課程大綱： Industrial Training IoT (Internet of Things) with Raspberry PI and AWS IoT Core 「8 Hours Remote」培訓
Basics of IoT devices
Architecture of IoT system – IaaS vs PaaS based IoT system
Basics of “The things”, Sensors, business functions and mapping between them to build deliverable IoT data.
Essential components of IoT system- Hardware, Middleware, Security, Fleet manager (sensors and things manager), sensor onboarding, thing onboarding, geofencing, time series data, alert/alarm, data visualization
AWS Paas functions for Middleware, Security, Fleet manager, alert/alarm etc.
IoT device security, why we need it?
Basics of IoT device communication with cloud with MQTT
Early history of IoT communication.
Basics of MQTT and why we use MQTT for IoT devices.
Message queue and PubSub system.
Connecting IoT devices to AWS with MQTT (AWS IoT Core)
How to configure IoT core to connect your device.
Onboarding and deboarding sensors
Onboarding and deboarding of “The things”
Connecting AWS IoT core with AWS Lambda function for computation and data storage using DynamoDB
Connect AWS Core with AWS Lambda.
What is AWS Lambda.
What is DynamoDB.
Collect data from AWS IoT Core and store it to DynamoDB using Lambda.
Connecting Raspberry PI with AWS IoT core and simple data communication
Code on Raspberry PI to connect with AWS IoT Core using python.
Send and receive data.
AWS SDK/Functions for Middleware security, connectivity and device management
Hands on with Raspberry PI and AWS IoT Core to build a smart device
Code on Raspberry PI to read data from sensor and send it to AWS.
Code on AWS Lambda to read sensor data, process it and control the device based on sensor data to make the device smart.
Sensor data visualization and communication with web interface
Building a simple Angular based application to visualize sensor data and host it on AWS S3 for public access.
SaaS on PaaS for AWS IoT : How to build a SaaS network around AWS Lambda
Alert and event capture
Sensor calibration
Rule addition for alert and events
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