Artificial Intelligence, Machine Learning, and the Built Environment

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  • A.I., Machine Learning, and the Built Environment
    Prepare Yourself for What's Coming



    April 27, 28, 30, 2021
    Online

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Dates: April 27, 28, 30, 2021
Time: 11:00am - 1:00pm EDT
Location: ONLINE
CEUs: 6 AIA LUs, 6 AICP/CM, 6 LA/CES
AMDP Elective Units: 1
Tuition: $1,700
REGISTER NOW
* Limited capacity! Registration closes 24 hours in advance.

This program will constitute a non-technical introduction to the state of the art in Artificial Intelligence (AI) and Machine Learning (ML), 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 the practical applications of Machine Learning in the built environment.

Course Description - AIML

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By the end of the program, you will have gained a deep understanding on the potential affordances of AI & ML in relation to your practice, and how it may bring you a competitive advantage in the near future. With this program, you will gain the background skills necessary to lead a technical team into the implementation of a ML project of your own, as well as how to prepare yourself for this moment, starting today!

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 State.
  • 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.

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, and planners.

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A.I., Machine Learning, and the Built Environment:
Prepare Yourself for What's Coming
Dates: April 27, 28, & 30, 2021
Time: 11:00am - 1:00pm EDT
Location: ONLINE
CEUs: 6.0 AIA | 6.0 AICP | 6.0 LA/CES
AMDP Elective Units: 1
Tuition: $1,700

REGISTER NOW

* Limited capacity! Registration closes 24 hours in advance.