Deploy a model trained on Amazon SageMaker in a multicloud environment with ONNX

[rajavaid77]

Issue #, if available: https://issues.amazon.com/ML-14353

Description of changes: Adding notebook and supporting code to support the blog titled "Train and deploy ML models in a multicloud environment using Amazon SageMaker" that demonstrate how customer operating in a multicloud environment can use Amazon SageMaker to train their models and deploy their models to another cloud provider

Testing done: Ran all the cells and verified it runs end-to-end

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

• [ X] I have verified that my PR does not contain any new notebook/s which demonstrate a SageMaker functionality already showcased by another existing notebook in the repository
• [ X] I have read the CONTRIBUTING doc and adhered to the guidelines regarding folder placement, notebook naming convention and example notebook best practices
• [ X] I have updated the necessary documentation, including the README of the appropriate folder as well as the index.rst file
• [X ] I have tested my notebook(s) and ensured it runs end-to-end
• [ X] I have linted my notebook(s) and code using black-nb -l 100 {path}/{notebook-name}.ipynb

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

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• CodeBuild project: SageMakerNotebooksProd-USWEST2-sagemaker-examples-code-formatting
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