The Machine Learning Pipeline on AWS

Learn how to frame business problems as machine learning problems using Amazon SageMaker.

LEVEL

Intermediate

DURATION

4 days

MODALITY

Instructor-led with hands-on labs

INVESTMENT

$3,400 + GST
(AUD / NZD / SGD)

Students will learn how to use Amazon SageMaker to train, evaluate, tune, and deploy ML models.

Hands-on learning is a key component of this course, so students will choose a ML project to work on.

This course is delivered by a certified AWS trainer. Instructor led training has been shown to deliver the best learning outcomes.

What you’ll learn

  • How to select an appropriate ML approach for a business problem
  • How to use the ML pipeline to solve a specific business problem
  • How to train, evaluate, deploy, and tune an ML model in Amazon SageMaker
  • The best practices for designing scalable, cost-optimised, and secure ML pipelines in AWS
  • How to apply machine learning to a real-life problem in your business

Download Course Outline.

Who should attend

  • Developers
  • Solutions Architects
  • Data Engineers
  • Anyone who wants to learn about the ML pipeline via Amazon SageMaker, even if you have little to no experience with machine learning

Course Outline

Get immediate access to the course outline for The Machine Learning Pipeline on AWS. The outline will give you a better feel for the structure of the course and what each day involves.

AWS APN Training Partner

Course Schedule

Can’t find a date in your city? Request a course in your preferred city.

On-Site Training

Need to run this course for 10+ people? We can organise on-site training for you and your team.

Download Course Outline

Complete the form to get immediate access to the course outline for The Machine Learning Pipeline on AWS.

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