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 Mapping to Generate Deliverable IoT Data
- Essential Components of an IoT System for Government: Hardware, Middleware, Security, Fleet Manager (Sensors and Devices Management), Sensor Onboarding, Device Onboarding, Geofencing, Time Series Data, Alerts/Alarms, Data Visualization
- AWS PaaS Functions for Middleware, Security, Fleet Management, Alerts/Alarms, etc.
- IoT Device Security: The Importance and Necessity for Government Operations
- Basics of IoT Device Communication with the Cloud Using MQTT for Government
- Early History of IoT Communication for Government Applications
- Fundamentals of MQTT and Its Relevance to IoT Devices for Government
- Message Queuing and PubSub Systems in a Government Context
- Connecting IoT Devices to AWS with MQTT (AWS IoT Core) for Government
- Configuring AWS IoT Core to Connect Your Device for Government Use
- 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 Data Storage Using DynamoDB for Government
- Linking AWS IoT Core with AWS Lambda for Government Operations
- An Overview of AWS Lambda for Government Use
- An Overview of DynamoDB for Government Applications
- Collecting Data from AWS IoT Core and Storing It in DynamoDB Using Lambda for Government Purposes
- Connecting a Raspberry Pi with AWS IoT Core and Simple Data Communication for Government
- Code on Raspberry Pi to Connect with AWS IoT Core Using Python for Government Projects
- Sending and Receiving Data in a Government Context
- AWS SDK/Functions for Middleware Security, Connectivity, and Device Management for Government Use
- Hands-On with Raspberry Pi and AWS IoT Core to Build a Smart Device for Government
- Code on Raspberry Pi to Read Data from Sensors and Send It to AWS for Government Applications
- Code on AWS Lambda to Read Sensor Data, Process It, and Control the Device Based on Sensor Data to Make the Device Smart for Government Use
- Sensor Data Visualization and Communication with a Web Interface for Government
- Building a Simple Angular-Based Application to Visualize Sensor Data and Host It on AWS S3 for Public Access in a Government Context
- SaaS on PaaS for AWS IoT: Building a SaaS Network Around AWS Lambda for Government
- Alert and Event Capture for Government Operations
- Sensor Calibration for Government Applications
- Rule Addition for Alerts and Events in a Government Context
Requirements
Purpose:
This course is designed to equip participants with the essential skills for developing Internet of Things (IoT) solutions on Platform as a Service (PaaS) IoT infrastructure, which is crucial for government and other sectors. Leading PaaS IoT platforms include Microsoft Azure, AWS IoT, Google Cloud IoT, and Siemens Mindsphere. The training emphasizes the importance of understanding the associated PaaS functions necessary to integrate IoT data into broader ecosystems.
During this hands-on course, participants will work with a Raspberry Pi and a multi-sensor TI SensorTag chip, which includes 10 built-in sensors such as motion, ambient temperature, humidity, pressure, and light meter. Trainees will gain a comprehensive understanding of all IoT functions and learn how to implement them using AWS IoT PaaS cloud and Lambda functions. This training is tailored to ensure that participants are well-prepared to develop robust IoT solutions for government applications and beyond.
Testimonials (1)
IOT applications
