What you'll learn
AI for Civil Engineering is a practical, industry-oriented course that introduces Artificial Intelligence, Machine Learning, Generative AI, and automation techniques for modern civil engineering workflows. Students learn how AI can support structural design, BIM, quantity estimation, construction planning, project management, surveying, infrastructure monitoring, and data analysis.
The course focuses on practical applications of AI tools alongside commonly used civil engineering software and workflows.
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Course Syllabus
Module 1 – Introduction to AI
- AI, Machine Learning & Generative AI fundamentals
- AI applications in Civil Engineering
- Prompt Engineering for Engineers
- AI-assisted technical research and documentation
Module 2 – AI + BIM
- AI-assisted BIM workflows
- BIM data analysis
- Generative design concepts
- AI with Revit, Navisworks & Dynamo workflows
Module 3 – Structural Engineering
- AI-assisted structural analysis
- Structural design optimization
- Predictive modelling
- AI applications with ETABS, STAAD.Pro & other structural workflows
Module 4 – Construction Management
- AI for project planning and scheduling
- Risk prediction and management
- Progress monitoring
- AI-assisted resource management
- Primavera / MS Project + AI concepts
Module 5 – Quantity & Cost Estimation
- AI-assisted quantity takeoff
- BOQ generation
- Cost estimation
- Construction material analysis
- Excel + AI for estimation
Module 6 – Surveying & Infrastructure
- AI applications in surveying
- Image and site-data analysis
- Infrastructure inspection
- Defect detection and monitoring
Module 7 – Generative AI for Civil Engineers
- Generating technical reports
- AI-assisted design ideas
- Construction documentation
- Drawings and presentation support
- AI tools for engineering productivity
Module 8 – Practical Project
- AI-based civil engineering mini project
- BIM + AI workflow
- Construction/project-data analysis
- Final project presentation