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.

Speaker

dennis-bappert

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 ...