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Introduction to Large Language Models for Civil Engineers
Introduction to Large Language Models for Civil Engineers



Date & Time


Available on Demand?





£150+ VAT

Artificial intelligence, especially large language models (LLMs), is transforming the landscape of civil engineering. This seminar will delve into the intricacies of these models, their origins, and their application in civil engineering.

This event is designed for civil engineering professionals keen to harness the capabilities of AI, particularly large language models, in their projects. Attendees will gain a thorough understanding of these models, with an emphasis on their application in civil engineering.

The following areas will be covered:

1. Introduction to Artificial Intelligence and the Evolution of Large Language Models (LLMs): Overview of artificial intelligence and its evolution.

2. How Do LLMs like ChatGPT Work? Overview of the current technological underpinnings including the transformer architecture and training requirements.

3. Proprietary vs Open-Source Models: Distinguishing between proprietary models like OpenAI's GPT series and open-source alternatives such as LLAMA 2 and Falcon.

4. Effective Prompting Techniques: Types of prompting and how to optimise prompts to get the best results from models.

5. Fine-Tuning Deep Dive: The what, why, and how of fine-tuning large language models for specific use cases.

6. Vector Stores: The role of vector stores to provide the LLM with access to your data.

7. Autonomous Agents: How to develop agents to automate complex tasks

8. Use Cases in Civil Engineering: Exploring the application of large language models in the civil engineering domain to automate routine (and non-routine) tasks.

9. Training In-House Models: Understanding the accessibility and implications of training a bespoke model for your organisation.

10. Small vs Big Models: Weighing the pros and cons of using smaller models versus their larger counterparts.

11. Data Quality: The continued significance of high-quality data and innovative methods for its procurement.


Dr Mike Rustell EngD CEng MICE is a seasoned civil/structural engineer and data scientist with extensive experience in the maritime, LNG, and nuclear sectors. Mike began his career as a Research Engineer at HR Wallingford, later joining AECOM as a Maritime/Senior Maritime Engineer and subsequently as the EMEA Lead for Data Science. In this role, he was instrumental in shaping the global strategy for machine learning and data, leading global machine learning projects. Mike currently serves as a Lecturer in Structural Engineering at Brunel University London, where he teaches structural analysis and finite element analysis. His research focuses on design automation using artificial intelligence. Additionally, Mike is the Director of Inframatic, an AI consultancy for civil engineering that specialises in developing LLMs for companies using their proprietary data. Mike is the Director of Inframatic - an AI consultancy for civil engineering that specialises in implementing LLMs for companies using their proprietary data.


Mike Rustell




Attendance certificates are available on request after the completion of the webinar.


The format of this event will be a webinar using "Zoom Webinars".


The cost of registering for this webinar will be £150+VAT​.

​If you would like to register and pay now, please click the button below "Register Now". If you would prefer an invoice (for VAT exemptions/ purchase order requirement etc...) please click the button "send me an invoice" and complete the registration form, and our admin team will be in touch.

We are now accepting PayPal. Want to pay in EUR using credit card? Email us at to discuss how.

Group rates are available on all our courses. If you would like to discuss what group discounts we have available you can reach us at


Gave me a comprehensive information about how to start implementing AI in the Civil Engineering Industry, what are the most useful algorithms typically implemented and where to start improving my skills in the field.

The course was brilliantly presented and Mike provided all the information clearly and comprehensively. I got everything I was looking for when I signed up.

I got a better understanding of the complexity of the subject. And real time projects and development of each was particularly interesting.
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