Take your ML projects from idea to production

AWS Dev Day Machine Learning Edition dives deep into the latest developments in machine learning (ML) and demonstrates how you can take your ML projects from idea to production. We’ll introduce Transformers architecture and discuss practical applications in Computer Vision and Protein Sequence Classification. We’ll also share best practices for the implementation of distributed model training and model pruning to optimize your models for production. Key concepts will be conveyed via demos.

Technical Level

Session content varies from Level 300 (Advanced) to Level 400 (Expert). More information about technical levels can be found here. Note that the sessions require advanced skills in the respective domains to follow the content.

Who Should Attend

AWS Dev Day Machine Learning is ideal for data scientists, ML engineers, and practitioners who want to build, train, tune, and deploy scalable, performant, secure, and resilient ML projects in the cloud.

Prerequisites:

AIM314

Train and tune ML models to the highest accuracy using Amazon SageMaker

AIM403

Train ML models faster and with better insights using Amazon SageMaker Debugger

AIM305

How to use fully managed Jupyter notebooks in Amazon SageMaker

Please check the session descriptions on the registration page for detail on prerequisites


Agenda


Live Q&A Session
Our experts will be available to answer all your Machine Learning related question via live Q&A broadcast!
September 30th, 10:00 - 12:00 GTM | 11:00 - 13:00 BST | 12:00 - 14:00 CEST