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
- Greengrass Core software installation
- Setting up 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 with application development
- Familiarity with Amazon Web Services (AWS)
Audience
- Developers
Delivery Options
Private Group Training
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- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €6840 online delivery, based on a group of 2 delegates, €2160 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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IOT applications