AI for Civil & Structural Engineers: A Free CPD Course
A free, self-paced course for civil and structural engineers on using AI across analysis, design, detailing, embodied carbon, code checking and assessment — with the first-principles rigour that structural safety demands.
Please read — independent CPD resource
This is an independent learning resource. It is not affiliated with, endorsed by, approved by or accredited by RICS or any other professional body; any reference to a professional body refers only to its published rules and CPD framework. It is designed to support CPD that you record and self-assess for relevance to your own role.
Content is current as of June 2026. AI tools, prices and regulations change quickly — always verify the latest features and official guidance before you rely on them. Nothing here is legal, contractual or commercial advice; apply your own professional judgement and your firm's policies.
Structural engineering went digital decades ago, but the latest shift is different in kind: software can now attempt work that used to need an engineer's reasoning. Topology optimisers explore forms against carbon and material targets, surrogate models approximate an analysis run in seconds, detailing tools draft reinforcement and connections, and a chat assistant will summarise a Eurocode clause on demand. In a discipline where one wrong number can compromise a structure, the prize and the peril sit side by side.
This free guide introduces our self-paced course, AI for Civil & Structural Engineers, written for engineers who analyse, design and assess structures and infrastructure across UK practice. Read the overview, then download the full course handbook at no cost.
Who this is for
It is aimed at civil and structural engineers — in consultancy, contracting, infrastructure or client-side roles — together with the designers, analysts and technicians who work alongside them. No data-science background is assumed; if you build models, run checks and produce drawings, you can follow every module at your own pace.
Why AI matters for structural work
A large share of an engineer's time goes on tasks AI is increasingly capable of: exploring and optimising forms, building and running analysis models, automating detailing, estimating embodied carbon, and sifting codes and standards. Handled with care, AI frees that time for the engineering judgement that keeps structures safe, robust and low-carbon.
But the stakes here are higher than in most fields. The same features that make these tools powerful let them set the wrong restraints on a model, "optimise" a member that fails a robustness check, detail reinforcement that breaks the rules, or cite a Eurocode clause that does not exist. A surrogate model can be plausible yet wrong, especially outside the range it was trained on. A structural error does not just cost money — it can cost lives, which is why first-principles verification is the heart of this course rather than a footnote, and why it sits squarely within your duties under the ICE and IStructE Codes and the Engineering Council's ethical principles.
What the course covers
The handbook is organised into nine modules that follow the structural workflow, each grounded in real engineering with worked examples, a hands-on activity using sample design data, a knowledge check and a reflection prompt.
| Module | What you'll cover |
|---|---|
| 1. Foundations | The core ideas — including generative optimisation and surrogate models — and the AI already in your tools |
| 2. AI across the structural workflow | Concept and form-finding, analysis and design, detailing, carbon, checking and assessment |
| 3. Hands-on with generative AI | Prompting techniques and ready-made prompts for structural engineers |
| 4. Risk, ethics & governance | Accuracy and rigour, structural safety, intellectual property, and the ICE and IStructE Codes |
| 5. The AI tool landscape | A plain comparison of the main assistants, with free ways to learn each |
| 6. Markdown & prompts | Writing reusable prompts and structured documents for dependable results |
| 7. Structural platforms | AI in ETABS, STAAD.Pro, Tekla, SkyCiv, and generative-design and carbon tools |
| 8. Verifying AI output | Checking models, calculations, detailing and code claims against first principles |
| 9. Implementation | Building a realistic, staged plan to adopt AI in your team |
Across the nine modules this comes to roughly fourteen hours of self-paced study, closing with a final assessment and backed by a glossary, a starter prompt library and a set of references.
How it supports your CPD
The ICE and IStructE both require CPD — the IStructE around 30 hours a year, including annual hours on structural safety and on sustainability, and the ICE under a competence-based framework with mandatory themes covering ethics, safety and risk, and sustainable development. This course is built to contribute a meaningful block, and it speaks directly to the safety and sustainability themes both bodies emphasise. Each module closes with a reflection prompt so you can record how you will apply the learning, and the final assessment gives you evidence to keep.
It is an independent resource — not affiliated with, endorsed by or accredited by the ICE, the IStructE or the Engineering Council. You remain responsible for judging relevance and for recording your CPD correctly.
Get the full handbook
👉 Grab the free handbook — add your email and we will send the download link your way.
It forms part of a broadening range of AI CPD courses for the built environment, joining those already published for quantity surveyors, building surveyors and M&E engineers.
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