Course Outline
- Fundamentals of IoT Devices for Government
- Architecture of IoT Systems: IaaS vs. PaaS-Based IoT Systems
- Basics of "The Things," Sensors, Business Functions, and Mapping to Generate Deliverable IoT Data
- Essential Components of an IoT System: Hardware, Middleware, Security, Fleet Manager (Sensors and Things Manager), Sensor Onboarding, Thing Onboarding, Geofencing, Time Series Data, Alerts/Alarms, and Data Visualization
- AWS PaaS Functions for Middleware, Security, Fleet Management, Alerts/Alarms, etc.
- IoT Device Security: The Importance of Robust Security Measures
- Fundamentals of IoT Device Communication with the Cloud Using MQTT
- Early History of IoT Communication
- Basics of MQTT and Its Application in IoT Devices
- Message Queuing and Pub/Sub Systems
- Connecting IoT Devices to AWS with MQTT (AWS IoT Core)
- Configuring AWS IoT Core for Device Connection
- Sensor Onboarding and Deboarding
- Thing Onboarding and Deboarding
- Connecting AWS IoT Core with AWS Lambda for Computation and Storage
- Integrating AWS IoT Core with AWS Lambda
- Overview of AWS Lambda
- Data Collection from AWS IoT Core Using Lambda
- Connecting a Raspberry Pi to AWS IoT Core for Data Communication
- Python Code on Raspberry Pi to Connect with AWS IoT Core
- Sending and Receiving Data
- Reading Data from Sensors and Uploading to MQTT
- Receiving Data from MQTT to Control a Sensor
- Alert and Event Capture for Government Applications
- Overview of Alerts and Events
- Capturing Alerts and Events
- Rule Templates and Real-Time Alerts
- Asynchronous/Delayed Event Capture Using CloudWatch
- Instant Delivery of Alerts Using AWS SNS
- Sensor Calibration for Government Use
- Understanding Sensor Calibration
- Single-Level Calibration
- Multi-Level Calibration
Requirements
Purpose:
To ensure effective and efficient development of new Internet of Things (IoT) initiatives for government, it is essential to utilize Platform as a Service (PaaS) IoT infrastructure. Leading PaaS IoT platforms include Microsoft Azure, AWS IoT (Amazon), Google IoT Cloud, and Siemens MindSphere. Developers must also be familiar with the necessary PaaS functions required to integrate IoT data into broader ecosystems. In this training course, participants will receive hands-on experience using a Raspberry Pi and a multi-sensor TI SensorTag chip, which features 10 integrated sensors, including motion, ambient temperature, humidity, pressure, and light meter capabilities. Trainees will learn the fundamentals of all IoT functions and how to implement them in AWS IoT PaaS cloud using Lambda functions for government applications.
Testimonials (1)
IOT applications
