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AWS IoT and Raspberry Pi for Smart IoT Solutions

Name: AWS IoT and Raspberry Pi for Smart IoT Solutions
Rating: 4.1 (12 reviews)

Unlock the full potential of IoT with AWS and Raspberry Pi—build smart, connected systems from scratch!

Created byEDUCBA Bridging the Gap

Last updated 11/2024

English

English [Auto],

What you'll learn

Introduction to IoT and AWS IoT Services: Understand the fundamentals of IoT, AWS IoT Core, and the key components needed to build connected solutions.
Setting Up IoT Infrastructure: Learn how to create and configure AWS IoT accounts, connect devices securely using protocols like MQTT and HTTP.
Programming with MQTT: Master MQTT protocol for real-time data transmission, write Python programs for IoT applications, and enable seamless communication.
Hands-on Raspberry Pi Projects: Get hands-on experience with Raspberry Pi, learning to set up, program, and control IoT hardware like LEDs, sensors, and more.
Cloud Integration with AWS IoT: Discover how to integrate Raspberry Pi with AWS IoT services, set up IoT 'Things', manage certificates.
Building Smart IoT Solutions: Gain practical experience by creating a real-world Smart Parking System using Raspberry Pi, AWS IoT, and sensor technologies.
Data Insights and Batch Processing: Explore techniques for analyzing IoT data, batch processing for large-scale IoT deployments, and visualizing real-time data.
Advanced IoT Programming: Dive deeper into IoT programming by implementing advanced Python scripts for sensor data handling, device management.

Course content

8 sections • 61 lectures • 5h 44m total length

Introduction to AWS IOT2:10
Explore AWS IoT services and practical integration with Raspberry Pi, learn MQTT basics, and publish and subscribe data between Raspberry Pi and AWS to control an LED project.

Industrial IOT9:02
Explore how cloud services enable AWS IoT connectivity for industrial devices, including offline shadow interactions, on-prem data gateways, data analytics, and closed-loop control across sensors.
Design Tenets5:26
Explore design tenets of AWS IoT, including standard protocols, bidirectional security translation between device protocols, horizontal scalability, quality of service, ease of use, and pay-as-you-go cost efficiency.
TCP-UDP3:20
Explore transport and application layer protocols, compare tcp and udp, and learn why mqtt and http are chosen for the project due to connection-oriented reliability.
TLS-SSL3:43
Examine TLS and SSL as cryptographic transport layer protocols that secure end-to-end internet communications and online transactions.
QOS8:28
Learn the security requirements of IoT infrastructure—secure communication, strong authentication, and end-to-end encryption—while mastering QoS levels zero, one, and two for reliable messaging in AWS IoT and Raspberry Pi projects.
AWS Account Creation5:05
Learn to create an AWS IoT account, navigate the console, enter personal details, verify a card, and access the free tier for IoT projects.
How to Create AWS-IOT Account8:11
Learn to create an AWS IoT account and use the device gateway, rules engine, and device shadow to connect devices, publish commands, and route data to AWS Lambda and DynamoDB.
Rule Actions6:30
Discover how rule actions orchestrate device control through AWS IoT core, and how the device shadow stores actions for offline devices until they come online.

Precap1:20
HTTP and MQTT5:10
HTTP and MQTT Continue11:49
MQTT Programming on Python10:19
Explore mqtt programming in Python by installing Python, using the Paho mqtt client, and subscribing to the test/IoT topic on the Eclipse.org broker via port 1883 with QoS 1.
MQTT Programming on Python Continue4:12
Implement mqtt subscription in python by defining on_connect and on_message handlers, decoding payloads, and looping to process incoming messages from the IoT Eclipse broker on port 1883.
Paho Installation in Prompt3:22
Install the paho-mqtt library and run the module to establish a broker connection, confirm with RC value zero, and learn to set a mobile client to send messages to desktop.
Mobile and PC communication7:21
Connect mobile and PC using an MQTT client to iot.eclipse.org:1883, publish to the topic test/IoT with QoS 1, and subscribe to see messages across devices.
Paho Website Review3:10
Review the Paho Python MQTT client: install, subscribe, publish, and on-connect and on-message callbacks, and how these integrate with AWS IoT and MQTT-based demos.

Introduction to Rasp- Pi Programming0:57
Explore raspberry pi programming in detail and connect it with AWS IoT, MQTT brokers, and application layer protocols to build secure, quality-of-service IoT solutions linking mobile and desktop devices.
Rasp Installation10:46
Explore the Raspberry Pi as a low-cost, credit-card sized IoT hardware platform, learn Scratch and Python programming, and follow practical Noobs installation on a micro SD card.
Rasp-pi Connections and Display on Monitor6:33
Learn how to connect a Raspberry Pi to a monitor and peripherals, install the noobs/Raspbian OS, configure Wi-Fi and VNC, and access the desktop for Mosquitto setup.
Rasp-Pi Settings4:51
Master Raspberry Pi setup for IoT by installing mosquitto, using the mosquitto client with Python, updating the system, and navigating terminals to troubleshoot installation.
LED on-off Blink9:23
Learn to blink an LED on a Raspberry Pi using Python and GPIO, configuring board numbering, setting pin eight as output, and looping with two-second delays.
LED on-off Blink Assembly7:30
Blink an LED on a Raspberry Pi GPIO pin eight as output with a two-second delay. Install Mosquitto MQTT broker for mobile to desktop and Raspberry Pi to mobile control.
LED on-off Cellphone12:05
Learn to turn a Raspberry Pi LED on and off from a cellphone using MQTT with Paho, GPIO pin 8, and a broker on eclipse.org:1883.
LED on-off Cellphone Assembly8:58
Learn to turn a Raspberry Pi LED on and off via MQTT messages from a mobile device, verify LED wiring and broker connectivity, and preview AWS IoT integration.

Intro to Rasp- Pi Programming for Publishing2:41
Publish proximity sensor data from Raspberry Pi through AWS IoT, while using Python to set the Pi as a broker and connect to AWS IoT, including thing, certificates, and rules.
Rasp-Pi Connections1:55
Learn to wire a Raspberry Pi with a proximity sensor, including VCC, ground, and out pins, using a breadboard and display cable for smart IoT solutions.
Mosquitto Broker Installation3:35
Connect to the Raspberry Pi via VNC, purge and reinstall the Mosquitto broker, then install Mosquitto clients using apt to manage upgrades and verify status.
Pi as a Broker3:36
Configure the Raspberry Pi as a Mosquitto MQTT broker, subscribe and publish on the hello world topic, and prepare proximity sensor programming for IoT communication.
Declaration of Variables in Sensor Program6:06
Open Python and connect a proximity sensor to Raspberry Pi, then declare and read a GPIO input to publish sensor data to an MQTT broker for IoT devices.
While Loop Sensor Program8:51
Implement a while loop sensor program that reads pin seven with a proximity sensor, publishing object found or no object found messages to test/IoT on iot.eclipse.org broker each second.
Connections Sensor Program5:32
Wire a proximity sensor to a Raspberry Pi using a breadboard, mapping vcc, ground, and output pins, and run the proximity dot pi program to detect an object.
Program Execution3:38
Showcase a Raspberry Pi object-detection program that prints object found or no object found based on an out flag, explains single versus continuous messaging, and publishes data to mobile.
Sensor Output on Mobile6:38
Connect the mobile to an MQTT broker, subscribe to test/IoT on iot.eclipse.org, and observe retained and object found messages, then prepare to proceed with AWS IoT in the next lecture.

Setting Raspberry-pi as a Broker3:47
Set up the Raspberry Pi as an MQTT broker to publish data from the Pi to mobile or remote devices, turning the Pi into a middle device.
Setting Raspberry-pi as a Broker Continue7:58
Set up Raspberry Pi as an mqtt broker to publish data to mobile and pc clients, routing messages via topics pi/smartphone and pi/pc.
More on Setting Raspberry-pi as a Broker3:39
Learn how to set up a Raspberry Pi as an MQTT gateway broker, publish messages to the gateway, and deliver them to a receiver across devices.
Setting Raspberry-pi as a Broker on Mobile4:17
Set Raspberry Pi as an mqtt broker and connect the mobile device, then publish to a topic. Subscribe on Raspberry Pi Python shell and read messages on PC and mobile.
Subscribing Massage on Mobile3:14
Publish and subscribe messages between a Raspberry Pi broker and mobile and PC clients using topics Pi/slash smartphone and Pi/slash PC, with gateway delivery via IoT Eclipse.org.
Subscribing Massage on Mobile Continue1:48
Demonstrate setting Raspberry Pi as a broker and gateway to enable messaging between PC and mobile. The video shows sending and receiving messages across the Raspberry Pi broker.
AWS IOT Procedure for Create Things6:39
Connect a Raspberry Pi to AWS IoT by creating a thing, generating certificates, and attaching a policy, then securely publish and subscribe data using Python programming.
Create Thing-Certificate7:56
Create a single thing in AWS IoT, then download the four items: certificate, public key, private key, and root CA to enable authentication and encryption for your Raspberry Pi.
Create and Attach Policy5:14
Create and attach a policy to your AWS IoT certificate to enable full actions and interactions with MQTT and HTTP endpoints, while managing shadows and policy attachments.
AWS IOT Python Program7:47
Create a secure AWS IoT Python program on a PC to subscribe and publish MQTT data using SSL certificates, decode messages, and trigger email alerts for high temperatures.
AWS IOT Python Program Continue8:07
Publish plant temperature data to an AWS IoT MQTT broker with certificate-based authentication and trigger alerts when the reading exceeds 75, sending updates to a mobile operating station and email.
AWS IOT Program Execution3:20
Publish and subscribe to AWS IoT topics from a Raspberry Pi, testing temperature messages and configuring a rule to email alerts when the temperature exceeds 75.

Basic Idea of Smart Parking System Project9:16
Design a smart parking system prototype using a proximity sensor and Raspberry Pi, sending occupancy status to AWS IoT for cloud updates and theft protection alerts via email.
Steps Followed to Learn Design7:56
Follow repeatable process to design a cloud monitored smart parking system using AWS IoT basics, MQTT, Raspberry Pi with sensors and LEDs, architecture on AWS IoT with certificates and policies.
Communicate Between Rasp pi6:13
Set up a secure Raspberry Pi connection to AWS IoT using MQTT over SSL and transfer certificates via VNC, subscribe to the topic my topic/IoT, and decode and print messages.
Communicate Between Rasp pi Continue2:26
Learn to configure AWS IoT on a Raspberry Pi by locating and selecting the four credential files—root CA, certificate, private key, and VeriSign—and setting their paths in the code.
More on Communicate Between Rasp pi4:25
Learn to establish secure Raspberry Pi to AWS IoT communication by configuring private keys, certificates, TLS 1.2, and verifying the server address with the correct AWS IoT object.
Communicate Between Rasp pi Execution1:57
Test the Raspberry Pi to AWS IoT connection by subscribing to a topic and publishing a message, then modify the program to send proximity sensor data for smart parking.
Status of Proximity Sensor1:53
Modify the program to connect a Raspberry Pi proximity sensor to AWS IoT, using GPIO and time delays to send the sensor status to the broker.
Status of Proximity Sensor Continue9:09
Learn to connect a proximity sensor to a Raspberry Pi and publish parking status, parking empty or occupied messages, to AWS IoT via MQTT on the smart parking IoT topic.
Status of Proximity Sensor Connections3:09
Connect the proximity sensor to a Raspberry Pi on a breadboard: vcc to pin 4, gnd to pin 6, out to pin 7. The output lights when object is present.
Status of Smart Parking Excecution4:04
demonstrates how a Raspberry Pi proximity sensor detects a parking slot status and communicates occupancy updates to AWS IoT, enabling smart parking status monitoring via live messages.

AWS IOT Rule Setting8:30
Set up an AWS IoT rule to monitor smart parking status via proximity sensor and send email or SNS alerts when a parking slot is occupied.
AWS IOT Rule Setting Continue5:47
Configure the SNS email subscription, verify it, and create an AWS IoT rule to send parking occupancy alerts to your email, demonstrating a smart parking system.
System Local Alarm5:21
Explore adding a local alarm to a smart parking system by wiring Raspberry Pi pins seven and eight for a proximity sensor and LED buzzer, enabling on-site alerts.
System Local Alarm Program3:43
Configure a local alarm on a Raspberry Pi by setting pin eight as an output and using the ps input to toggle the led and buzzer for parking slot occupancy.
System Local Alarm Program Execution4:42
Build a smart parking system using a Raspberry Pi and AWS IoT, activating a buzzer and LED on occupancy, with local alarm, security guard alerts, and AWS IoT integration.

Requirements

Basic Understanding of Networking: Knowledge of networking concepts such as IP addresses, protocols (HTTP, TCP/IP, MQTT), and secure communication (TLS/SSL) will be helpful, but not essential.
Basic Programming Knowledge: A foundational understanding of programming concepts, preferably in Python, will be beneficial for programming Raspberry Pi and IoT devices.
Familiarity with Cloud Computing Concepts: Basic knowledge of cloud computing principles, especially cloud services such as AWS, will assist students in understanding AWS IoT Core and related cloud components.
Hardware (Raspberry Pi): Students will need access to a Raspberry Pi (preferably Raspberry Pi 3 or later), including accessories such as power supply, SD card, display, and internet connectivity.
AWS Account: An active AWS account is required to access AWS IoT services. AWS offers a free tier, but students may need to provide billing information for certain services beyond the free usage.

Description

In a world where everything is becoming connected, the Internet of Things (IoT) is driving innovation across industries. This comprehensive course, Mastering AWS IoT and Raspberry Pi for Smart IoT Solutions, is designed to help you become proficient in building and managing IoT systems using AWS IoT services and Raspberry Pi. You'll learn how to connect, manage, and analyze your IoT devices, enabling you to create smart solutions for real-world applications like industrial automation and smart parking systems. Whether you're a developer, engineer, or tech enthusiast, this hands-on course will equip you with the skills to excel in the IoT landscape.

Section-wise Writeup:

Section 1: Introduction

This section provides an overview of the course, starting with an introduction to AWS IoT. You'll understand the basics of how AWS IoT enables secure, scalable, and cost-effective solutions for IoT applications. The lecture lays the groundwork for the exciting journey into IoT integration and automation.

Section 2: Getting Started with AWS IoT

Dive into the fundamentals of Industrial IoT, exploring key concepts like design tenets, communication protocols (TCP, UDP), and security standards (TLS, SSL). You’ll also learn about Quality of Service (QoS) levels for IoT data transmission. By the end of this section, you'll set up your AWS account and create your first AWS IoT account, ready to implement IoT rule actions.

Section 3: MQTT Introduction and Programming

In this section, you’ll explore the widely-used MQTT protocol, focusing on its comparison with HTTP for IoT applications. You'll learn to set up MQTT in Python, using the Paho MQTT library. The lectures guide you through hands-on programming to enable seamless communication between mobile devices and PCs, making you proficient in real-time data transfer.

Section 4: Raspberry Pi Programming Essentials

Raspberry Pi is a cornerstone of IoT projects. This section introduces you to Raspberry Pi programming, starting from installation to hardware connections. You'll work with GPIO pins to control LEDs, create basic circuits, and even turn your smartphone into a controller for IoT devices, using simple Python scripts to blink LEDs remotely.

Section 5: Raspberry Pi for IoT Publishing

Learn to transform your Raspberry Pi into an IoT data publisher. You'll install the Mosquitto MQTT broker, configure your Raspberry Pi as a broker, and write sensor programs to collect data. This section focuses on practical implementation, where you’ll execute sensor programs and visualize data outputs on your mobile devices.

Section 6: Integrating Raspberry Pi with AWS IoT

This section is all about connecting your Raspberry Pi projects to the AWS IoT cloud. You’ll go step-by-step through the process of setting up AWS IoT 'Things', creating certificates, and attaching policies. The integration lectures include Python programming for AWS IoT, enabling secure communication between your Raspberry Pi and the cloud for real-time IoT applications.

Section 7: Smart Parking System Project - Concept and Design

Step into the world of smart city solutions with a hands-on Smart Parking System project. You'll explore the project concept, design tenets, and Raspberry Pi communication protocols. By leveraging proximity sensors, you'll build a system that detects vehicle presence and communicates data to AWS IoT for monitoring and automation.

Section 8: Smart Parking System Project - Implementation and Execution

The final section focuses on executing your Smart Parking System project. You'll set up AWS IoT rules, program local alarms, and develop a complete IoT solution that notifies users of parking availability. The hands-on exercises will solidify your understanding of integrating hardware, software, and cloud services to build scalable IoT systems.

Course Conclusion:

By the end of this course, you’ll have gained a deep understanding of AWS IoT and Raspberry Pi, empowering you to build, connect, and manage IoT systems effectively. Whether you aim to innovate in smart cities, industrial IoT, or home automation, this course provides you with the practical skills and confidence to excel in the IoT domain. Get ready to transform your IoT ideas into reality with AWS IoT and Raspberry Pi!

Who this course is for:

Aspiring IoT Developers: Individuals who want to build practical skills in creating and deploying IoT solutions using AWS IoT Core and Raspberry Pi. Whether you're just getting started or have some experience, this course will guide you through the essentials of IoT device programming and cloud integration.
Software Engineers and Developers: Software professionals looking to expand their skill set into the world of IoT and cloud computing. If you're already comfortable with programming and want to work with connected devices and cloud services, this course will help you transition into IoT development.
Cloud Enthusiasts: Individuals who want to learn how to utilize AWS IoT services to create cloud-based IoT solutions. Whether you're a developer, architect, or cloud enthusiast, this course offers hands-on experience with AWS tools used for IoT management.
Students and Recent Graduates: Students in computer science, electronics, or related fields who are eager to learn how to integrate hardware and cloud services to develop real-world IoT solutions. This course offers practical experience that can be a valuable addition to your academic knowledge.
Tech Enthusiasts and Hobbyists: People passionate about technology and IoT who want to work on practical projects like smart devices, automation systems, and connected solutions. If you enjoy building and experimenting with hardware and software, this course will equip you with the tools to bring your ideas to life.

AWS IoT and Raspberry Pi for Smart IoT Solutions

What you'll learn

Explore related topics

Course content

Introduction1 lecture • 2min

Getting Started8 lectures • 50min

MQTT Introduction8 lectures • 47min

Rasp- Pi Programming8 lectures • 1hr 1min

Rasp- Pi Programming for Publishing9 lectures • 43min

Rasp- Pi and AWS IOT Integration12 lectures • 1hr 4min

Smart Parking Project Concept10 lectures • 50min

Smart Parking Project Execution5 lectures • 28min

Requirements

Description

Who this course is for: