The best way to get real estate work done with AI

Cowork - getting started with the best AI for real estate 

AI is moving beyond chat. With tools such as Copilot Cowork, professionals can increasingly delegate complete pieces of work: analysing folders, updating models, reviewing documents, researching information, producing spreadsheets and drafting outputs.

This practical course shows what that looks like in real estate.

Rather than discussing AI in the abstract, we work through real-world workflows and show the prompts, files and outputs behind them. Participants then receive practice exercises so they can reproduce the examples themselves.
Click here to play part 1 of the course (for free)
Enroll CHF 65 CHF 49

Six real estate workflows.

The course is based on practical real estate problems to demosntrate Cowork capabilites.

Real files

Files that allow completing the excercises that simulate the complexity of everyday work in real estate.

Real prompts

Prompts you can copy and paste to experiment with real workflows.

Hands-on practice

No technical background or coding required

The team behind the course

Nikodem Szumillo

Nikodem is an Associate Professor at UCL and Director of the Bartlett Real Estate Institute at the world's top-ranked built environment faculty. He holds a PhD from Cambridge University and serves as an academic visitor at the Bank of England, with his research featured in outlets including the Financial Times, Harvard Business Review, and Bloomberg.

Monika Szumillo

Monika Szumilo is a Physics Lecturer at UCL and Fellow of the Higher Education Academy, specializing in practical AI and Machine Learning. She holds a PhD from Cambridge University and has been teaching AI and developing ML algorithms at Imperial College London and UCL since 2020, delivering complex concepts across Physics, Engineering, and Business disciplines.

Dr. Thomas Wiegelmann FRICS

Dr. Thomas Wiegelmann FRICS brings over 25 years of real estate experience, having co-founded BLUE Asset Management in 2009, which grew to €1.2 billion in AuM before being acquired by Schroders in 2019. An Honorary Professor at UCL, he holds a PhD from Bond University and is a Harvard Business School and INSEAD alumnus .
“Supercharge your skills! I highly recommend this thoroughly enjoyable short course. Through engaging examples of everyday tasks, Niko and the team at VARi Knowledge Partners demonstrate the practical application of generative AI for real estate. A must-attend course for any professional who wants to harness this technology for their business.”
— Mark Unsworth, Associate Director of Real Estate Economics, Oxford Economics
“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.”
— Tom Kynaston, Associate – Research and Strategy, M&G Real Estate
“Niko’s course is an invaluable primer on AI, 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 a wide spectrum of existing skills and understanding. It is a thoroughly enjoyable and insightful programme.”
— William Matthews, Partner, Head of Capital Markets Research, Knight Frank

Interested in in-house training or corporate packages?

We offer custom training, team discounts, and branded versions of this program for organisations. Use the form below to get in touch.

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