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AI and Machine Learning for SCADA System Optimization Essentials

Leverage AI for energy infrastructure with "AI and Machine Learning for SCADA System Optimization Essentials." Learn how intelligent algorithms enhance grid reliability and operational efficiency.

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 applications of AI and machine learning in SCADA system optimization.
  • Analyze the benefits of using AI and machine learning in grid management.
  • Evaluate the algorithms and techniques used for AI-driven SCADA optimization.
  • Identify the key data analytics and machine learning tools for SCADA systems.
  • Discuss the future trends in AI and machine learning for grid management.

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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