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Artificial Intelligence
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.
Provider Information
Robert Kubash
University of Louisville
2301 S Third Street
Louisville, KY 40292
Course Overview
None
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):
Competency Areas
Work Roles
Feedback
If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.