Practical AI for Real Estate - in collaboration with VARi

Course Overview

VARi knowledge partners in collaboration with Cambridge Finance deliver 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.

We use experiential learning techniques that are both engaging and effective in delivering applicable knowledge fast.

The course is extremely practical and features multiple cases studies designed by a team of world-leading academics from University College London (ranked #1 in the world for Built Environment) specifically for this course.

Each case study demonstrates an application of state-of-art, research-based use of AI techniques to solve a very relatable problem.

All uses cases we present have been developed in-house by academics collaborating with industry experts. They have been extensively tested on real life problems by course instructors.

Course Content

Practical introduction to AI models

This session offers the essential knowledge of what AI is and how it operates, tailored for real estate professionals eager to incorporate AI into their business practices. It is designed to be accessible to everyone, irrespective of technical background, providing a necessary foundation for all subsequent sessions and future independent work with AI. More specifically, the session covers:

  • An accessible overview of artificial intelligence, with a particula0r focus on conversational AI and advanced language models like GPT-4.
  • The distinction between AI and traditional software, highlighting AI's ability to derive rules from objectives, in contrast to the predefined rules in conventional software.
  • The inner workings of neural networks, the AI learning process, and text understanding through techniques such as tokenization, embedding, and self-attention.
  • Strategies for minimizing AI output errors, effective prompting techniques, and an overview of the top AI products.

Market research with generative AI

The session follows an office market research project to explain and demonstrate key skills for leveraging AI in handling documents and reports such as:

  • Prompt engineering
  • AI-powered searching
  • Critical thinking with AI
  • Insights and recommendations with AI
  • Limitations of AI in working with text

It delves into AI's capability in enhancing document analysis, underscoring the significance of context in communication and the development of effective AI prompting strategies.

The session highlights the crucial role of AI in synthesizing vast amounts of market data, drawing objective, context-aware conclusions. It stresses the importance for real estate professionals to not only understand but also effectively utilize these advanced tools for gaining competitive insights.

Analysis, strategy and forecasting 

The session introduces using generative AI in business analysis, in the real estate sector.

It starts by covering the integration of qualitative information in analysis, outlining the benefits and challenges of using qualitative data and how generative AI can enhance precision and speed in this context.

Then, it delves into the creation of strategies with AI assistance, highlighting steps like setting context, defining problems, specifying tasks, and prompt generation for effective strategy formulation.

It considers two key case studies: using AI as a tool to execute strategy generation and using AI as a consultant to develop a complete strategy for a specific problem.

Next, the session explores the application of AI in mathematical operations, contrasting the capabilities of Excel and large language models (LLMs) in handling mathematical tasks.

Finally, it progresses to practical aspects of strategic real estate analysis, like simple valuation, sensitivity analysis, and Monte Carlo Analysis, demonstrating how these can be approached using gen AI. It concludes with a case study on forecasting and building custom models using AI.

Data visualization

This session presents AI capabilities to write and execute code from natural language prompts using the example of creating data visualizations relevant to real estate professionals. In particular, it covers:

  • Basic data processing and analysis tasks using real data and how to turn it into an advanced analysis by entering the right prompts.
  • Creation, customization, and analysis of diverse chart types, including bar charts, pie charts, and time series plots, all made accessible through natural language commands.
  • How to effortlessly generate maps with your own data, regardless of technical skills or background.
  • Animated visualizations of graphs and maps, adding an engaging dimension to data presentation.
  • Development of interactive visualizations such as dynamic dashboards or even interactive maps.

Key takeaways include the ability to handle diverse data types, the use of AI to interpret code and generate visuals, and techniques for creating compelling, interactive data presentations.

Navigating AI in real estate

The session consists of three diverse presentations that delve into advanced aspects of AI and its practical applications in real estate.

First, Monika offers a deeper insight into the philosophical and technical intricacies of AI, discussing future trends, ethical considerations, and the impact of AI on the workforce.

Second, Thomas provides a more hands-on approach, detailing how AI can be pragmatically implemented in business operations, with a focus on efficiency and innovation.

Third, Niko concentrates on the practical aspects of integrating AI into businesses, particularly emphasizing the skills required for successful adoption and the transformation of job roles in an AI-driven corporate landscape.

Together, these lectures provide a comprehensive understanding of AI's potential, challenges, and the evolving dynamics of its integration into various industries.

This course is designed for real estate professionals who are eager to understand the potential of AI and its effect on the industry.   Whether looking to enhance property listings, improve client interactions, predict market trends or automate processes, AI has the power to revolutionise the industry.

John Wanamaker

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.

John Wanamaker
Finance Director
Clarion Partners
Sarah Kelly

A fascinating and practical course for anyone in a real estate role looking to accelerate their work using generative AI.

Sarah Kelly
Finance Director
Mark Unsworth

Supercharge your skills! I highly recommend this thoroughly enjoyable short course. Through engaging examples of everyday tasks Niko and the team of VARi Knowledge Partners 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.

Mark Unsworth
Finance Director
Oxford Economics
William Matthews

Niko's course is an invaluable primer on Al, tailored very specifically to the needs of real estate professionals and researchers. Niko and Monica deliver 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.

William Matthews
Finance Director
Knight Frank
Dates & Prices
DurationDuration CPD HoursCPD Hours LocationLocation LevelLevel DatesDates
1 days 7 Virtual Live only, Face to Face coming soon!/In Person General

Virtual Live Regular

Early Bird Prices
plus VAT

Book Early & Save

Book & Pay min. 30 days before
course start date
Book Now Book Now
Regular Prices
plus VAT

Quality Training

Book and/or pay less than 30
days in advance
Book Now Book Now

Our Featured Resources


You may submit an application to be considered for the scholarship program.