Course Outline
- Basics of IoT Devices for Government
- Architecture of IoT Systems: IaaS vs. PaaS-Based IoT Systems
- Fundamentals of "The Things," Sensors, Business Functions, and Their Mapping to Generate Deliverable IoT Data
- Essential Components of an IoT System for Government: Hardware, Middleware, Security, Fleet Management (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., for Government Use
- IoT Device Security: Understanding the Necessity for Robust Security Measures in Government Applications
- Basics of IoT Device Communication with the Cloud Using MQTT for Government
- Early History of IoT Communication Protocols
- Fundamentals of MQTT and Its Application in IoT Devices for Government
- Message Queuing and Pub/Sub Systems for Efficient Data Transmission in Government Networks
- Connecting IoT Devices to AWS with MQTT (AWS IoT Core) for Government
- Configuring AWS IoT Core to Establish Secure Connections with Your Devices for Government Operations
- Onboarding and Deboarding Sensors in a Government Environment
- Onboarding and Deboarding of "The Things" for Government Applications
- Connecting AWS IoT Core with AWS Lambda Function for Computation and Storage for Government
- Integrating AWS IoT Core with AWS Lambda for Data Processing and Storage in Government Systems
- An Overview of AWS Lambda and Its Role in Government IoT Solutions
- Collecting Data from AWS IoT Core Using AWS Lambda for Government Operations
- Connecting Raspberry Pi with AWS IoT Core and Data Communication for Government
- Sample Code on Raspberry Pi to Connect with AWS IoT Core Using Python for Government Applications
- Sending and Receiving Data in a Secure Manner for Government Use
- Reading Data from Sensors and Uploading to MQTT for Government Operations
- Receiving Data from MQTT to Control Sensors for Government Applications
- Alert and Event Capture for Government
- Understanding Alerts and Events in the Context of Government IoT Systems
- Capturing and Managing Alerts and Events for Government Use
- Rule Templates and Real-Time Alerts for Enhanced Government Operations
- Asynchronous/Delayed Event Capture Using AWS CloudWatch for Government Applications
- Instant Delivery of Alerts Using AWS SNS for Government Communication
- Sensor Calibration for Government
- An Overview of Sensor Calibration in Government IoT Systems
- Single-Level Calibration Techniques for Government Sensors
- Multi-Level Calibration Methods for Enhanced Accuracy in Government Applications
Requirements
Purpose:
This course is designed to equip participants with the essential skills required for developing Internet of Things (IoT) applications on Platform as a Service (PaaS) IoT infrastructure, which is critical for government and other sectors. Leading PaaS IoT systems such as Microsoft Azure, AWS IoT (Amazon), Google Cloud IoT, and Siemens MindSphere are commonly utilized in these environments. The course will provide hands-on training using a Raspberry Pi and a multi-sensor TI SensorTag chip, which includes 10 built-in sensors for motion, ambient temperature, humidity, pressure, light metering, and more. Trainees will gain a comprehensive understanding of all IoT functions and learn how to implement them in the AWS IoT PaaS cloud environment using Lambda functions. This training is tailored to enhance the capabilities of developers working on IoT projects for government and other public sector initiatives.
Testimonials (1)
IOT applications
