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라즈베리파이기반 MQTT네트워크를 통한 원격모니터링 시스템구현

Raspberry Pi, MQTT, and InfluxDB: Learn to install and use these tools on Ubuntu. Publish & subscribe with ESP32 and monitor remotely with Grafana. IoT skills!

1students
20h 15m
Certificate
한국IT비즈니스진흥협회 IPA
한국IT비즈니스진흥협회 IPAAI산업에 특화된 대한민국 IT비즈니스산업 대표협회

Course Content

라즈베리파이기반 MQTT네트워크를 통한 원격모니터링 시스템구현 is an all-levels Udemy course taught by 한국IT비즈니스진흥협회 IPA. It runs 20h 15m, is taught in Korean, and includes a certificate of completion. 1 student has enrolled. It is a paid course, first published October 2025.

  • Establish a Remote Monitoring System with Raspberry Pi & MQTT: Learn to build a robust remote monitoring system leveraging the power of Raspberry Pi and the MQTT protocol. This course covers the entire process, from setup to deployment.

  • Linux Fundamentals & Ubuntu Setup: Gain proficiency in Linux basics, including essential command-line skills. You'll learn to install and utilize text editors within an Ubuntu virtual machine, providing a solid foundation for development.

  • MQTT Broker & Python Programming: Master the installation of an MQTT Broker on Ubuntu and develop both Publisher and Subscriber applications using Python. Hands-on examples will guide you through practical implementation.

  • Arduino Integration for Data Acquisition: Set up an Arduino development environment and learn how to transform sensor data into messages suitable for publishing over the MQTT network.

  • ESP32 Development & MQTT Communication: Understand the architecture of ESP32 boards and configure them to function as both MQTT Publishers and Subscribers, enabling seamless data transmission.

  • Google Colab for Python Execution: Learn to create and configure Python execution environments using Google Colab, simplifying development and testing.

  • Data Storage with InfluxDB: Install and utilize InfluxDB on Ubuntu to store the data collected via MQTT. Explore how to effectively manage and query time-series data.

  • Remote Monitoring with Grafana: Visualize your data in real-time using Grafana, creating informative dashboards for remote monitoring and analysis.

  • Raspberry Pi Development Environment: Build a dedicated development environment for your Raspberry Pi. Learn how to effectively utilize and configure MQTT on the Raspberry Pi.

  • Raspberry Pi InfluxDB Implementation: Install and configure InfluxDB on your Raspberry Pi for local data storage and analysis.

  • Raspberry Pi Grafana Integration: Deploy and utilize Grafana on your Raspberry Pi to create local dashboards and monitor your system directly from the device.

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