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Generative AI Training for Engineers
"Generative AI Training for Engineers" introduces core principles and engineering applications of generative AI, including design automation, simulation, and data generation. As AI output becomes increasingly indistinguishable from human content, cybersecurity risks such as deepfake generation, code poisoning, and prompt injection intensify. This course equips engineers with responsible usage strategies and safeguards for integrating generative AI into secure technical environments without introducing unintended attack vectors.
Course Overview
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Learning Objectives
- Understand the fundamentals of generative AI models and their applications in engineering.
- Explore various generative AI techniques and tools relevant to engineering tasks.
- Learn how to apply generative AI for design, simulation, and problem-solving.
- Evaluate the potential benefits and limitations of using generative AI in engineering workflows.
- While offering powerful tools, understanding the security implications of generative AI outputs and data is vital for maintaining cybersecurity.
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
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.