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Hello, I understand you're trying to setup SageMaker Pipeline triggered from GitHub Actions and you would like some helpful resources to achieving the same.
As per your use-case, more detailed step to step instruction inline to the steps that you mentioned in the 3rd point can be found here[1]. There's an Example [2] that creates a pipeline including steps for pre-processing, training, evaluation, conditional evaluation, model registration and inference. Our GitHub page also has examples for building pipelines on SageMaker [2]. Do visit [3] to see a list of examples. Please go through these resources once as per your use case.
If you have any difficulty or run into any issue, Please reach out to AWS Support[+] (Sagemaker), along with your issue/use case in details and we would be happy to assist you further. [+] Creating support cases and case management - https://docs.aws.amazon.com/awssupport/latest/user/case-management.html#creating-a-support-casehttps://docs.aws.amazon.com/awssupport/latest/user/case-management.html#creating-a-support-case
[1] https://github.com/aws/amazon-sagemaker-examples/blob/main/sagemaker-pipelines/tabular/train-register-deploy-pipeline-model/train%20register%20and%20deploy%20a%20pipeline%20model.ipynb [2] https://docs.aws.amazon.com/sagemaker/latest/dg/define-pipeline.html#define-pipeline-create [3] https://github.com/aws/amazon-sagemaker-examples/tree/main/sagemaker-pipelines [4] https://sagemaker-examples.readthedocs.io/en/latest/sagemaker-pipelines/index.html
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