Practical NodeMCU-ESP32 IoT Course with Appl…

Course Highlights - Node MCU Basics and Installation on Arduino IDE, Digital and Analog Sensor Interfacing to Node MCU, Sensor data upload to Thingspeak Server, MQTT Protocol and Sensor Data upload to MQTT Broker, Node Red and creating Apps on Node Red and Data upload from Node MCU to the apps.

This Course can be understood by anyone without any prior knowledge on Node MCU or Embedded systems or IoT. Everything is explained from the basics including the hardware interfacing and the software coding.

This course starts with the basics of Node MCU, Installing Arduino IDE and libraries required for Node MCU. The Digital and Analog sensors are Interfaced to Node MCU and the working of the sensors and the required code for that is explained. Sensors like DHT and Ultrasonic sensors are also Interfaced to NodeMCU. The sensor data is uploaded onto the Thingspeak Server using MQTT Protocol is explained in detail with practical use cases and Implemented on Node MCU. Installation of PubSubClient library is shown on the Arduino IDE and then used to upload the sensor data to the MQTT Broker. Node red is taken up as the next topic and the course is ended with uploading data from NodeMCU to Node Red.

End to end Applications are shown with hardware interfacing on Node MCU and coding on Arduino IDE. Applications related to data upload from DHT sensors andUltrasonic sensors are shown and Home automation application which controls the appliances connected to the relay is also shown in three different types. Controlling devices from the MQTT Box application, from Android App and from Node Red app is also shown.

What's inside

Learning objectives

Nodemcu- esp8266 - sensor interfacing and uploading data to iot servers
Controlling devices connected to node mcu from iot servers and android app
Build apps on node red and upload data to it and control devices connected to nodemcu

Using iot protocols like http and mqtt and implementing on node mcu
Hardware connections of all sensor modules explained with coding in arduino ide

Nodemcu- esp8266 - sensor interfacing and uploading data to iot servers
Controlling devices connected to node mcu from iot servers and android app
Build apps on node red and upload data to it and control devices connected to nodemcu
Using iot protocols like http and mqtt and implementing on node mcu
Hardware connections of all sensor modules explained with coding in arduino ide

Syllabus

This section covers the end to end applications developed using the Node MCU. Both the hardware interfacing and software interfacing is discussed.

This lecture covers the basics about the Node MCU and explains the Pin Configuration of the Node MCU. The details of the pins are explained in detail and comparison with other controllers is also shown.

In this lecture, Installation of the Node MCU boards on the Arduino IDE is shown. This lecture is important to setup the Node MCU and write the Code in Arduino IDE.

In this lecture, the interfacing of the LED and switch is explained and output is shown on the hardware.

In this lecture, different digital sensors are interfaced with NodeMCU and the Hardware Interfacing and Code is explained. The working of the Sensor also is explained.

In this lecture, DHT sensor is interfaced with NodeMCU and the Hardware Interfacing and Code is explained. The working of the Sensor also is explained.

In this lecture, Ultrasonic sensor is interfaced with NodeMCU and the Hardware Interfacing and Code is explained. The working of the Sensor also is explained.

In this lecture the Analog Sensors are interfaced with Node MCU and the Hardware Interfacing and Code for that is Explained. The ADC working is also explained and the conversion of Digital Value into analog value is also shown.

In this Lecture, the protocols used in IoT applications is explained. Various Protocols like HTTP, TCP/IP and MQTT are explained. In the course, all these protocols are used to Upload data to the different IoT Servers

In this lecture, the basics about Thingspeak server are explained. The video is a general introduction and this server can be used along with Raspberry Pi, Node MCU or arduino controllers and data can be uploaded to this server using GET and POST methods.

In this Lecture the data from the DHT sensor is uploaded to the Thingspeak server using the GET and POST request.

In this Lecture, the data from the Ultrasonic and soil moisture sensor are uploaded to Thingspeak using the GET and POST request.

In this Lecture the basics of MQTT protocol are discussed and the explanation about the MQTT broker is given in detail. In order to explain clearly we are taking help of online apps which work on MQTT protocol and exchange messages from the publish client and subscribe client. It shows the theoretical and practical explanation of MQTT protocol.

In this Lecture, the MQTT protocol is explained practically on Node MCU and the Node MCU is used as an MQTT Client which can publish and subscribe to the topic. MQTT Publish transfers a message to the MQTT Broker and subscribe receives a message to the Node MCU. This message transfers are shown on Node MCU

In this session the DHT sensor data is uploaded to the server using the MQTT protocol. The sensor data is read using the node MCU from the DHT sensor and then that data is uploaded to the MQTT broker. Once the data is published to the MQTT broker, any client who has subscribed on the same topic will receive the messages.

This lecture covers the installation of Node Red on a windows PC. The anode Red application is same whether it works on windows or Linux Operating system. Hence we have shown installation in both the Operating systems. The construction of node flows in both the windows and Linux OS will be entirely same.

This lecture covers the installation of Node Red on Amazon AWS which has the Linux Operating system. The same installation can be done on a Raspberry Pi also as it has a Linux OS. If you want to install Node Red in Windows operating system then the Lecture 15 can be implemented. But once the Node red is installed then the creation of node flows , execution of node flows and all other operations remains same.

In this Lecture the nodes are used to create different algorithms. Introducing the delay, checking the string and replacing them and all the basic blocks in node red and explained in this lecture. Even though you are have installed he Node red in Windows or Linux the same node flows can be used without any change.

In this Lecture, the MQTT nodes are discussed and node flows are built to show how to use the MQTT nodes. Data transfer between the MQTT IN and the MQTT OUT node using shown in this lecture

In this Lecture, the UI dashboard nodes are installed on Node Red and are used to create amazing UI applications. The UI dashboard applications can be used in any application to show the sensor data or can be used to control the devices connected to the Node MCU.

In this Lecture the sensor values from the DHT sensor are uploaded onto the UI dashboard created on the Node Red. The gauge and the graphs are used to create a UI dashboard application and data from the DHT sensor connected to Node MCU is uploaded onto the app.

This Lecture covers Home Automation application Using Node MCU. The relays are connected to the Node MCU and the Node MCU switches on the 230 V bulbs using MQTT Box, Android APP and also using Node Red.

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Starts with NodeMCU basics and Arduino IDE installation, which provides a solid foundation for learners with little to no prior experience in embedded systems or IoT

Covers sensor interfacing (digital and analog) with NodeMCU, which allows learners to build a wide range of IoT projects involving environmental monitoring, home automation, and data logging

Explores MQTT protocol and its implementation on NodeMCU, which is a standard protocol for IoT communication and enables learners to build scalable and reliable IoT solutions

Demonstrates data upload to ThingSpeak server, which is a popular IoT platform for data visualization and analysis, and allows learners to easily monitor and analyze sensor data

Teaches Node-RED for creating IoT applications, which is a visual programming tool that simplifies the development of complex IoT workflows and allows learners to quickly prototype and deploy IoT solutions

Requires the use of Arduino IDE, which may present a learning curve for those unfamiliar with C/C++ programming, though the course claims to explain everything from the basics

Reviews summary

Practical nodemcu-esp32 iot applications

According to learners, this course provides a solid, hands-on introduction to IoT using NodeMCU-ESP32. Students appreciate the practical projects and hardware interfacing examples, finding them key to understanding the concepts. The course aims to be beginner-friendly, starting with basics like Arduino IDE setup. It covers essential topics like sensor integration, MQTT, ThingSpeak, and Node-RED, demonstrating end-to-end applications like home automation. While it offers a good foundation, prospective students should be aware that obtaining the necessary hardware is required to follow along with the exercises.

Need to purchase components for exercises.

"Make sure you have the necessary sensors and components before starting the projects."

"Needed to buy a NodeMCU, sensors (DHT, ultrasonic), and relay modules."

"Successfully completing the course requires having the physical hardware for the labs."

"The cost of components adds to the overall investment in the course."

Introduces essential protocols and platforms.

"Good introduction to MQTT and how to implement it on the NodeMCU."

"Liked the sections on ThingSpeak for data uploading and Node-RED for building dashboards."

"Covered the essential protocols like HTTP and MQTT needed for IoT projects."

"Learning to build apps on Node-RED was a valuable skill gained from this course."

Starts from basics for those with no prior knowledge.

"Explained everything from the very basics, even setting up the Arduino IDE."

"Came in with zero NodeMCU or IoT experience, and I could follow along."

"Assumes no prior embedded systems knowledge, which is perfect for newcomers."

"Step-by-step explanations make it easy to get started with the hardware and code."

Focus on building applications and hardware.

"The projects are the strongest part, really helped solidify the concepts through practical application."

"I learned by doing, interfacing sensors and building small applications was very helpful."

"Shows real-world examples like home automation with relays, which is exactly what I wanted."

"Great practical examples and hardware connections explained step-by-step."

Some topics might need further exploration.

"Provides a good overview, but for advanced understanding of certain topics, I needed to look elsewhere."

"Could use more in-depth coverage on specific communication protocols or optimization techniques."

"Great for beginners, but might not challenge those with some prior experience."

"Some concepts were introduced but felt like they could be explored in more detail."

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 Practical NodeMCU-ESP32 IoT Course with Applications with these activities:

Review Basic Electronics Concepts

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Strengthen your understanding of fundamental electronics principles. A solid grasp of these concepts is crucial for understanding sensor interfacing and circuit design in the course.

Browse courses on Ohm's Law

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Review online resources covering basic circuits.
Solve practice problems related to Ohm's and Kirchhoff's Laws.
Familiarize yourself with common electronic components.

Brush Up on C/C++ Programming

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Improve your C/C++ programming skills, which are essential for coding NodeMCU applications in the Arduino IDE. This will make understanding and modifying the provided code examples much easier.

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Review C/C++ syntax and data structures.
Practice writing simple programs using loops and conditional statements.
Familiarize yourself with Arduino-specific functions and libraries.

Follow Online Tutorials on Sensor Interfacing

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Deepen your understanding of sensor interfacing by following online tutorials. This will provide practical experience and expose you to different approaches for connecting sensors to microcontrollers.

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Search for tutorials on interfacing specific sensors (e.g., DHT11, ultrasonic sensor) with Arduino.
Follow the tutorials step-by-step, paying attention to the code and hardware connections.
Try modifying the code to experiment with different sensor parameters.

Four other activities

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Practice MQTT Communication with Online Brokers

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Reinforce your understanding of the MQTT protocol by practicing communication with online MQTT brokers. This will help you become more comfortable with publishing and subscribing to topics.

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Find a free online MQTT broker.
Use an MQTT client (e.g., MQTT.fx) to connect to the broker.
Publish and subscribe to different topics to test the communication.

Build a Simple Weather Station

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Apply your knowledge by building a simple weather station using NodeMCU and DHT sensor. This project will solidify your understanding of sensor interfacing, data acquisition, and data transmission.

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Connect a DHT sensor to NodeMCU.
Write code to read temperature and humidity data.
Upload the data to a cloud platform (e.g., ThingSpeak).
Visualize the data on a dashboard.

Document Your Weather Station Project

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Improve retention by documenting your weather station project. Explaining your process will reinforce your understanding and help others learn from your experience.

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Write a detailed description of your project, including the hardware and software components.
Create a schematic diagram of the circuit.
Explain the code and how it works.
Share your project on a blog or online forum.

Contribute to an Open Source IoT Project

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Deepen your understanding and contribute to the community by contributing to an open-source IoT project. This will expose you to real-world development practices and collaborative coding.

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Find an open-source IoT project on GitHub or GitLab.
Read the project's documentation and contribution guidelines.
Identify a bug or feature that you can contribute to.
Submit a pull request with your changes.

Career center

Learners who complete Practical NodeMCU-ESP32 IoT Course with Applications will develop knowledge and skills that may be useful to these careers:

Internet of Things Developer

An Internet of Things Developer focuses on the software and hardware aspects of creating connected devices and systems. This job involves all aspects of sending and receiving data, often using sensors. This course is directly relevant as it covers sensor interfacing with NodeMCU, uploading data to servers like Thingspeak, using MQTT protocols, and developing applications with Node Red. These are fundamental skills for an Internet of Things Developer and include working with an embedded hardware platform, sensor integration, and networking protocols. The course's focus on practical, hands-on projects provides valuable experience in end-to-end IoT development.

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Embedded Systems Engineer

An Embedded Systems Engineer designs, develops, and tests software and hardware for embedded systems, which are computer systems with a dedicated function within a larger mechanical or electrical system. This course may be helpful because it provides hands-on experience with NodeMCU, a microcontroller commonly used in embedded systems. Through the course, you will learn to interface sensors, upload data to servers, use protocols like MQTT, and build applications using Node Red. These skills build a basic foundation for the hardware and software aspects of embedded systems, which are crucial in the development of embedded systems applications.

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Research and Development Engineer

A Research and Development Engineer works in the development of new products and technologies. The course may be useful to a research and development engineer because it introduces you to embedded systems development using NodeMCU, sensor interfacing, and data communication using MQTT. The course also helps you build a foundation in using Node Red to create applications and to interface with hardware. The course's practical, hands-on approach is beneficial for someone who needs to create new prototypes and explore new technologies.

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Automation Engineer

An Automation Engineer designs, develops, and implements automated systems for various applications, often within industrial or manufacturing settings. The course provides you with practical skills in sensor interfacing, data acquisition, and control systems, using the NodeMCU platform. You will learn how to connect sensors, upload data to servers, and use protocols like MQTT, all of which are relevant to building automated systems. The course touches on home automation applications, which may be directly applicable to broader automation engineering projects. Learning to control the devices from the MQTT Box application, Android App and Node Red will be especially helpful in this role.

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Systems Integrator

A Systems Integrator works to bring separate hardware and software systems together into a cohesive whole so that the systems can function together. This course can be helpful because it offers practical experience in integrating hardware components, like sensors with a microcontroller, that is, the NodeMCU, with software systems. The course also demonstrates how to upload data to servers like Thingspeak and how to exchange messages using MQTT. You will also gain understanding of app development with Node Red. These capabilities can be valuable for a systems integrator who needs to connect disparate systems.

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Control Systems Engineer

A Control Systems Engineer designs and implements systems that control process and equipment. This course gives students an understanding of how to communicate between devices, such as the NodeMCU, and various systems, and to do so with protocols such as MQTT. The course also covers sensor interfacing, which is fundamental in any control system. Through this course, you learn the fundamentals of communicating with hardware through software to control systems and devices. This is an important part of the work of a Control Systems Engineer and this course may be extremely helpful.

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Instrumentation Engineer

An Instrumentation Engineer specializes in designing, developing, and maintaining instruments used to measure and control physical quantities, especially in industrial settings. This course can be helpful because it provides an introduction to sensor interfacing with the NodeMCU and shows how to use these sensors to gather data. You will learn to use different types of sensors, such as digital, analog, DHT and ultrasonic sensors, and to process the data from these sensors. Also, you will learn how to use protocols like MQTT to transfer the data and how to use the Node Red platform to build applications with sensor data. This course can build a basic foundation in the practical aspects of building instruments.

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Technical Trainer

A Technical Trainer educates individuals on the technical aspects of software, hardware, and other tech related topics. This course may be useful because it provides hands-on experience with NodeMCU, sensor integration, and coding in Arduino IDE. These are practical skills and knowledge that a technical trainer might need, and the course covers all of these. The course also provides an end-to-end view of how to develop IoT applications, which may be useful to a trainer educating others on this topic. Knowledge of the full lifecycle of a project may be extremely valuable to a trainer.

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Robotics Engineer

A Robotics Engineer works on the design, construction, and programming of robots and automated systems. This course may be useful as it introduces core concepts necessary for robotics, like sensor interfacing with the NodeMCU, an embedded system, and data acquisition. You will also learn to use protocols like MQTT, and to build applications using Node Red. These skills build a foundation for the sensing, communication, and control aspects of robotics. The course's practical approach to hardware connections and software coding can be highly applicable in robotics projects.

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Product Developer

A Product Developer is involved in the full lifecycle of product development, from concept to launch, often working with hardware and software teams to turn an idea into a product. This course may be useful for a product developer who wishes to understand how sensor data is obtained and used for product development. The course covers practical skills including sensor interfacing with the NodeMCU, data upload to servers, and application development with Node Red. This practical experience can be essential for a product developer who needs to understand the technical feasibility of new ideas and implementations.

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Quality Assurance Engineer

A Quality Assurance Engineer is responsible for ensuring the quality of a product, which can involve testing hardware, software, or the integration of these. This course may be useful as it provides a practical foundation in hardware interfacing and software coding for IoT applications, and how these systems communicate. You learn about sensor data, data streaming, and application development with Node Red, all of which help build the foundation of a working system. This knowledge means that a quality assurance engineer can better design test plans. By understanding how the system functions, one can also better test the system and find weaknesses.

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Hardware Engineer

A Hardware Engineer is involved in the design, development, and testing of physical hardware components, often incorporating sensors and microcontrollers. This course may be useful because it provides a practical introduction to interfacing sensors with a microcontroller, specifically the NodeMCU. You will also learn about digital and analog sensors, how to use the Arduino IDE, and how to upload data from sensors to servers and apps. The skills gained from this course help build a foundation for the hardware design and integration aspects of hardware engineering.

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Network Engineer

A Network Engineer is responsible for the design, implementation, and maintenance of computer networks. This course may be helpful because it introduces the use of network protocols such as MQTT, which is used for communication with IoT devices. While the course is not directly focused on traditional network infrastructure, this course may be valuable to a network engineer who wants to understand the workings of IOT networks. Students will learn about how to use protocols to upload data to a server. This course introduces the student to network communication between devices and servers.

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Data Engineer

A Data Engineer develops, manages, and tests data infrastructures and pipelines. This course might be helpful, as it provides practical experience in collecting data from sensors using the NodeMCU and sending data to servers. You will learn how to use protocols like MQTT for data transfer, and you will engage with data from sensors through Node Red. Although a significant portion of the work of a Data Engineer is related to database management, data transformation, and pipeline management, the practical experience of collecting data from a hardware source is extremely valuable.

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Software Developer

A Software Developer creates and maintains software applications, and you might be surprised by the relevance of this course. This course may be helpful as it provides experience with coding on the Arduino IDE, which is similar to many other development environments. You will also gain understanding of application development using Node Red. The course also exposes you to the MQTT protocol, which is useful for communication between devices and servers. Knowledge of these skills can be useful for software developers working on applications that interact with hardware or sensor data, even though the day to day of this job does not focus on embedded systems.

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