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About the event

This fully-remote two day technical workshop is designed to provide architects, developers and machine learning and analytics senior leadership hands-on training for designing production machine learning and deep learning systems using Amazon SageMaker and the rest of the AWS ML stack. AWS Machine Learning Specialists will provide training through lecture and hands-on labs with Amazon SageMaker and go over proven approaches to successfully develop, train, and deploy machine learning models for enterprise applications. Attendees will design and implement a completely new machine learning solution using Amazon SageMaker and their own Python code.

Who should attend?

  • Software Developers and Enterprise Architects new to machine learning
  • Data scientists interested in gaining experience on AWS

Why should you attend?

  • Learn how to leverage Amazon SageMaker to easily build, train, and deploy ML models and the rest of the AWS ML stack
  • Understand best practices around preparing data
  • Get hands-on experience by building an ML solution on Amazon SageMaker

Recommended Prerequisites

Date

July 8th and 9th, 2020

Time

9:00 AM PST - 5:00 PM, PST

Location

Virtual - Amazon Chime


  Sessions
Time Wednesday Thursday
9:00 AM - 12:00 PM PST Topics:
  • AWS ML Introductions
  • Amazon SageMaker Deep Dive
Topics:
  • Introduction to feature engineering on Amazon SageMaker
  • Model evaluation and automatic model tuning on Amazon SageMaker
  • Group work time with expert consultation from AWS
12:00 PM PST Break Break
1:00 PM - 5:00 PM PST Form Breakout Groups:
  • Introduction to machine learning projects
  • Break into teams
  • Group work time with expert consultation from AWS
  • Hands-on Lab
Breakout Groups:
  • Group work time with expert consultation from AWS
  • Teams present! Step through your notebook with the group and share your learnings.