Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction
Overview of AWS IoT Greengrass Features and Architecture
- Key concepts and features.
- API operations.
Getting Started with AWS IoT Greengrass
- Setting up the environment.
- Installing Greengrass Core software.
- Configuring Greengrass Core devices.
Managing Greengrass Components
- AWS-provided components.
- Creating custom components.
- Uploading components.
- Interacting with AWS services.
- Component recipe reference.
- Environment variables.
- Running Lambda functions.
Deploying Components to Devices
- Creating deployments.
- Revising and canceling deployments.
- Deployment status.
- Using interprocess communication (IPC).
Managing Data Streams on the Greengrass Core
- Greengrass stream manager.
- Using StreamManagerClient.
- Stream manager configuration.
Performing Machine Learning (ML) Inference
- AWS public ML components.
- Image classification.
- Object detection.
- Customizing ML components.
Protecting Devices and Connections in Greengrass
- Data protection and device authentication.
- Identity and access management.
- Infrastructure security.
- Security best practices.
Logging and Monitoring in AWS IoT Greengrass
- Monitoring tools.
- Logging API calls with CloudTrail.
- Gathering system health telemetry data.
- Checking core device status.
Exploring Advanced Topics for AWS IoT Greengrass
- Greengrass command line interface.
- CLI commands.
- Using AWS IoT Device Tester.
- Tagging resources.
Troubleshooting
Summary and Conclusion
Requirements
- Experience in application development.
- Familiarity with Amazon Web Services (AWS).
Audience
- Developers.
21 Hours
