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Create a custom workflow using the API

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Create a custom workflow using the API - Amazon SageMaker AI

When you have created your custom UI template (Step 2) and processing Lambda functions (Step 3), you should place the template in an Amazon S3 bucket with a file name format of: <FileName>.liquid.html. Use the CreateLabelingJob action to configure your task. You'll use the location of a custom template (Creating a custom worker task template) stored in a <filename>.liquid.html file on S3 as the value for the UiTemplateS3Uri field in the UiConfig object within the HumanTaskConfig object.

For the AWS Lambda tasks described in Processing data in a custom labeling workflow with AWS Lambda, the post-annotation task's ARN will be used as the value for the AnnotationConsolidationLambdaArn field, and the pre-annotation task will be used as the value for the PreHumanTaskLambdaArn.

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