Training course · Google Gemini · Construction & Architecture

Google Gemini for Construction and Architecture

Make productive use of Google Gemini and Gemini in Workspace: Docs, Sheets, Gmail, Meet, custom Gems and NotebookLM for your sources.

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

“Google Gemini for Construction and Architecture” is designed for roles such as Architects, Civil and building services engineers and Site managers and project managers and shows step by step how to use Google Gemini productively, safely and transparently in Construction & Architecture – from the fundamentals to advanced workflows.

For organisations running on Google Workspace, Gemini is the natural AI assistant: it is available as a standalone app and is also built directly into Gmail, Docs, Sheets, Slides, Drive and Meet. In this practical day you learn to combine both access points deliberately. You summarise email threads and draft replies, create document drafts based on existing files in Drive, structure and analyse spreadsheets in Sheets and have Meet take meeting notes automatically – always with a focus on your own day-to-day workflows.

You also build your own Gems: specialised assistants with fixed instructions and knowledge files that standardise recurring tasks across the team. With Deep Research you produce well-founded research reports, and you use NotebookLM as a source-grounded workspace that answers only from your own documents and cites the relevant passages. A dedicated module covers data protection and administration in Workspace environments. You leave with tested prompts, a working Gem and a clear picture of which Google tool suits which task.

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 use Gemini in Gmail, Docs, Sheets, Slides and Meet for your recurring tasks.
  • You write prompts that bring existing Drive files and emails into the context.
  • You build a custom Gem and share it with your team.
  • You work source-grounded in NotebookLM and obtain referenced answers from your own documents.
  • 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 Gemini fundamentals and effective prompts
  • The Gemini app and Gemini in Workspace: access points and use cases
  • Prompts with task, context, format and references to Drive files
  • Web search, Deep Research and checking sources
  • Limitations, hallucinations and critical evaluation of output
Module 2 Gmail, Docs and Slides
  • Summarising email threads and drafting context-aware replies
  • Drafting, rewriting and tailoring documents in Docs
  • Pulling in and combining content from Drive files
  • Creating presentation content and images in Slides
Module 3 Sheets and Meet
  • Structuring tables, generating formulas and cleaning data
  • Analyses, summaries and charts in Sheets
  • Letting Meet take meeting notes automatically
  • Deriving action items and decisions from meeting notes
Module 4 Gems and NotebookLM
  • Creating custom Gems with instructions and knowledge files
  • Testing, improving and sharing Gems with the team
  • NotebookLM as a source-grounded workspace for your own documents
  • Generating summaries, study aids and audio overviews from sources
Module 5 Data protection, administration and rollout
  • Privacy commitments for Workspace customers versus personal accounts
  • Drive sharing settings and how they affect Gemini results
  • Handling personal and confidential data in line with GDPR
  • Usage policies and quality assurance within the team
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 everyday use of Google Workspace (Gmail, Drive, Docs, Sheets); no prior AI knowledge is required. Professional experience in design, construction or project management; no programming skills required.

Technical requirements

A laptop with an up-to-date browser and a Google Workspace account with Gemini features enabled; alternatively a Google account for the Gemini app and NotebookLM.

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.

  • Wed, 25 November 2026 Online Request
  • Thu, 10 December 2026 Bremen Request
  • Fri, 15 January 2027 Online Request
  • Tue, 19 January 2027 Salzburg Request
  • Wed, 27 January 2027 Online Request
  • Tue, 2 February 2027 Kaiserslautern Request

Frequently asked questions

What is the difference between the Gemini app and Gemini in Workspace?

The Gemini app is a standalone chat assistant for research, writing and analysis. Gemini in Workspace works directly inside Gmail, Docs, Sheets, Slides and Meet and can draw on your emails and Drive files. In practice they complement each other: the app for open questions, the integrated version for work on specific documents.

Why would I use NotebookLM in addition to Gemini?

NotebookLM restricts its answers to the sources you upload – policies, studies or project files, for example – and points to the relevant passages. This reduces hallucinations and works well for getting up to speed on a topic, building internal knowledge collections or preparing training material. Gemini is broader in scope and can also draw on the web.

Is my Workspace data used to train Gemini?

For Google Workspace customers, Google commits that content from Gmail, Drive and other services is not used to train models outside your domain without permission. Different rules apply to personal accounts. Either way, GDPR and your internal policies remain decisive – in the course we review the relevant settings together.

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 “Google Gemini 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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