AI Application for Real Estate
AI Application for Real Estate
Cambridge Finance is delivering this course which is an essential primer on generative AI for real estate professionals. It covers the basics of what AI is and how to use it in an accessible way tailored to the real estate industry. It requires no technical knowledge or AI skills.
You will discover how Artificial Intelligence (AI), automation, and programming can transform real estate financial modelling and decision-making. This hands-on course is designed for real estate professionals, analysts, and investors looking to enhance their efficiency with AI tools, Excel automation (VBA), Python scripting, and Java applications.
What You Will Learn
✅ Apply AI tools for real estate market research, marketing, and workflow automation
✅ Use VBA to automate Excel models and perform dynamic sensitivity analysis
✅ Leverage Python to extract, clean, and analyse real estate financial data
✅ Develop a web-based IRR calculator using Javascript for interactive investment analysis
✅ Automate financial models with AI-generated code
✅ Build a custom AI-powered financial modelling project
- Overview
- Prices & Dates
- Content
- Participants
- Testimonials
Overview of AI Applications for Real Estate Course
This two-day course is designed to equip real estate professionals with practical knowledge and hands-on experience in applying AI to real estate analysis, financial modelling, and business strategy. It covers key AI concepts, generative AI techniques, automation in financial modelling, and data visualisation, enabling participants to harness AI-driven efficiencies in their workflows.
All uses cases we present have been developed in-house by academics collaborating with highest-calibre academics and industry practitioners and experts. They have been extensively tested on real life problems by course instructors.
Pricing
Prices exclude VAT (if applicable) Contact us for Partner discounts.
In Person
Attend the course in person, in Central London.
£1,190
Early Booking
SAVE 10%
Virtual Live
Attend the course, live anywhere in the World.
£990
Early Booking
SAVE 10%
On Demand
Instant download of course materials & videos.
£790
Lifetime access
In House
Book this course for your in house team.
Price on request
Dates
AI Application for Real Estate | 9 & 10 Oct 2025 | In-person & online
9 & 10 Oct 2025
09:30 AM - 04:30 PM
The Cumberland Hotel, London & Virtual Online Live
AI Application for Real Estate | 11 & 12 Dec 2025 | In-person & online
11 & 12 Dec 2025
09:30 AM - 04:30 PM
The Cumberland Hotel, London & Virtual Online Live
Course Content
Day 1- AI for Real Estate Practitioners
Introduction to AI in Real Estate
- What is AI? Demystifying AI for real estate professionals
- AI vs. traditional software: Practical real estate examples
- Overview of AI tools: ChatGPT, Claude, Gemini, CoPilot, Midjourney, DALL·E
- Live demonstration: AI-assisted vs. traditional property analysis
AI for Market Research & Property Analysis
- Leveraging AI for market research and trend analysis
- Effective prompt engineering for real estate insights
- AI-driven sentiment analysis and price predictions
- Hands-on Practice:
- Use AI to analyse a local market
- Generate price trend predictions
- Create a competitor analysis report
AI-Powered Marketing & Lead Generation
- AI for property listings and content creation
- Visual marketing with AI-generated images
- AI-driven chatbots and automated email sequences
- Hands-on Practice:
- Write AI-enhanced property listings
- Generate social media content plans
- Create AI-powered marketing visuals
AI for Legal Document Analysis
- AI in transactions: Risks and opportunities
- AI-assisted contract analysis and lease abstraction
- When to use AI vs. professional legal review
- Hands-on Practice:
- Summarise lease agreements with AI
- Extract key terms from contracts
- Compare agreements using AI
AI for Workflow Automation & Productivity
- Identifying automation opportunities in real estate
- AI tools for task automation, CRM, and meeting summaries
- Cost-benefit analysis of AI implementation
- Hands-on Practice:
- Map out automation opportunities in your business
- Set up AI-driven task automation
Capstone Project: Your AI Implementation Plan
- Identify key AI implementation areas for your business
- Develop a 30/60/90-day AI adoption strategy
- Define success metrics and integration roadmaps
Day 2 – AI in Real Estate Financial Modelling & Analysis
Automating Excel Models with VBA
Use Case: Automated Sensitivity Analysis for Property Investment
- Introduction to VBA for financial modelling
- When to use VBA vs. Python vs. Javascripts
- Basics of macros and custom VBA scripts
- Using ChatGPT to generate and improve VBA code
- Building a simple Excel automation tool:
- Automate a sensitivity analysis for IRR and NPV based on different rent levels
- Create a macro button to execute different investment scenarios
- Hands-on exercise:
- Modify and test VBA code with AI assistance
AI-Powered Data Analysis with Python
Use Case: Automating Data Extraction & Analysis
- Why use Python in real estate financial modelling?
- Overcoming Excel limitations
- Using ChatGPT for Python scripting
- Building a Python tool:
- Extract and clean data from an Excel real estate model
- Perform automated analytics (average rent, NOI trends, IRR calculations)
- Output results back into Excel
- Hands-on exercise:
- Adapt the Python script to their own model
Creating a Web-Based IRR Calculator with Javascript
Use Case: Interactive Investment Analysis
- Introduction to Java for financial applications
- When to use Java over VBA/Python
- Using ChatGPT to generate and optimise Javascript code
- Building a Java-based IRR calculator:
- User inputs: Purchase price, rent, expenses
- Output: Monthly cash flow, IRR, ROI, cap rate
- Simple interactive interface
- Hands-on exercise:
- Modify the Java tool to include additional financial metrics
AI-Powered Financial Model Automation
- Objective: You will use your acquired knowledge during the day to automate a part of a real estate model using AI-generated code (VBA, Python, or Javascript)
- Project ideas:
- Automate a financial metric calculator (IRR, NPV, DSCR)
- Create a customised scenario generator for different rent levels
- Build an AI-driven data extraction tool to clean and format property datasets
- Develop a simple chatbot for real estate financial queries
- Hands-on:
- Participants design, build, and test their projects
- AI-assisted troubleshooting and debugging
Project Presentations & Course Wrap-Up
Q&A and next steps
Participants showcase their projects
Explain their AI-assisted automation and improvements
Feedback & discussion
Key takeaways & future AI opportunities
Who should attend this course
This course is designed for real estate professionals who are eager to harness the power of artificial intelligence to gain a competitive edge in the industry. Whether you are a seasoned veteran or new to the field, this course offers valuable insights and practical tools to elevate your real estate business.
- Real Estate Analysts & Financial Modellers – Professionals working with Excel, Python, and other financial modelling tools who want to automate and improve workflows with AI.
- Asset & Investment Managers – Those making data-driven investment decisions who seek AI-powered insights for better market analysis and forecasting.
- Real Estate Consultants & Brokers – Individuals looking to enhance market research, deal structuring, and client presentations using AI-generated insights.
- Developers & Property Managers – Professionals interested in optimising asset management and market positioning through AI-assisted decision-making.
- Technology & Innovation Leads in Real Estate Firms – Those responsible for integrating AI into company processes, ensuring competitive advantage.
- Finance & Valuation Professionals – Those using financial models for property valuation, looking to automate calculations and enhance efficiency.
No prior programming knowledge is required, making the course accessible to professionals of all technical backgrounds.
Key Characteristics:
- Curious and Innovative: Individuals who are open to adopting new technologies and are excited about the potential of AI in transforming the real estate landscape.
- Data-Driven: Participants who value data and understand its importance in making informed business decisions.
- Forward-Thinking: Professionals who are looking to stay ahead of industry trends and position themselves as leaders in the market.
- Problem-Solvers: Those who seek practical solutions to common real estate challenges through the use of advanced AI tools.
- Collaborative: Willing to engage with peers, share experiences, and learn from industry experts.
Benefits of Attending:
- Hands-On Learning: Gain practical experience with AI tools and techniques specifically tailored for real estate applications.
- Expert Insights: Learn from industry leaders and AI specialists about the latest trends and technologies.
- Enhanced Skills: Develop a strong understanding of how AI can be applied to improve various aspects of the real estate business.
- Competitive Advantage: Equip yourself with the knowledge and tools to stand out in a competitive market and drive business growth.
Join us to explore how AI can revolutionize your approach to real estate and unlock new opportunities for success!
Andreas Trumpp, Colliers
The course is excellently structured and has taken me to the next level in terms of content. The examples discussed are very practical and can be easily applied to my daily tasks. Well worth it!
Paul Popescu, ACCUMULATA
Thanks for the great introduction and inspiring use cases. The course really broadened my perspective on AI and the tasks it can level. I appreciated the high-level approach, unlike other courses that focus on flashy tricks. The deep dive into LLM capabilities and, even more importantly, limitations was especially valuable. It was also great to see prompt engineering get the attention it deserves.
Tom Kynaston, M&G Real Estate
This insightful course provided me with a comprehensive understanding of how AI will transform research and analysis within the commercial real estate industry. Niko and his team effectively demonstrated practical applications of AI that were easy to follow and which I have been able to immediately integrate into my working practices.
Ben Brandon-King, Ferguson Partners
Thank you for the excellent and enjoyable course. Despite the time zone difference in Singapore, the sessions flew by (a good sign!). There are many applications for my work, and I’m excited to put the lessons into practice.
Oxford Economics
I highly recommend this thoroughly enjoyable short course. Through engaging examples of everyday tasks the instructors demonstrate the ‹practical application of generative Al for real estate. A must attend course for any professional who wants to harness this technology for their business.
Head of Commercial Insight, Knight Frank
The course was an invaluable primer on Al, tailored very specifically to the needs of real estate professionals and researchers. The instructors delivered the course in a clear, approachable style that is highly conducive to learning in teams with where a wide spectrum of existing skills and understanding exists. It is a thoroughly enjoyable and insightful programme.
Sarah Kelly, JLL
A fascinating and practical course for anyone in a real estate role looking to accelerate their work using generative AI.
John Wanamaker, Clarion Partners
I absolutely enjoyed the class. Very useful information and I particularly enjoyed the items you were excited to demonstrate. That was super helpful. I would have loved to see more of your examples. Your explanation and approach to prompting was excellent!! Really useful.
