT protocols to create a versatile weather logger that gathers, logs, and transmits weather data seamlessly.


Designed for both IoT enthusiasts and intermediate-level developers, this course will walk you through the essential skills to transform a simple ESP32 module into a fully functional weather monitoring system. We’ll cover how to set up sensors, utilize MQTT for data transmission, and leverage MicroPython for efficient data handling. By the end of this course, you’ll be able to create your own connected weather logger, capable of sending data to cloud services or local networks.


In addition to practical projects, we’ll explore troubleshooting techniques, provide guidance on optimizing performance, and explain the best practices for managing MQTT messaging. With over 38 minutes of concise, targeted content, this course is perfect for learners who want to see real results quickly without overwhelming technical jargon.


Key Features:


  • Step-by-step guidance on setting up and coding with the ESP32 and MicroPython
  • Practical lessons on sensor integration and real-time data handling
  • Overview of MQTT basics and advanced usage for IoT communication
  • Customizable weather logger project that can be adapted for other applications


"This course was exactly what I needed to understand the ESP32 and MQTT! The hands-on project was incredibly helpful." - [Alex G.]


"Concise and to the point. This course gave me the confidence to tackle IoT projects on my own!" - [Sarah K.]


Enroll Now to build your IoT weather logger and bring your MicroPython skills to life!


What You Will Learn


  • Set up and configure the ESP32 microcontroller for data logging
  • Write and deploy MicroPython code to interface with sensors
  • Use MQTT protocols for real-time data sharing and logging
  • Build a weather logger capable of tracking and transmitting weather data


Who Is This Course For


  • IoT enthusiasts looking to expand their skills in connected devices
  • Intermediate Python programmers who want to explore MicroPython
  • Engineers or hobbyists interested in environmental monitoring
  • Tech professionals looking to integrate IoT protocols like MQTT into projects


Requirements


  • Basic knowledge of Python programming
  • Familiarity with fundamental electronics (resistors, sensors)
  • Access to an ESP32 microcontroller and basic sensors (temperature, humidity)
  • Computer with USB for coding and uploading scripts to ESP32
キャリア機会と目指せる職種

実践的な実務スキルを身につけ、グローバルに活躍できる職種へのキャリアを拓きます

実践即戦力カリキュラム
目指せる主な職種・ポジション

Full Stack Software Engineer

Backend Systems Developer

Frontend Application Specialist

Automation & Scripting Engineer

想定平均年収
$90,000 – $145,000 / yr
世界的な市場需要

High Global Tech Demand

習得できる実践スキル
Production Code Architecture
RESTful & Modern API Design
State Management & UI Scaling
Debugging & Automated Testing
* グローバルなテクノロジー業界の採用基準および給与調査レポートに基づいた目安です。
講師の紹介
Educational Engineering Team
主な講師
Educational Engineering Team is a Leading Team in Microcontroller Industry, with over 13 Years of Experience in Teaching and Doing Practical Projects.

Educational Engineering Team is a group of skilled engineers dedicated to sharing practical knowledge with learners worldwide. Founded by Ashraf Said Al-Madhoun, the team has worked in programming, microcontrollers, electronics, and engineering education since 2007.

Rather than offering superficial explanations, the team breaks down complex topics into clear, step-by-step lessons supported by practical projects and bite-sized videos. This hands-on approach helps learners understand technical concepts and apply them directly to their studies, careers, and personal projects.

Ashraf is a Mechatronics Engineer, educator, author, electronics and programming enthusiast, and maker. As Chief Educational Engineer, he specializes in explaining challenging concepts in a simple, structured, and accessible way. He has extensive teaching experience and has authored four books about microcontrollers.

Educational Engineering Team has created more than 100 online courses covering circuit design, electronics simulation, PCB fabrication, Arduino, PIC microcontrollers, Raspberry Pi, C, Python, PLC programming, industrial automation, 3D design, ESP boards, embedded systems, and the Internet of Things.

In addition to producing courses, bootcamps, articles, and tutorials, the team supports electronics and programming enthusiasts, STEM students, educators, and aspiring engineers. Its members also provide engineering consultation and guidance for student graduation projects, helping learners develop practical skills and prepare for careers in the technology industry.

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