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Coursera

Learn Bits and Bytes of Raspberry Pi & IoT using Node-RED

Packt via Coursera

Overview

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This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this comprehensive course, you’ll dive into the world of Raspberry Pi and IoT, learning to leverage Node-RED for building and deploying IoT solutions. You’ll gain hands-on experience in interfacing sensors, controlling relays, and creating interactive flows that integrate hardware and software seamlessly. By understanding Raspberry Pi fundamentals and learning to work with Node-RED, you’ll be able to design robust IoT systems that can collect and analyze real-time data. The journey begins with the installation and setup of Node-RED on Windows, followed by an introduction to the Raspberry Pi hardware and software. You’ll explore how to interface with LEDs, relays, and sensors such as SenseHAT and DHT11/DHT22, using Node-RED for processing and managing data. Additionally, you’ll gain insights into cloud platforms like ThingSpeak and MQTT to transmit data remotely. This course also covers the essentials of automating and monitoring devices using real-world tools like Adafruit IO. This course is ideal for beginners interested in IoT and Raspberry Pi. No prior experience in programming or electronics is required. If you’re curious about creating interactive hardware projects or automating IoT systems, this course will give you the foundational knowledge to build your own smart devices. By the end of the course, you will be able to set up and configure Raspberry Pi hardware, integrate various sensors using Node-RED, and build IoT solutions that connect to cloud services and MQTT brokers for remote monitoring and control.

Syllabus

  • Introduction
    • In this module, we will introduce you to Node-RED, an intuitive tool for IoT solutions. You will learn how to install Node-RED on a Windows system and begin creating your first IoT flows. By the end of this section, you'll have hands-on experience with the core concepts of Node-RED and be ready to start building your own IoT applications.
  • Raspberry Pi Fundamentals and Getting Your Raspberry Pi Turned On
    • In this module, we will explore the fundamental aspects of the Raspberry Pi, from understanding its components to setting it up for use. You will learn how to install the Raspberry Pi OS, both with and without an external monitor, and discover how to control your device remotely using VNC and SSH. By the end of this section, you'll be ready to start using your Raspberry Pi for IoT and general computing projects.
  • Raspberry Pi Interfacing with Hardware Using Node-RED
    • In this module, we will teach you how to use Node-RED to interface your Raspberry Pi with external hardware like LEDs and relays. You’ll learn to set up the hardware, create the necessary Node-RED flows, and control the devices, including using protection circuits for safe operation. By the end of this section, you'll have hands-on experience in automating hardware with your Raspberry Pi and Node-RED.
  • Blink Output Using Node-RED
    • In this module, we will guide you through the process of blinking an LED on your Raspberry Pi using Node-RED. You will learn to create a flow that toggles an output pin at regular intervals and how to use a physical switch to control the blinking. By the end of this section, you will have the skills to set up and control basic output functions with Node-RED and Raspberry Pi.
  • Raspberry Pi Interfacing with Sensors
    • In this module, we will explore how to interface with various sensors using your Raspberry Pi and Node-RED. You’ll learn to connect the SenseHAT and DHT11/DHT22 sensors, and process the sensor data with Node-RED. Additionally, you’ll experiment with displaying sensor data and using conditional statements to control outputs based on sensor readings. By the end of this section, you will have practical experience with handling sensor data and visualizing it through different outputs.
  • Fundamentals of Internet of Things and Creating Project with ThingSpeak
    • In this module, we will cover the foundational concepts of the Internet of Things (IoT) and introduce you to ThingSpeak, a cloud platform for managing IoT data. You’ll explore different IoT devices and communication methods, then learn how to send sensor data to ThingSpeak using Node-RED. By the end of this section, you will have hands-on experience in setting up an IoT project and leveraging cloud services for data analysis.
  • MQTT Using Node-RED
    • In this module, we will dive into the MQTT protocol, a lightweight messaging system for IoT applications, and explore how to use Node-RED to interact with an MQTT broker. You will learn how to send and receive data, configure MQTT communication, and transmit sensor readings efficiently. By the end of this section, you'll be able to implement MQTT in your IoT projects for seamless data exchange.
  • Complete Project Using Adafruit IO
    • In this module, we will guide you through building a simple home automation system using Node-RED and Adafruit IO. You’ll learn how to set up a DHT sensor for monitoring temperature and humidity, visualize the data on Adafruit IO, and control devices like LEDs. By the end of this section, you’ll have a fully functional IoT project that combines hardware, cloud-based visualization, and automation.
  • Exporting Flows and Starting Node-RED on Startup
    • In this module, we will show you how to export and import Node-RED flows, making it easier to save, share, and reuse your work in future projects. You’ll also learn how to set up your Raspberry Pi to automatically start Node-RED flows on boot, ensuring that your projects run seamlessly without manual intervention. By the end of this section, you'll be able to efficiently manage and deploy your Node-RED projects.
  • Conclusion
    • In this final module, we will review the key concepts covered throughout the course, from setting up Node-RED and interfacing with sensors, to deploying IoT projects with cloud platforms. The focus will be on encouraging you to continue experimenting with what you've learned and applying it to your own projects. By the end of this section, you’ll be ready to take the next steps in your IoT journey.

Taught by

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