AWS Academy Machine Learning Foundations

Self-Study

AWS Academy Machine Learning Foundations introduces students to the concepts and terminology of Artificial Intelligence and machine learning. By the end of this course, students will be able to select and apply machine learning services to resolve business problems. They will also be able to label, build, train, and deploy a custom machine learning model through a guided, hands-on approach.

Course Objectives

Upon completion of this course, students will be able to:

• Describe machine learning (ML)
• Implement a machine learning pipeline using Amazon SageMaker
• Use managed Amazon ML services for forecasting
• Use managed Amazon ML services for computer vision
• Use managed Amazon ML services for natural language processing.

Course Outline

• • Module 01: Welcome to AWS Academy Machine Learning Foundations
  • Module 02: Introducing Machine Learning
  • Module 03: Implementing a Machine Learning pipeline with Amazon SageMaker
  • Module 04: Introducing Forecasting
  • Module 05: Introducing Computer Vision
  • Module 06: Introducing Natural Language Processing
  • Module 07: Course Wrap-Up