Prepare Your Engineering Practice for AI, Automation, and Emerging Professional Risk
Build Practical AI Skills for Professional Engineering Practice (15 CE/PDH)
This bundle helps professional engineers build practical AI skills while addressing the risks that accompany them. Learners will examine real-world applications, prompt design, documentation, cybersecurity, quality control, ethical duties, responsible charge, and future changes to engineering work and licensure. The goal is not simply to use AI more often, but to use it more deliberately, efficiently, and responsibly.
Course Syllabus
Professional Engineering Artificial Intelligence Course Bundle
Course 1 — Artificial Intelligence in Engineering Practice
Introduces practical uses of AI for engineering research, drafting, calculations support, code review, design exploration, reporting, and workflow efficiency while emphasizing verification and professional judgment.
Course 2 — Engineering Ethics in the Age of AI
Examines how core engineering ethical duties—including competence, public protection, responsible charge, truthfulness, fairness, and accountability—apply when AI contributes to professional work.
Course 3 — Prompting, Documentation, and Recordkeeping for AI-Assisted Engineering Work
Explains how to structure effective prompts, control source information, document material AI assistance, preserve appropriate records, and support traceable professional review.
Course 4 — Cybersecurity and Confidentiality Risks of AI Tools in Engineering
Addresses the risks created by prompts, uploads, integrations, connected tools, AI-generated files, and automated actions, with emphasis on data classification, access control, confidentiality, and incident response.
Course 5 — AI, Automation, and the Future of Engineering Licensure
Explores how AI and automation may affect competence, responsible charge, supervision, education, experience, examinations, continuing professional development, and the future role of licensure.
Course 6 — Leveraging Artificial Intelligence in Professional Engineering Practice
Provides an integrated framework for selecting AI tools, designing workflows, comparing major platforms, applying AI to engineering tasks, verifying outputs, managing risk, and improving professional productivity.