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Introduction to AI-driven visualisation for architects

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Introduction to AI-driven visualisation for architects

 ON-DEMAND CPD: 1 Formal CPD Point

This presentation provides an overview of the fundamentals of AI-driven visualisation tools and offers guidance on how to evaluate and compare some of the leading tools available today. Brice suggests possible workflows for integrating AI into architectural workflows for conceptual designs and client presentations and highlights some of the risks and considerations when using these tools.

Learning Outcomes

At the end of this session, participants should be able to:

Understand the fundamentals of AI-driven visualisation tools such as Chat GPT, Midjourney , Flux, and ComfyUI

Evaluate and compare different AI visualisation tools based on image quality, cost, ease of use, and intellectual property rights

Integrate AI into architectural workflows for conceptual design and client presentations

Explain the role of AI in different architectural design stages, from precedent research to final rendering

Apply knowledge of building science, technology, and environmental factors when using AI for architectural visualisation

 

NSCA 2021 Performance Criteria

This course will deliver outcomes related to the following Competencies from the 2021 National Standard of Competency for Architects:

PRACTICE MANAGEMENT AND PROFESSIONAL CONDUCT

PC7 Apply and follow processes for clear and consistent communication with clients and relevant stakeholders throughout the project, including obtaining approvals from clients and stakeholders.

PROJECT INITIATION AND CONCEPTUAL DESIGN

PC18 Be able to apply creative imagination, design precedents, research, emergent knowledge and critical evaluation in formulating and refining concept design options, including the exploration of three-dimensional form and spatial quality. PC 26 Be able to undertake site, cultural and contextual analysis as part of preliminary design research.

PC 26 Be able to undertake site, cultural and contextual analysis as part of preliminary design research. 

PC 28 Be able to draw on knowledge from building sciences and technology, environmental sciences and behavioural and social sciences as part of preliminary design research and when developing the conceptual design to optimise the performance of the project.

 

Speaker

BRICE PANNETIER

Brice Pannetier is a computational designer and educator specialising in AI-driven visualisation, automation, and computational workflows for architecture. Based in Australia, he focuses on integrating artificial intelligence into architectural design processes to enhance efficiency, creativity, and sustainability. Brice holds a Master’s degree in Architecture (Architecte Diplomé d'État) from ENSAN (France) and specialised in digital design at ABK Stuttgart (Germany). With expertise in Parametric and generative design, he has developed AI-assisted workflows that optimise architectural visualisation and design iteration. Before founding his own practice, Brice worked at Philippe Rahm Architectes in Paris, contributing to the climate-responsive Jade Eco Park in Taichung, Taiwan. He later joined Populous, where he became Associate and Computational Lead, overseeing Computational Design strategies across major projects in the APAC region.

Price

Members: $49

Non-Members: $98

FAQs

What Do I Do Next?

1. You will receive an automated registration email upon purchase. Follow the link in this email to take you to the course.

2. Accept the T&Cs if it is your first time on the online platform and hit “my dashboard” to find your purchased course.

Cancellations and Refunds

Generally, the Institute will not agree to a refund if the request is received less than 14 days before the event starts, unless otherwise stated in the cancellations and refunds policy.

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