Amazon Bedrock is a fully managed service provided by AWS that allows you to use generative AI models without dealing with the complexities of training, hosting, and scaling. With Amazon Bedrock, you can integrate advanced AI capabilities into your applications and workflows. This powerful service simplifies the process of incorporating generative AI into your content moderation systems so that you can focus on delivering high-quality results.
In this Cloud Lab, you will build a comprehensive content moderation system using a combination of AWS services. The workflow begins with uploading textual content to an Amazon S3 bucket. This action triggers an event captured by Amazon EventBridge, which sets off a series of automated processes. The EventBridge rule triggers the Amazon Simple Queue Service (SQS) queue. The SQS queue holds the notification until an AWS Lambda function processes it.
As the final step in the workflow, the Lambda function retrieves the message from the SQS queue and invokes an Amazon Bedrock model to moderate the uploaded content. This model processes the content based on your provided parameters to meet necessary quality standards. Once the moderation is complete, the results are stored in an Amazon DynamoDB table for easy access and future analysis.
After completing this Cloud Lab, you will have developed the skills to implement an automated content moderation system using Amazon Bedrock and other AWS services. You will learn how to configure EventBridge and SQS to work together, invoke a generative AI model within AWS Lambda, and manage content using Amazon S3 and DynamoDB.
A high-level architecture diagram for this Cloud Lab is given below:
