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Artificial Intelligence for Fault Detection and Prediction Training

Enhance your skills in AI-driven fault detection with "Artificial Intelligence for Fault Detection and Prediction Training." Learn how machine learning models improve reliability and reduce downtime in power systems.

Course Overview

Overall Proficiency Level
2 - Intermediate
Course Catalog Number
T101
Course Prerequisites

None

Training Purpose
Functional Development
Management Development
Specific Audience
All
Delivery Method
Online, Self-Paced
  • Online, Self-Paced

Learning Objectives

  • Understand the principles of Artificial Intelligence (AI) for fault detection and prediction.
  • Analyze the AI techniques used in grid fault analysis.
  • Evaluate the performance of AI-based fault detection and prediction systems.
  • Understand the data requirements and processing for AI applications in fault analysis.
  • Discuss the practical implementation of AI for enhancing grid reliability.

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):

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.

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