aws/amazon-sagemaker-examples ? reverse-engineered prompt

Build me a clean SageMaker examples repository that feels like the official AWS notebook library.

I want it organized by the ML lifecycle, with sections for training, model customization, evaluation, inference, and MLOps. The main goal is to give people self contained Jupyter notebooks they can open and run to learn how to build, train, tune, deploy, and operate models with Amazon SageMaker.

Please make the README easy to follow, with a short intro, setup steps, and a simple guide to where each kind of example lives. The notebooks should be practical and clearly labeled, and they should show real SageMaker workflows like managed training, fine tuning, evaluation, deployment, and pipelines. If useful, look up the current SageMaker docs online so the examples match modern best practices.

I also want the repo to feel polished, with consistent structure, good navigation, and enough starter content that someone can jump in and run an example without having to figure everything out first.