3 Days

MLOps Engineering on AWS

Learn to bring DevOps-style practices into the building, training, and deployment of ML models

Could your Machine Learning (ML) workflow use some DevOps agility? MLOps Engineering on AWS will help you bring DevOps-style practices into the building, training, and deployment of ML models. ML data platform engineers, DevOps engineers, and developers/operations staff with responsibility for operationalizing ML models will learn to address the challenges associated with handoffs between data engineers, data scientists, software developers, and operations through the use of tools, automation, processes, and teamwork. By the end of the course, go from learning to doing by building an MLOps action plan for your organization.

What you'll learn

  • How to deploy your own models in the AWS Cloud
  • How to automate workflows for building, training, testing, and deploying ML models
  • The different deployment strategies for implementing ML models in production
  • How to monitor for data drift and concept drift that could affect prediction and alignment with business expectations
  • And much more

Who should take this course

  • ML data platform engineers
  • DevOps engineers
  • Developers/operations staff with responsibility for operationalizing ML models

What experience you'll need



Course overview

Level: Intermediate
Type: Classroom (virtual and in person)
Length: 3 days

Languages offered

This course is offered in the following languages: Bahasa Indonesia, English, French (France), German, Italian, Japanese, Korean, Portuguese (Brazil), Simplified Chinese, Spanish (Latin America), Spanish (Spain), and Traditional Chinese.

We regularly update our courses based on customer feedback and AWS service updates. As a result, course content may vary between languages while we localize these updates.

Need more information?

Download the course outline for more information about what this course covers.

Looking for private training for your team?

With AWS-delivered private training, your team will learn actionable best practices together, tailored to your specific use cases.

Thinking about taking an exam?

Find a related exam to reinforce your learning.

AWS Certified Machine Learning - Specialty

180 minutes