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Hello.
If you are creating a model with SageMaker, I think it would be a good idea to check out the tutorial below.
https://aws.amazon.com/tutorials/build-train-deploy-monitor-machine-learning-model-sagemaker-studio/
If you want to deploy the created model to the inference endpoint, I think the following tutorial will be helpful.
https://aws.amazon.com/tutorials/machine-learning-tutorial-deploy-model-to-real-time-inference-endpoint/
A few ones:
You can try [https://aws.amazon.com/getting-started/hands-on/machine-learning-tutorial-get-started-with-your-project-quickly/ ] to get an understanding on how to run ML workloads in Sagemaker .. You can also visit https://github.com/aws/amazon-sagemaker-examples/tree/main where there are tons of ML examples for different scenarios which you can run on Sagemaker including testing out different functionalities of Sagemaker (e.g. Automated Model Tuning , Sagemaker Pipelines etc.)
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