AWS Augmented AI LAB

 AWS Augmented AI is a service that helps you build and deploy applications with human-in-the-loop capabilities. It allows you to integrate human expertise into your machine learning models to improve accuracy and address biases.

Prerequisites

• An AWS account
• Basic understanding of AWS services

Step-by-Step Guide

1. Create a Human Loop Job

• Launch Augmented AI: In the AWS Management Console, search for "Augmented AI" and launch the service.
• Create Job: Click on "Create job".
• Provide Job Details: Enter a name for your job, select the desired workflow, and configure the input and output settings.

AWS Augmented AI Create Job screen

2. Define Workflow

• Define Workflow: Define the workflow for your job, specifying the steps involved and the actions to be taken by humans and machines.

AWS Augmented AI Define Workflow screen

3. Configure Human Interface

• Configure Interface: Customize the human interface for your job, providing instructions and guidance for the human reviewers.

AWS Augmented AI Configure Human Interface screen

4. Create Job

• Create Job: Once you have configured your job, click on "Create job".

5. Submit Data

• Submit Data: Submit the data to be processed by the job.

6. Monitor Job

• Monitor Job: Track the progress of your job and review the results.

AWS Augmented AI Monitor Job screen

Additional Considerations

• Workflows: Create custom workflows to tailor the human-in-the-loop process to your specific needs.
• Human Interface: Design a user-friendly human interface to improve the efficiency and accuracy of human reviews.
• Quality Control: Implement quality control measures to ensure the accuracy of human reviews.
• Integration: Integrate Augmented AI with other AWS services like SageMaker and Rekognition for end-to-end machine learning workflows.