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Artificial Intelligence for Structural Engineers Certificate Program: Building AI Competency for Professional Practice

AI Is Already Here — Are You Ready?


AI is already changing how structural engineers work. The question is whether that change happens with a plan or without one.


Across five units, you’ll move from foundational AI literacy for SEs through hands-on tool use, honest treatment of where AI fails, discipline-specific applications like seismic and lateral design, and the governance and policy questions your firm is already asking.


The course is fully on-demand, so you move through it on your own schedule. Complete all five units and the final assessment to earn 11.5 PDHs.


Members: $895. Non-members: $1,095. Firms enrolling 5 or more people get 10% off total enrollment fees. Contact NCSEA’s Office (ncsea@ncsea.com).

 

 

Thank you to our Sponsor:

Interested in partnering with NCSEA? Contact Monica Shripka for sponsorship and other opportunities.

Duration: 11.5 Hours

CE Credits: 11.5

$1,095.00

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Description

What is covered in this course?

Unit 1: AI Foundations for Structural Engineers

  • Understand what AI is — and isn’t — including the real distinctions between AI, machine learning, LLMs, and computer vision
  • Learn where AI fits (and where it doesn’t) in the structural workflow
  • Recognize the security risks, misleading vendor claims, and unsafe outputs to watch for
  • Understand how AI models are trained and where their accuracy limits come from


Unit 2: AI in Practice — Workflows, Tools, and Professional Application

  • Use general-purpose AI tools for drafting, summarizing, and technical writing support
  • Apply AI to spreadsheet auditing and catching tabular errors
  • Navigate drawing, specification, and code search tools with a verification protocol
  • Evaluate tool tiers and data privacy considerations before adopting anything new


Unit 3: AI Literacy for the Skeptical Engineer

  • Learn the real ways AI systems fail, and where the SE-specific training data gaps are
  • Build stronger prompts for load path questions, code research, spec drafting, and peer review
  • Apply a structured verification process by output type — narrative, numerical, and code research
  • Get ready-to-use language for talking about AI with clients, plan reviewers, contractors, and licensing boards


Unit 4: AI Applied — Discipline-Specific Practice and Professional Integration

  • See how AI applies to seismic and lateral system design and analysis
  • Use AI for code compliance and regulatory research across jurisdictions
  • Apply peer-review standards to AI-assisted work from other engineers
  • Evaluate discipline-specific AI tools for professional suitability


Unit 5: Governance, Policy, and Change Management

  • Understand firm-level AI governance structures and your role within them
  • Recognize the cultural and operational realities of AI adoption — and your role in leading or supporting it
  • Learn the essential components of a firm AI use policy, including E&O and licensing considerations
  • Build your own professional AI practice framework as the course’s capstone deliverable

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