• Online, Instructor-Led
  • Online, Self-Paced
Course Description

This module provides an overview of the fundamental techniques and approaches in artificial intelligence. Topics include the history of AI; knowledge and reasoning; problem solving; learning approaches; practical considerations; and responsible AI. The module uses case studies from cybersecurity and healthcare applications.

Learning Objectives

 Describe the legal, ethical, and privacy considerations associated with the application of AI in cybersecurity and healthcare, Describe the practical considerations for developing and applying AI solutions , Compare the different learning approaches surveyed in the module, Describe the data and knowledge representation approaches surveyed in the module , Describe the evolution of AI

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Cyber Defense Analysis
  • Cyber Investigation
  • Collection Operations
  • Digital Forensics
  • Training, Education, and Awareness

Specialty Areas have been removed from the NICE Framework. With the recent release of the new NICE Framework data, updates to courses are underway. Until this course can be updated, this historical information is provided to give better context as to how it can help you with your cybersecurity goals.

Feedback

If you would like to provide feedback for this course, please e-mail the NICCS SO at NICCS@hq.dhs.gov.