Get an overview of machine learning and walk through an example use case

This online course introduces AWS customers and current and potential machine learning practitioners to the practical Amazon approach to machine learning (ML). In this first video segment, students learn about the types of problems that Amazon is solving with machine learning and the methods and tools that are used in these solutions.




Digital, Self-paced


40 Minutes

This course teaches you how to:

  • Approach machine learning from a business problem standpoint and work towards a technical solution.
  • Frame your business problem as a machine learning problem.
  • Use ML terminology and describe techniques in real-world business use cases.
  • Understand the end-to-end process of building ML models correctly, from posing the question/problem, collecting data, and building a model to evaluating model performance and integrating it into your application.

This course is intended for:

  • Online business owners
  • AWS customers and partners, including developers, decision makers, and solution architects
  • Amazon employees
  • Potential Amazon employees

We recommend that attendees of this course have the following prerequisites:

  • Undergraduate courses in computer science or business administration
  • A basic understanding of software system development

This course covers the following concepts:

  • What is Machine Learning?
  • The Machine Learning Process
  • Problem Framing
  • Data Analysis
  • Model Building
  • Application
Preview: Introduction to Machine Learning

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