Node-RED: IoT projects with ESP32, MQTT and Docker from Udemy

For Makers and DIY enthusiasts who want to take their Internet of Things (IoT) projects into their own hands.

Welcome to my online course on Node- Designed specifically for Makers and DIY enthusiasts, this course gives you the opportunity to take your projects to the next level by combining Node-

Node-RED is a visual programming environment that allows projects to be created easily and intuitively without the need for in-depth programming knowledge. MQTT is a lightweight protocol for data transmission in IoT networks, with which end devices can be connected quickly and easily. The great advantage of MQTT is that transmission is possible in near real time. The ESP32 is a powerful microcontroller that is ideal for IoT projects thanks to its integrated WiFi and Bluetooth support.

In this course you will learn how to use Node-RED to control and regulate your ESP32-based projects and exchange data via MQTT. You will learn how to build your own IoT network, collect data from sensors and visualise it in real time with actual programs like InfluxDB or Grafana. You will also learn how to monitor and control your projects via the internet and retrieve data from anywhere in the world.

This course is ideal for Makers and DIY enthusiasts who want to take control of their projects and deepen their knowledge of the Internet of Things with MQTT and Node-RED. The combination of Node-

What you learn:

Node-RED Installation and Setup
Mosquitto MQTT Broker, Grafana and InfluxDB as well as MariaDB with Adminer
All microservices are also shown with the Docker variant.
Implementation of ESP32 projects with PlatformIO
Combination of
Markus Edenhauser, MA MSc

What's inside

Learning objectives

Node-red installation and setup
Mosquitto mqtt broker, grafana and influxdb as well as mariadb with adminer
All microservices are also shown with the docker variant.
Implementation of esp32 projects with platformio

Combination of esp32, mqtt and node-red
Creating and programming your own function nodes with javascript
State of the art esp32 programming with c++
After this course you will be able to implement your own iot projects

Node-red installation and setup
Mosquitto mqtt broker, grafana and influxdb as well as mariadb with adminer
All microservices are also shown with the docker variant.
Implementation of esp32 projects with platformio
Combination of esp32, mqtt and node-red
Creating and programming your own function nodes with javascript
State of the art esp32 programming with c++
After this course you will be able to implement your own iot projects

Syllabus

Introduction

Promo

About me

Prerequisites

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Combines Node-RED, MQTT, and ESP32, which are popular tools for rapid prototyping and building connected devices, making it ideal for makers

Uses Docker for microservices, which simplifies deployment and management of IoT applications, and is a valuable skill for makers looking to scale their projects

Employs PlatformIO for ESP32 project implementation, which streamlines the development process and offers a robust environment for coding and debugging embedded systems

Teaches InfluxDB and Grafana for data visualization, which are industry-standard tools for monitoring and analyzing sensor data in real-time, enhancing project insights

Requires a vServer, which may introduce additional costs and technical setup for some users, potentially creating a barrier to entry for beginners

Focuses on specific software versions, and while this provides a concrete learning experience, newer versions may introduce compatibility issues or require adaptation of the learned techniques

Reviews summary

Practical iot integration with node-red

According to learners, this course provides a solid foundation for integrating various IoT components, specifically focusing on Node-RED, MQTT, and ESP32. Many appreciate the practical, hands-on projects that help solidify understanding. The inclusion of modern tools like Docker, InfluxDB, and Grafana is seen as a significant plus, offering a modern and efficient setup approach. However, some reviewers note that the Docker setup can be challenging and require external research or debugging. The course may be less suitable for complete beginners, potentially requiring some prior technical comfort or willingness for self-directed problem-solving. Overall, it is highly recommended for those seeking to build their own IoT systems by combining these technologies.

Offers valuable hands-on learning experience.

"Projects were well-explained and hands-on. Highly recommended for anyone looking to get started with IoT."

"The projects are practical and reinforce the concepts well. Appreciated the inclusion of InfluxDB and Grafana."

"Loved this course! ...The projects are engaging and really helped solidify my understanding."

"Excellent practical course. Covers a lot of ground from hardware (ESP32) to software (Node-RED) and data visualization (Grafana)."

Covers essential IoT components effectively.

"Excellent course! Covered Node-RED, MQTT, and ESP32 in depth with great practical examples using Docker."

"Fantastic resource for learning IoT integration. Node-RED flows were explained clearly. MQTT section was robust."

"Good overview of integrating various IoT components. The Node-RED parts are strong. The ESP32 projects are interesting."

"It brought together all the pieces (ESP32, MQTT, Node-RED, Docker) beautifully."

Could improve on clarity and troubleshooting.

"Some parts felt a bit rushed, especially integrating everything. Could use more troubleshooting tips for common issues."

"Documentation could be better, especially for the hardware setups and code examples."

May not be suitable for complete beginners.

"Projects are okay, but perhaps too complex for a complete beginner."

"Overall a valuable course if you're comfortable with some self-directed problem solving."

"Needed to do a lot of external research to get things working."

Setup can be difficult and requires troubleshooting.

"However, some sections were a bit confusing, and I struggled with the Docker setup despite the instructor's efforts."

"The course promises IoT projects but fails to deliver clear, step-by-step instructions that work reliably. Docker setup was a nightmare..."

"Needed to do a lot of external research to get things working."

"Felt like I was debugging the instructor's code more than learning. Very frustrating experience."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Node-RED: IoT projects with ESP32, MQTT and Docker with these activities:

Review Basic Electronics Concepts

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Reinforce your understanding of basic electronics concepts like voltage, current, and resistance. This will help you better understand how the ESP32 and other IoT devices function.

Browse courses on ESP32

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Review online resources on basic electronics.
Solve practice problems related to circuits and components.

Review 'Practical Node-RED Programming'

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Deepen your understanding of Node-RED concepts and best practices. This book provides practical examples and real-world scenarios to enhance your learning.

View Putting Knowledge to Work on Amazon

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Read the chapters relevant to the course topics.
Experiment with the code examples provided in the book.

MQTT Command-Line Exercises

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Master MQTT fundamentals by practicing command-line interactions. This will improve your ability to debug and troubleshoot MQTT-based IoT systems.

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Use the mosquitto_pub and mosquitto_sub commands to publish and subscribe to MQTT topics.
Experiment with different QoS levels and retained messages.
Simulate various IoT scenarios using the command line.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Build a Simple Home Automation System

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Apply your knowledge of Node-RED, ESP32, and MQTT to create a practical IoT project. This will solidify your understanding of the concepts and provide hands-on experience.

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Design a system to control lights or appliances using MQTT and Node-RED.
Program the ESP32 to communicate with the MQTT broker.
Create a Node-RED flow to control the devices based on MQTT messages.

Document Your IoT Projects

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Improve your understanding and retention by documenting your IoT projects. Explaining your code and design choices will help you identify areas where you need more clarity.

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Write a blog post or create a video tutorial about one of your IoT projects.
Explain the project's purpose, design, and implementation.
Share your content with the online community.

Review 'Building Smart Homes with Raspberry Pi Zero'

Show steps

Explore smart home applications and integration techniques. This book provides valuable context and ideas for your IoT projects.

View Putting Knowledge to Work on Amazon

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Read the chapters related to smart home applications.
Identify concepts and techniques that can be applied to ESP32 projects.

Contribute to a Node-RED or ESP32 Library

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Deepen your understanding of Node-RED and ESP32 by contributing to open-source projects. This will expose you to real-world code and collaboration practices.

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Find a Node-RED or ESP32 library on GitHub.
Identify a bug or feature request.
Submit a pull request with your changes.

Career center

Learners who complete Node-RED: IoT projects with ESP32, MQTT and Docker will develop knowledge and skills that may be useful to these careers:

Hobbyist Project Developer

A Hobbyist Project Developer pursues projects for personal enjoyment and learning, often involving various technologies and tools. This role is defined by one's own interest, and the projects are often related to the technologies that the hobbyist wishes to learn and become better at. This course, designed for Makers and DIY enthusiasts, provides an excellent foundation for hobbyists looking to delve into IoT. The course covers essential topics like Node-RED, MQTT, and ESP32, helping one build interactive devices and data driven systems. The combination of theory and hands-on experience enables Hobbyist Project Developers to take control of their projects and expand their capabilities.

See salaries and explore the career path for Hobbyist Project Developer

Internet of Things Developer

An Internet of Things Developer designs, develops, and implements IoT solutions. This role requires a deep understanding of how to connect devices, manage data flow, and create interactive systems. This course, with its focus on Node-RED, MQTT, and ESP32, provides a hands-on approach to building such systems. Learning to use Node-RED for visual programming and data flow management and using MQTT for efficient data transmission, helps build a foundation for working with IoT projects. The course's inclusion of microcontrollers like the ESP32 and working with Docker for deploying solutions further enhance one's practical skills. This makes one better prepared to tackle the responsibilities of an Internet of Things Developer.

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Embedded Systems Engineer

An Embedded Systems Engineer works with the hardware and software that makes up embedded systems, often used in IoT devices. This role involves programming microcontrollers, designing circuits, and ensuring hardware and software work together seamlessly. This course helps build a good understanding of working with ESP32 microcontrollers and their integration into IoT systems. The course's coverage of using Node-RED for system control, MQTT for data transmission, and Docker for deployment is very helpful for future embedded systems engineers. Practical skills are gained through project implementations, such as the weather station example, that are highly relevant to the work of an Embedded Systems Engineer.

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Prototyping Specialist

A Prototyping Specialist creates functional models of new products or systems, typically in the design and development phase. This role requires skills in rapid design, iteration, and testing of new concepts. This course is very helpful in creating functional prototypes. By learning to use Node-RED for visual programming, MQTT for data transmission, and ESP32 for prototyping hardware, one can quickly build functional systems. The course materials related to data collection, visualization, and control are useful in the development of prototypes, making this class ideal for any Prototyping Specialist.

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Automation Engineer

An Automation Engineer develops and maintains automated systems, often using programmable logic controllers and other technologies. This role requires an understanding of how hardware and software interact to perform tasks automatically. This course helps one understand the connectivity of different data points and visual programming using Node-RED, and how these points can be automated. The course's coverage of MQTT, ESP32, and data visualization tools is beneficial. The hands-on approach to implementing complete systems, including the ability to monitor and control projects via the internet, is key for any Automation Engineer.

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Microcontroller Programmer

A Microcontroller Programmer writes code for microcontrollers, which are small computer systems found in many devices. This role requires a good understanding of hardware and low-level programming. This course helps with microcontroller programming. The class offers practical instruction on the implementation of ESP32 projects with PlatformIO, along with advanced programming with C++. Learning how to combine the ESP32 with MQTT and Node RED helps a Microcontroller Programmer better understand how they interact in a complete system. The skills and knowledge one gains in this course are a strong foundation for this career.

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Data Visualization Specialist

A Data Visualization Specialist creates visual representations of data to help stakeholders make decisions. This role requires skills in data analysis, data transformation, and the use of visualization tools. This course helps build a foundation for this role. The course covers collecting data from sensors, using InfluxDB and Grafana, and visualizing collected data in real time. By learning how to use Node-RED, one can transform and process data before visualizing it. Practical experience in data collection and visualization gained through this course makes it easier to become a Data Visualization Specialist.

See salaries and explore the career path for Data Visualization Specialist

Smart Home Systems Integrator

A Smart Home Systems Integrator designs and implements smart home solutions for residential clients. This role requires that one knows how to integrate different systems, such as lighting, security, and heating, into a unified platform. This course may help one build the skills needed for this role. The skills gained in connecting devices using MQTT, controlling them via Node-RED, and collecting data from sensors are all helpful in smart home integration. The course's practical approach, with experience in monitoring and controlling projects, better prepares one to integrate smart home devices and systems.

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Remote Monitoring Technician

A Remote Monitoring Technician oversees and maintains remote systems, often using internet-connected devices. This role requires that one troubleshoot problems and ensure that systems work efficiently. This course may be useful for this kind of role. The course teaches how to monitor and control projects using Node-RED, collect data from sensors, and transmit this data using MQTT. These are the skills that are needed to monitor and diagnose faults in a remote system. The practical knowledge one gains from this course makes one better equipped for a role as a Remote Monitoring Technician.

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IoT Solutions Architect

An IoT Solutions Architect designs the overall architecture of IoT systems. This role requires a deep understanding of the various components that make up an IoT solution, and how they fit together. This course may provide an introduction to many of the tools used by an IoT architect. The course content covers the implementation of ESP32 projects, and how these projects communicate data with MQTT and control systems using Node-RED. Using Docker for microservices and data visualization with Grafana provides a well-rounded overview of necessary tools. This course provides a hands-on approach to IoT systems, which benefits those who seek to understand the broader picture.

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Research and Development Engineer

A Research and Development Engineer investigates new technologies and develops advanced solutions, typically in a research setting. This role requires innovative thinking, technical expertise, and a capacity to experiment and evaluate new ideas. This course may be relevant to this role's demands, as it provides practical experience with IoT technologies, including Node-RED, MQTT, and ESP32 microcontrollers. The course involves building and testing functional systems, a very pertinent skill for a Research and Development Engineer. This hands-on experience, combined with the ability to manage data and integrate diverse components, is useful for a career in research and development.

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Makerspace Technician

A Makerspace Technician supports users of a makerspace, a collaborative workspace where individuals make projects using tools and resources. This role involves training individuals, maintaining equipment, and advising users on how to build their projects. The variety of tools and technologies covered in this course will help a technician be more knowledgeable. This course teaches a hands-on approach to building IoT projects with Node-RED, MQTT, and ESP32, making the individual better equipped to aid the members of a makerspace. The breadth of topics, from microcontrollers to data visualization, further increases the technician's ability to assist various projects.

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Data Analyst

A Data Analyst examines and interprets data to find patterns and insights. This role requires a good understanding of data analytics tools and statistical methods. This course may be a helpful introduction to the tools and processes used by a Data Analyst. The course includes collecting data from sensors and visualizing it using InfluxDB and Grafana. By learning how to transform data with Node-RED, individuals may be better equipped to handle real-world data. The experience and knowledge one gains here may help a Data Analyst broaden their skill set and become more knowledgeable about a subset of data sources.

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Network Engineer

A Network Engineer designs, implements, and manages computer networks. This role requires knowledge of network protocols, hardware, and software. This course may provide some exposure to network and infrastructure principles. The course helps one understand MQTT, which is a lightweight protocol for data transmission in IoT networks. The course also goes into the management of Docker containers, which are used to handle microservices. This exposure to network protocols and the deployment of network services helps build a foundation that is useful to a Network Engineer.

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Software Quality Assurance Engineer

A Software Quality Assurance Engineer is responsible for testing software and systems to ensure they are bug-free and meet requirements. This role requires a keen eye for detail and a knack for finding faults and errors. Understanding how IoT systems are constructed through hands-on projects may be useful for a Software Quality Assurance Engineer. The course teaches the implementation of ESP32 projects, integration with MQTT and Node-RED, and data visualization using Grafana. This may not be directly related to software, but gaining familiarity with how these systems are assembled may help in testing them from a systems perspective.

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Node-RED

IoT projects with ESP32, MQTT and Docker

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Practical iot integration with node-red

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