Core AI Skills for Built Environment Marketers
€ 600
What you'll learn
This course shows construction and built environment marketing and BD professionals how to use generative AI confidently, safely and effectively across the work that fills the bid calendar and the content calendar: tender and framework responses, case studies, social value narratives, capability statements, competitor research and campaign reporting.
You will move from occasional experimenter to confident practitioner, with reusable patterns you can apply across every project, property, pitch and publication.
- Stop starting every case study, listing, award entry and social post from a blank page
- Turn site photos, programme updates and delivery-team interviews into publish-ready project stories in minutes
- Draft and tailor PQQ and tender responses against your bid library, then sharpen them for each client and framework.
- Research competitors, frameworks and pipeline opportunities using your own data and public sources
- Build reusable content workflows that work across ChatGPT, Claude, Copilot and Gemini
- Know where to trust the output and where your editorial judgement is non-negotiable
Who it's for
Marketing, communications and BD professionals in architecture, engineering, construction and property who want AI handling the repetitive writing, research and reporting that eats into strategic work. No technical background needed.
Course structure
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Each session builds on the last, moving from safe setup through applied skills to real-world use. All exercises use real or synthesised built environment marketing scenarios and run in the session, not as homework.
Session 1 · 4 November, 12pm - 1pm
Setup, safety and first prompts
Get set up across ChatGPT, Claude, Copilot or Gemini. Learn what can and cannot safely go into AI tools: client confidentiality, NDAs on live projects, commercially sensitive tender pricing, image and drawing rights, and where the EU AI Act applies to your work. You write your first structured prompts for real construction marketing tasks, a case study intro and a tender answer, before the session ends.
Session 2 · 11 November, 12pm - 2pm
Content creation and market intelligence
Use deep research tools to produce competitor analysis from public framework awards, planning data, tender notices and company announcements. Track who is winning what, where the pipeline is moving, and which of your case studies and posts are landing. Every task uses real or synthesised construction data and runs in the session.
Session 3 · 18 November, 12pm - 2pm
Workflows, content engines and knowledge bases
Build a content engine that takes one project brief and delivers a case study, a LinkedIn post and a website update in a single pass. Turn your bid library, past tender answers and capability statements into a searchable knowledge base the AI works from directly, so answers come back in your voice and your win themes. Map your bid and content calendar to decide where reusable prompts and agents save the most time.
Session 4 · 24 November, 12pm - 2pm
Hackathon
No new teaching. Bring one real task from your current workload, a live tender answer, a stuck case study or a website update due Friday, and tackle it with AI. Facilitator-led support and peer learning across construction, engineering, architecture and property marketing. Everyone leaves with at least one high-value output they can use on Monday morning.
Go further with the AI Institute
Agent build
This course is where it starts, not where it ends. For teams ready to go further, the AI Institute works directly with construction marketing and bid functions to build automations: case study pipelines from project handover to published page, PQQ and tender drafting against your bid library, and campaign content engines. We hand them back through targeted training so your team can run and maintain them without depending on outside support.
” The AI Institute's Core Skills Programme helped to turn a giant step into a series of much easier to take smaller steps into the wonderful but occasionally terrifying world of everyday AI. Highly recommended.”
About the instructor
Emma Marlow
AI for Marketing specialist
Emma Marlow is a marketing professional with over 20 years' experience and a strong focus on making AI easy to understand. As a skilled prompt engineer, she shows beginners how to use AI tools with confidence and start seeing results quickly.
Frequently asked questions
None at all. Our courses are specifically designed for working professionals, executives, and design teams who want practical AI skills, not a computer science lecture.
- If you are taking a Copilot course, basic familiarity with standard Microsoft 365 apps (Word, Excel, Outlook) is all you need.
- For Claude Code, Claude handles the actual coding while you direct it using plain English.
- For visual or industry-specific paths like Nano Banana or Built Environment, we focus entirely on practical workflows, layout options, and project management—never complex programming.
Yes, absolutely. Security and confidentiality are our highest priorities, especially for our AEC and Finance cohorts:
- Data Privacy: Microsoft Copilot and Claude enterprise plans respect your existing corporate IT permissions. The AI only sees data you are already authorized to access, and your inputs are never used to train public models.
- Course Work: Live workshop sessions use anonymized dummy data so you can focus entirely on mastering techniques in a safe environment. You will then be given clear frameworks to confidently apply those exact same prompts to your live, proprietary project files between modules.
The market is flooded with generic "how to write prompts" videos. Our edge is entirely different:
- Live, Expert Facilitation: You are learning in real-time alongside an executive-level peer group, guided by practitioners from companies actively deploying AI in the real world.
- Always Up-to-Date: The second an AI model drops a new feature, we rebuild our exercises. You are getting a cutting-edge playground, not stale theory.
- Workflow Integration: We don't just teach tools in a vacuum; we show you exactly how they talk to your existing ecosystem - whether that’s integrating Claude with Microsoft 365 or feeding Nano Banana concepts downstream into Revit, Rhino, and Photoshop.
