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About How Amazon SageMaker Can Help | On-demand

Course Details
Learn how Amazon SageMaker mitigates the core challenges of implementing a machine learning pipeline. In this course, you’ll learn about using SageMaker notebooks and instances to help power your machine learning workloads. We’ll cover topics across the machine learning pipeline, from algorithm selection, to running training jobs, to deployment, and more.

Topics Covered:
In this course, you will learn:

  • The machine learning pipeline
  • What is Amazon SageMaker and what are its key features?
  • SageMaker model selection
  • Choosing an algorithm
  • Data Formatting
  • Creating and running training jobs
  • Hyperparameter tuning
  • Deployment
  • Inference types

Who Should Attend?
This course is intended for:

  • Developers
  • Data scientists
  • Data platform engineers
  • Anyone interested in learning the basics of Amazon SageMaker – fundamental understanding of machine learning is helpful.

Find out more: How Amazon SageMaker Can Help (awscloud.com)

Event Overview

Event Organiser:

AWS

Event Date:

Monday 31st January 2022

Event Type:

60 Minutes

Event Type:

Webinar

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