Accelerating ML Development: Running Locally or Scaled Out Without Code Changes

Local development can be slow and debugging difficult when training machine learning models. This hands-on lab will demonstrate how to your development experience by enabling you to seamlessly run your training script locally or scaled out on the cloud without any code changes. Attendees will learn best practices for structuring code to isolate the train ing script, leveraging containers for environment consistency, and integrating with Amazon SageMaker.



Dennis Bappert

Dennis Bappert is a Senior Solutions Architect at Amazon Web Services, with a focus on working with enterprises in the media and entertainment industry. He has a passion for helping customers achieve ...olivier-boder

Olivier Boder

Olivier is a Solutions Architect at Amazon Web Services where he supports enterprise customers through their transformative cloud journeys. He empowers organizations to leverage the full potential of ...