Name: Generative AI Tools and Workflows for Urban Planning
Rating: 4.53 (130 reviews)
Author: Tom Sanchez

Course Info

5 video lessons (59 Mins)
Published
2025
Trending

Preview Course

Browse Course Chapters

1.

Introduction

2 mins
2.

Generative AI Planning Workflows

14 mins
3.

Prompt Engineering

16 mins
4.

AI Integrated Planning Workflows

18 mins
5.

Key Takeaways

6 mins

What You Will Learn

- Explain the core generative AI models—including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Large Language Models (LLMs)—and how they function at a conceptual level.

- Identify practical applications of each model type within urban planning contexts, such as generating street redesign visuals, simulating spatial alternatives, and summarizing public input.

- Demonstrate the use of generative AI tools through hands-on examples, including prompt-based visual design and text summarization, to build familiarity and confidence.

- Evaluate the strengths and limitations of generative AI tools when applied to planning tasks, including accuracy, bias, and the importance of human oversight.

- Apply basic strategies for using generative AI tools responsibly, with an emphasis on clear prompts, verification of results, and ethical considerations in public-facing outputs.

Course Description

This course explains the foundational technologies behind generative AI, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and LLMs (Large Language Models). The tutorial goes beyond the theoretical by applying each model to realistic urban planning tasks — such as redesigning streetscapes, summarizing public comments, and generating development scenarios. Through live demos using free or commonly available AI tools, planners will learn the mechanics behind GenAI and build the confidence to explore these tools in their own work.