Amazon Web Services (AWS) IoT Greengrass培训

课程编码

awsiotgreengrass

课程时长

21 小时 通常来说是3天,包括中间休息。

要求

  • Experience with application development
  • Familiarity with Amazon Web Services (AWS)

Audience

  • Developers

课程概览

Amazon Web Services (AWS) Greengrass is an open source, cloud service that helps users create and deploy Internet of Things (IoT) applications on devices in homes, cars, hospitals, businesses, and more. AWS IoT Greengrass provides local compute, messaging, sync, data management, and machine learning inference capabilities to edge devices in a secure and cost-efficient way.

This instructor-led, live training (online or onsite) is aimed at developers who wish to install, configure, and manage AWS IoT Greengrass capabilities to create applications for various devices.

By the end of this training, participants will be able to use AWS IoT Greengrass to build, deploy, manage, secure, and monitor applications on intelligent devices.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.

课程大纲

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

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