Video 1.5 the road ahead. In this video, we'll cover the following what we'll be doing in the rest of the course, get a big picture overview of the projects we will be building and how the various conceptual pieces fit together. To start with, we will do a mini project where we'll mainly focus on things and connect. This will be a simple project, which will help you in getting familiar with the AWS IoT console. They will first connect a Raspberry Pi for sending messages to the AWS IoT via mq TT protocol, disconnection between thing and AWS IoT is secured with mutual authentication and encryption. Later, we will connect an ultrasonic sensor to the Raspberry Pi and send the sensor data to the AWS IoT Core.
After this, we will come to the heart of our course and build a larger project where sensor data From an IoT board connected to the AWS cloud will trigger an LED connected to a Raspberry Pi. While this may appear a trivial project, this will showcase how various services of the AWS IoT platform are connected to the AWS IoT Core to accomplish the project codes. Once you understand this project, you will be on your way to build substantial projects on your own, I don't AWS IoT, we will first connect a DHD 11 sensor and an ESP 32 microcontroller to AWS IoT Core security. We will then send the temperature and humidity values to the AWS IoT in AWS IoT, we can create rules which will help our thing to interact with the AWS services. We will create rules for interacting with the AWS services and performing the following tasks, notification scheduling events, triggering events, wishes Realizing the sensor data notification, we will create a rule for sending text messages and emails to the users via Amazon SNS when the temperature value goes above a certain limit.
For example, when the temperature rises above 25 degrees, then you will be getting a notification through Amazon SNS. Amazon SNS is a simple notification service sheduled events using AWS cloud watch events, we can schedule or create patterns to invoke targets. We will schedule Sq s trigger in this project. For example, we will schedule a message to SQL everyday at 10am. sq S is a simple queue service, which will manage and store the messages in a queue. They will then write a simple Python code on the Raspberry Pi, which will check Sq s for messages.
If the Raspberry Pi finds a message it will turn on the actuator which is an LED in our project that is connected to it. triggering events, triggering events is a bit similar to scheduling. Here we'll write a rule for sending the sensor data to the AWS lambda, AWS lambda will send on and off messages to Sq s based on the conditions given. For example, it will send on when the temperature is greater than 25 degrees and off when it is less than 25 degrees. We will then write a Python code on raspberry pi, which will take Sq s for messages. If Raspberry Pi finds on message, then it will turn on the LED that is connected to it.
And when it finds an off message, it will turn off a lead. Instead of an LED, you can just connect your AC or fan and turn them on and off based on your liking. This is a real time IoT application that you can build easily with Amazon. Later. You can also visualize this sensor data visualizing Using IoT rule, the sensor data will be sent to kinases firehose. Here.
Kinesis helps us in collecting the data, then the data is sent to s3 for storage purpose. And later, we'll be using Athena for quickly analyzing the data from the s3 bucket in a tabular format. This data is then streamed into Amazon quick site, a widely used analytics service here will create an analyze visualizations of the sensor data. Can't wait to build your own IoT applications using Amazon Comm. I'll guide and help you throughout the course summary. In this video, we covered the following what we'll be doing in the rest of the course, get a big picture overview of the projects we'll be building and how the various conceptual pieces fit together.
In this section, we covered the following introduction to the course. Introducing AWS IoT explore AWS IoT, creating a budget and billing alert the road ahead. In the next section, we will learn connecting things to AWS IoT Core. See you in the next section.