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Automate AI model training and create endpoint whenever the train data is updated using aws Sagemaker

I am searching for good references(videos or texts) to automate my AI (custom NLP model) training job whenever I update my data in s3 bucket i..e, whenever my pipeline detects change in data, it starts training automatically and create the endpoint. I am currently using aws API gateway and lambda to communicate with the endpoint. However, for each time I update my train data, I need to run the training job manually to create new endpoint. I want to automate the later part. Is there anyone in this group who can help me with the relevant resources to achieve this? Thank You!

Automated training can be achieved with Sagemaker Pipelines . There are different approaches possible.

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