AI-Augmented Systems Engineering Essentials from Tonex, Inc.

AI-Augmented Systems Engineering Essentials

Online, Self-Paced

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.

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

Design and Development

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.