This is the fourth course in the AWS Internet of Things (IoT) Foundation series. In this course, you will build on the concepts introduced in previous lessons, which covered onboarding single devices, establishing communication with them, collecting and visualizing data received, and managing a fleet of devices. This course focuses on using AWS services to predict failure of IoT devices in an industrial setting. You will also learn how to use AWS services such as AWS IoT Analytics, AWS IoT Rules Engine, and AWS QuickSight to collect, visualize, and analyze data in order to take automated action based on data collected from your IoT devices.
Note: For learners who are new to AWS Internet of Things, we recommend the complete IoT Foundation Series, which contains this course and other foundational knowledge about AWS Internet of Things.
Intended Audience
This course is intended for:
- Data Engineers
- Operations Analysts
- Device Engineers
Course Objectives
In this course, you will learn how to:
- Describe the Industrial Internet of Things (IIoT)
- Use data collected from IoT devices to predict device failure
- Create and view rules using the AWS IoT rules engine
- Use AWS IoT Analytics to visualize and analyze data collected from IoT devices
- Apply the AWS-recommended best practices to avoid failure of IoT devices
Prerequisites
We recommend that attendees of this course have the following prerequisites:
- IoT Foundation: Telemetry
- IoT Foundation: Command and Control
- IoT Foundation: Introduction to Fleet Management
Delivery Method
This course is delivered through:
- Digital training
Duration
1.5 hours
Course Outline
This course covers the following concepts:
- Introduction to the Course
- Business Challenge
- Agenda
- Industrial Internet of Things (IIoT)
- Overview
- Uses Cases
- Predictive Maintenance Architecture
- Introduction to Predictive Maintenance
- Overview
- Technical Path: Lambda
- Technical Path: Amazon QuickSight
- Technical Path: Machine Learning
- AWS Greengrass
- AWS IoT Rules Engine
- Overview
- Permissions
- Elements
- Demonstration
- AWS IoT Analytics
- Introduction & Overview
- Channels
- Pipelines
- Data Stores
- Datasets
- Jupyter Notebooks
- Demonstration
- AWS QuickSight
- Overview
- Use Cases
- Demonstration
- Best Practices for predictive maintenance
