• Online, Self-Paced
Course Description

Machine learning and ML APIs are part of the Cloud ML engine. In this course, you'll learn about the various ML APIs and how to implement an app that uses the Vision API.

Learning Objectives

Cloud Machine Learning Engine

  • start the course
  • define the cloud ML engine and its purpose with GCP
  • describe the machine learning workflow and how the process works in various scenarios

Exploring ML APIs

  • define the Vision API and its purpose
  • describe the Natural Language API and its relevance in GCP
  • recall Translation API and Speech API best practices
  • demonstrate the use of various APIs
  • work with the ML REST API using the Translation API

Implementing Vision API

  • use the Cloud Vision API with a Kubernetes Cluster

Practice: Overview of GCP ML APIs

  • describe the use of machine learning, including the common APIs

Framework Connections

The materials within this course focus on the Knowledge Skills and Abilities (KSAs) identified within the Specialty Areas listed below. Click to view Specialty Area details within the interactive National Cybersecurity Workforce Framework.