Amazon Web Services (AWS) - The Machine Learning Pipeline on AWS

Overview

On this accelerated AWS The Machine Learning Pipeline on AWS course, you’ll learn to solve real-world business problems using the Machine Learning Pipeline.

In just 3 days, you’ll practice using the Machine Learning Pipeline learning best practices for problem-solving using Amazon SageMaker, and be able to:

• Select and justify the appropriate ML approach for a given business problem
• Train, evaluate, deploy, and tune an ML model in Amazon SageMaker
• Describe some of the best practices for designing scalable, cost-optimised, and secure ML pipelines in AWS

There is currently no exam associated with this accelerated course, but it forms part of the following Amazon learning paths:

• Machine Learning Developer
• Machine Learning Data Scientist
• Machine Learning Data Platform Engineer

Firebrand’s Lecture | Lab | Review methodology will allow you to train at twice the speed of traditional training in a distraction-free environment. As an Official AWS Training Partner, you’ll get access to official courseware and learn from certified instructors.

Audience

This course is ideal for anyone who wants to learn about the ML Pipeline using Amazon SageMaker, especially in one of the following job roles:

• Developer
• Solutions architect
• Data engineer