I want to run and test Machine learning code on AWS

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:

https://aws.amazon.com/getting-started/hands-on/machine-learning-tutorial-get-started-with-your-project-quickly/

https://aws.amazon.com/blogs/training-and-certification/building-ml-skills-from-zero/#:~:text=Machine%20Learning%20Plan%20–%20AWS%20Skill,machine%20learning%20on%20the%20cloud.

https://github.com/aws-samples/amazon-bedrock-workshop

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.)