This lab provides you access to a unified IDE and use ML-powered Amazon CodeWhisperer to increase developer productivity by providing code recommendations in real time based on plain English comments and existing code.
Objectives
By the end of this lab, you will be able to do the following:
- Configure CodeWhisperer in Visual Studio Code IDE.
- Generate CodeWhisperer suggestions using prompts.
- Implement the Lambda function to upload an image to Amazon S3.
- Implement the Lambda function to process the image and store the results in DynamoDB.
- Inspect the functionality of application.
Prerequisites
It is recommended that the learner be familiar with the AWS Console, Lambda, and Visual Studio Code.
Audience
DevelopersData Scientist
DevOps Engineers
Course outline
Task 1: Configure CodeWhisperer in Visual Studio Code IDETask 2: Use Amazon CodeWhisperer to generate code
Task 3: Implement the Lambda function to upload an image to S3
Task 4: Implement the Lambda function to process the image and store the results in DynamoDB