Training course · ChatGPT · Construction & Architecture

ChatGPT for Construction and Architecture

Use ChatGPT safely and productively at work: projects, custom GPTs, data analysis, Canvas and privacy settings in team workspaces.

Duration
1 day (7 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

“ChatGPT for Construction and Architecture” is a hands-on course for roles such as Architects, Civil and building services engineers and Site managers and project managers. Rather than learning ChatGPT in the abstract, you work on tasks from your daily routine – with examples, exercises and templates from Construction & Architecture.

For many business teams, ChatGPT is the first AI tool they use every day – yet there is a methodical gap between asking the odd question and achieving real productivity gains. In this hands-on day you learn to apply ChatGPT deliberately to recurring work: drafting and editing text, summarising documents, analysing spreadsheets and structuring decision papers. You work with Projects that keep files and instructions together, with Canvas for reworking longer documents, and with data analysis for Excel and CSV files. Every exercise is based on genuine tasks from your own function.

The second focus is scale and responsibility. You build a custom GPT that knows your templates, tone of voice and review rules, and that colleagues across the workspace can use. We also clarify which data belongs in ChatGPT and which does not, how Team and Enterprise workspaces differ from personal accounts, and which settings matter for model training, memory and sharing. You leave with a personal prompt library, a working GPT and clear ground rules for using ChatGPT responsibly across your organisation.

Construction projects generate vast amounts of documentation: tenders, bills of quantities, specifications, minutes, snagging lists, variations, correspondence with authorities and standards. Architecture practices, engineering consultancies, contractors and clients spend a great deal of time on writing work that generative AI can speed up considerably. AI assistants help draft specification clauses, turn voice notes into site meeting minutes, structure variation claims, write competition and design statements and review extensive contract documents. Image-generating AI supports early design and visualisation stages. Professional and legal liability remains with designers and contractors – AI is a tool, not a substitute for knowledge of standards, structural engineering or site management.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • Architects
  • Civil and building services engineers
  • Site managers and project managers
  • Estimators and planners at contractors
  • Client representatives and public works departments

Typical challenges we address

  • Heavy documentation workload on site and in the office
  • Extensive bills of quantities, contracts and standards
  • Contentious variations, defects and delay notices
  • Skills shortages alongside rising design and sustainability requirements

What you will be able to do

  • You write structured prompts that reliably produce usable results for your day-to-day tasks.
  • You organise your work in Projects and revise longer documents efficiently with Canvas.
  • You analyse spreadsheets and files with data analysis and critically verify the results.
  • You build a custom GPT for a recurring task and share it with your team.
  • Produce minutes, specifications and correspondence more efficiently with AI.
  • Analyse contract and project documents with AI in a structured way and spot risks earlier.
  • Use AI responsibly with due regard to liability, standards and confidentiality.

Course outline

Module 1 Foundations and effective prompting
  • How language models work: strengths, limitations and hallucinations
  • Building effective prompts with role, context, task and output format
  • Refining iteratively instead of starting over: follow-ups and correction loops
  • Choosing models and using web search and deep research appropriately
Module 2 Projects, Canvas and document work
  • Setting up Projects to group files, instructions and chats by topic
  • Summarising, comparing and interrogating long documents
  • Using Canvas to revise text and drafts section by section
  • Templates for emails, reports, minutes and presentation outlines
Module 3 Data analysis with spreadsheets and files
  • Uploading, cleaning and analysing Excel and CSV files
  • Calculating KPIs, replicating pivot logic and explaining variances
  • Generating charts and preparing them for presentations
  • Verifying results: checking calculation steps and sanity checks
Module 4 Custom GPTs for recurring tasks
  • Identifying and scoping good use cases for GPTs
  • Configuring instructions, knowledge files and conversation starters
  • Testing, improving and sharing a GPT within the workspace
  • Maintenance, change tracking for instructions and ownership in the team
Module 5 Privacy, workspaces and governance
  • Personal accounts versus Team and Enterprise workspaces
  • Settings for model training, memory, temporary chats and sharing
  • Handling personal and confidential data in line with GDPR
  • Internal usage policy and quality assurance for AI output
Module 6 Practice lab: Construction & Architecture
  • Drafting specifications
  • Site meeting minutes
  • Variations and correspondence
  • Reviewing contract documents
  • Competition and design statements
  • Defects management
Module 7 Data protection, quality & transfer to daily work
  • Professional and legal liability for design, tendering and site supervision remains with the designer or contractor; AI output must be checked against standards, building regulations and contract terms. Public contracts are subject to procurement law and tender confidentiality, and copyright in designs must be respected.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

Drafting specifications

AI helps write clear and complete item descriptions for bills of quantities, spot gaps and contradictions and structure preliminaries – reviewed by the designer. Gaps are flagged for the designer.

Site meeting minutes

Voice notes and bullet points from site meetings or inspections become structured minutes with findings, responsibilities and deadlines, circulated to all parties. Photos are linked to each item.

Variations and correspondence

Delay notices, variation quotes, notices of concern and replies are prepared objectively and in line with the contract, with reference to the relevant contractual provisions.

Reviewing contract documents

Building contracts, special conditions and specifications are summarised for deadlines, liquidated damages, warranties and departures from standard terms, as a basis for legal review. Differences between contract versions are highlighted too.

Competition and design statements

Design concepts, sustainability strategies and project descriptions for competitions, planning applications or presentations are written concisely and tailored to different audiences. Length limits in competition briefs are respected.

Defects management

Defect reports are classified by trade and location, descriptions standardised and letters requesting remedial work with deadlines prepared. Progress stays transparent for site management and client alike.

Prerequisites

Confident use of office applications and a web browser; no prior AI knowledge is required. Feel free to bring your own non-confidential sample tasks from your daily work. Professional experience in design, construction or project management; no programming skills required.

Technical requirements

A laptop with an up-to-date browser and a ChatGPT account; a paid plan or access to your organisation's Team or Enterprise workspace is recommended for custom GPTs, Projects and data analysis.

Data protection & compliance

Professional and legal liability for design, tendering and site supervision remains with the designer or contractor; AI output must be checked against standards, building regulations and contract terms. Public contracts are subject to procurement law and tender confidentiality, and copyright in designs must be respected.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Fri, 27 November 2026 Online Request
  • Wed, 9 December 2026 Bremen Request
  • Tue, 19 January 2027 Online Request
  • Wed, 27 January 2027 Salzburg Request
  • Tue, 2 February 2027 Online Request
  • Fri, 12 February 2027 Kaiserslautern Request

Frequently asked questions

Do I need a paid ChatGPT licence for the course?

You can follow the fundamentals with a free account. However, features such as custom GPTs, Projects with larger files and advanced data analysis are tied to paid plans or come with far more generous limits there. Ideally you join with access to your organisation's Team or Enterprise workspace, so you practise under real conditions.

May I enter confidential company data into ChatGPT?

That depends on your plan, your contractual terms and your internal policy. In Team and Enterprise workspaces, content is not used for training by default, but GDPR and confidentiality obligations still apply. In the course you learn how to classify and anonymise data and how to choose the right settings.

How is a custom GPT different from a saved prompt?

A GPT bundles persistent instructions, knowledge files and optional tools such as web search or data analysis into a dedicated assistant. Colleagues can use it without any prompting skills and get consistent results. A saved prompt, by contrast, has to be copied and supplemented with context every time, which is far more error-prone.

Can AI produce a bill of quantities?

AI can draft item descriptions, suggest structures and highlight gaps. Quantities, technical requirements and alignment with standards and design remain the responsibility of the designer, who is also liable. In the course you practise using AI as a drafting aid and reviewing results systematically.

Can drawings and plans be uploaded to AI tools?

Only if confidentiality agreements, copyright and your firm's policies allow it and the tool is approved. Strict requirements apply especially for security-sensitive buildings or public clients. The course shows how to work with approved solutions and sanitised documents. Project names and addresses can be removed beforehand.

How much does “ChatGPT for Construction and Architecture” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 1 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart or Kaiserslautern. We can also run the course exclusively for your team.

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