Intermediate AI for Real Estate
The second part of our asynchronous version of Practical AI for Real Estate building on the foundations from part 1.
Discover advanced use cases, learn how to work with AI agents, RAG, advanced data analysis and more with no coding skills required. Start at any time, work at your own pace.
Live tutor support available throughout.
Delivered and certified in partnership with the Swiss Banking Institute at University of St. Gallen.
Discover advanced use cases, learn how to work with AI agents, RAG, advanced data analysis and more with no coding skills required. Start at any time, work at your own pace.
Live tutor support available throughout.
Delivered and certified in partnership with the Swiss Banking Institute at University of St. Gallen.
Write your awesome label here.
start any time, work at your own pace
approximate learning time: 4h
practical use cases
from industry experts
from industry experts
no technical
background required
background required
Still unsure?
Read what our past participants say about the course.
Course outline
Smarter ways to find and use information
AI search and RAG
- Learn the difference between simple AI search, deep research with agents, and RAG (retrieval-augmented generation).
- Discover how to connect AI directly to your own property files, permits, and market reports.
- See how agentic search goes beyond Google-style queries to provide thorough, multi-step research.
- Master practical strategies to choose the right search method for fast answers vs. in-depth analysis.
documents to images—seeing beyond text
Multimodal AI
- Discover how multimodal AI can work with text, images, PDFs, and more.
- Learn how AI “sees” property photos, site plans, and reports—and what that means for analysis.
- Understand the challenges of working with PDFs and other human-friendly, machine-unfriendly formats.
- Explore how diffusion models generate images, and pick up prompting strategies for creating high-quality visuals.
Agentic AI
- Learn how AI agents can tackle multi-step real estate projects, not just simple questions.
- Discover how agents act like a virtual junior analyst, combining multiple tools and data sources.
- Learn how AI can perform valuation tasks, from quick calculations to more nuanced risk analysis.
- See how mastering AI-powered valuation tools gives you a competitive edge in property markets.
Turning data into decisions
Data Analysis and Coding
- Learn how to use AI forecasting tools to anticipate real estate prices, risks, and market trends.
- See how AI can transform raw property data into interactive maps, graphs, and dashboards.
- Practice creating clear visualizations that make complex insights easy to present to clients and stakeholders.
- Understand how to combine statistics, data analysis, and visualization for stronger, data-driven decisions.
Meet your instructors
Dr Nikodem Szumilo
Associate Professor (UCL) & Director, Bartlett Real Estate Institute
A proponent of leveraging AI in the property sector with a strong academic background in RE economics, frequently emphasizing that professionals won’t be displaced by AI itself, but by those who know how to use it effectively. In this course, Niko provides a strategic overview of AI applications in real estate, focusing on the practical integration of AI into business workflows and the new skills required for successful adoption of these tools. His guidance ensures the content is evidence-based and aligned with the latest research and industry trends in real estate tech.
Dr Monika Szumilo
Lecturer (UCL) & Machine Learning Specialist
An educator and researcher, with a passion for practical AI who has been developing machine learning algorithms for academic research since 2019. Her expertise lies in machine learning and AI applications, and she is dedicated to demystifying advanced AI tools for real estate and built-environment professionals. In the course, Monika leads the technical modules – offering hands-on instruction in AI tools and techniques – and addresses the broader “philosophical and technical intricacies” of AI, including future trends, ethical considerations, and the impact of AI on the workforce.
Dr Thomas Wiegelmann
Managing Director, Schroder Real Estate & Honorary Professor (UCL)
An advocate for innovation, recognizing “the transformative potential of AI in real estate” and the need for training professionals to harness these capabilities. Thomas brings over two decades of industry experience across consultancy, corporate finance, investment, and asset management. In this course, he contributes a hands-on industry perspective – sharing real-world case studies and strategies for implementing AI-driven solutions in real estate operations, focusing on pragmatic applications of AI in business, emphasizing efficiency and innovation.
What our past participants say...
„The course was excellent to
familiarize myself with the world of AI for Real Estate.
Niko, Monika and Thomas’s
passion on the topic is
contagious and will drive you
to fully immerse yourself in the
use of AI on your day-to-day
projects.”
--Karl Schaefer, Portfolio Manager,
Abu Dhabi Investment Authority (ADIA)
--Karl Schaefer, Portfolio Manager,
Abu Dhabi Investment Authority (ADIA)
Questions? Contact us
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