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AI-Augmented Systems Engineering Essentials

Discover how artificial intelligence enhances traditional engineering practices with "AI-Augmented Systems Engineering Essentials." Learn how AI-driven tools optimize design, decision-making, and system development processes.

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 role of AI in systems engineering
  • Analyze AI-driven decision-making in engineering workflows
  • Examine machine learning applications in complex system design
  • Evaluate AI tools for predictive analytics and risk assessment
  • Explore case studies of AI-augmented engineering solutions

    • 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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