Artificial Intelligence, Machine Learning, and the Built Environment

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  • A.I., Machine Learning, and the Built Environment
    Fundamentals & Proptech Applications



    January 10, 12, & 14, 2022
    Online

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Dates: January 10, 12, & 14, 2022
Time: 11:00am - 1:00pm EDT
Location: ONLINE
CEUs: 6 AIA LUs, 6 AICP/CM, 6 LA/CES
AMDP Elective Units: 1
Tuition: $1,300
REGISTRATION CLOSED
* Limited capacity! Registration closes 24 hours in advance.

Artifical Intelligence (AI) and its Machine Learning (ML) applications power some of the world’s biggest companies. A key part of Real Estate Technology (Proptech), they power the features of some of the most invested-in, and fastest-growing companies in real estate. However, they have yet to change the day-to-day work of most real estate firms and professionals, and remain an untapped opportunity to those able to adapt them to their biggest real estate problems.

This program will constitute a non-technical introduction to AI and Machine Learning, with particular emphasis on their current applications in the fields of Architecture, Landscape, Urbanism, and Real Estate. The main focus of the program will be to give you a high-level overview of what AI & ML are, and what types of problems they are particularly suited to solve. We will present the foundational topic of data, including types, acquisition, parsing and their relation to the training of neural networks, as well as more advanced themes such as biases and ethics. This three-day program will be preceded by short readings, and consist of lectures, hands-on conceptual exercises and group discussions focused on current practical applications of AI & ML in the built environment. Past iterations have looked at the applications of machine learning on property valuation, floorplan generation, recommendation engines, and listing process automation, as used by the worlds most prominent proptech companies, such as Airbnb, Zillow, and Redfin. Given the rate of iteration of AI & ML, each session looks at the most up-to-date examples shaping the industry.

Course Description - AIML

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By the end of the program, you will understand what applications of AI & ML offer your practice a potential competitive advantage, and what procedures need to be put in place to ensure successful AI & ML project implementation. Finally, you will gain the background skills necessary to lead a technical team in a machine learning project of your own.

Course - Learning Objectives - AIML

Learning Objectives

  • Explore the current state of Artificial Intelligence and Machine Learning (ML), with particular emphasis on their applications in the fields of Architecture, Landscape, Urbanism and Real Estate, especially in Proptech.
  • Learn the five rules about which types of problems Artificial Intelligence and Machine Learning are the right answer for tackling.
  • Understand the importance of data acquisition and parsing for machine learning training, as well as identify potential issues of bias and its ethical implications.
  • Acquire the skills to manage a team in a successful machine learning project, without needing the expertise to understand the details of its technical implementation.
  • Build your own organizational guide on the steps you can take immediately to ensure successful future implementations of Artificial Intelligence and Machine Learning in your projects.

Course - Instructor - Jose Luis

Lecturer in Architectural Technology Graduate School of Design
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Course - Who Should Attend - AIML

Who Should Attend

Real estate professionals and investors of all types, architects, designers, planners, and proptech professionals.

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A.I., Machine Learning, and the Built Environment:
Fundamentals & Proptech Applications
Dates: January 10, 12, & 14, 2022
Time: 11:00am - 1:00pm EDT
Location: ONLINE
CEUs: 6 AIA LUs, 6 AICP/CM, 6 LA/CES
AMDP Elective Units: 1
Tuition: $1,300

REGISTRATION CLOSED

* Limited capacity! Registration closes 24 hours in advance.