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Intended Audience:for: Architects, Environmental,, and Project Engineers
PDH UNITS: 1
This course provides landscape architects and environmental design professionals with comprehensive knowledge of generative artificial intelligence applications in landscape design practice. Participants will learn to leverage AI tools for enhanced site analysis, accelerated design exploration, improved visualization, and optimized project workflows while maintaining professional standards and environmental stewardship principles.
This course is designed for:
- Licensed landscape architects seeking to enhance their practice with AI tools
- Environmental design professionals interested in emerging technologies
- Urban planners and site design specialists
- Architecture professionals working on landscape integration projects
- Engineering professionals involved in site development and environmental design
Learning Objectives:
At the successful conclusion of this course, you will learn the following knowledge and skills:- Fundamental principles and applications of generative AI in landscape design
- Practical implementation strategies for AI tool integration
- Effective prompt engineering techniques for landscape-specific applications
- AI-enhanced site analysis and planning methodologies
- Professional standards and ethical considerations for AI use
- Future trends and emerging technologies in AI-assisted landscape architecture
ACCEPTANCE GUARANTEE
Ncite Engineering Hub engineering courses & live webinars meet NCEES Guidelines for Professional Engineer licenses renewal in all 50 states.
Live Webinars satisfy strict “Live Contact Hour” state mandates.
100% money-back State Board Acceptance Guarantee
Ncite Engineering Hub will refund your payment if the PDH credits you earn are rejected by your state board for any reason.
Ethics Courses

E – 1814 World Trade Center- Engineering Ethical Issues in the Design, Construction, and the Investigation of Its Collapseby Dr. Abolhassan Astaneh-Asl, Professor Emeritus. Ph.D., PE

E – 1869 Engineering Ethics: “Avoid Deceptive Acts” and the Case of MacArthur Maze Fire Collapseby Dr. Abolhassan Astaneh-Asl, Professor Emeritus. Ph.D., PE

E – 2057 Modern Sensors – Detecting Physical Conditionsby Mr. Don Parnell, PE

E – 1840 Engineering Ethics: The Collapse of the FIU Pedestrian Bridge. Design & Ethical Failuresby Dr. Abolhassan Astaneh-Asl, Professor Emeritus. Ph.D., PE
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