Introduction to AI Applications in Landscape Architecture
This online engineering CPD course examines the principles associated with artificial intelligence (AI) and machine learning (ML) in landscape architecture.
This course introduces AI-driven landscape solutions designed to enhance site analysis, design optimization, ecological planning, visualization, and landscape management while supporting informed and environmentally responsible design decisions. It also examines how landscape conditions vary spatially and temporally due to climate change, urban growth, ecological pressures, and site-specific factors, requiring AI-driven solutions that are appropriately selected and applied to address complex environmental and design challenges.
This course covers the application of AI and ML technologies in landscape architecture, including computer vision for site analysis, ecological performance optimization, plant community prediction, habitat connectivity planning, and AI-assisted visualization. It also emphasizes practical applications, design performance, and responsible implementation while maintaining professional judgment and considering ecological factors.
This 2 CPD online course is applicable to landscape architects, environmental planners, as well as other technical professionals who are interested in learning more about artificial intelligence applications in landscape architecture.
This PE continuing education course is intended to provide you with the following specific knowledge and skills:
- Familiarizing participants with artificial intelligence, machine learning, deep learning, and generative AI applications in landscape architecture
- Understanding the evolution of landscape design technology from hand drafting to CAD, GIS, parametric design, and AI applications
- Familiarizing participants with spatial data types used in AI-driven landscape analysis, including vector, raster, LiDAR, and remote sensing data
- Understanding the role of environmental and climate data sources in training AI models for landscape applications
- Explaining computer vision techniques and their applications in site analysis and vegetation mapping Explaining generative design approaches and optimization algorithms used in landscape architecture applications
- Understanding machine learning applications for plant selection, species distribution, urban tree performance, and ecosystem services
- Explaining AI applications for stormwater management, including runoff prediction, green infrastructure optimization, and flood risk mapping
- Understanding AI platforms and their integration with CAD, BIM, GIS, and parametric design software
- Familiarizing participants with ethical considerations and professional responsibilities associated with AI deployment in landscape architecture
Upon successful completion of the quiz, print your Certificate of Completion instantly. (Note: if you are paying by check or money order, you will be able to print it after we receive your payment.) For your convenience, we will also email it to you. Please note that you can log in to your account at any time to access and print your Certificate of Completion.