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Course Outline

Foundations of AI in Architectural Design

  • Overview of AI applications within the architectural discipline
  • Exploring multimodal AI capabilities (text, image, video) in design contexts
  • Introduction to DeepSeek and OpenAI for enhanced design workflows

AI-Generated Design Creation

  • Applying text-to-image and text-to-video technologies for conceptual development
  • Automating the exploration of iterative design options
  • Producing key architectural deliverables, including floor plans, elevations, and 3D perspectives

Regulatory Compliance and AI-Driven Validation

  • Leveraging AI to interpret zoning laws and building codes
  • Automating design verification for regulatory compliance
  • Refining layouts to maximize energy efficiency and sustainability metrics

AI Integration with Revit and Rendering Platforms

  • Linking DeepSeek and OpenAI interfaces with Revit
  • Streamlining the generation of planimetric content
  • Improving 3D render quality through AI-suggested textures and materials

AI in Construction Documentation and Final Outputs

  • Creating annotated construction drawings with AI assistance
  • Automating sheet layouts and planimetric data entry
  • Exporting AI-enhanced models for stakeholder collaboration and presentation

The Future Trajectory of AI in Architecture

  • Emerging AI trends impacting architecture and urban planning
  • Investigating generative AI for parametric and computational design strategies
  • Addressing ethical considerations and AI-driven sustainability goals

Conclusion and Path Forward

Requirements

  • Foundational understanding of core architectural design principles
  • Practical experience with Autodesk Revit or comparable BIM software
  • Conceptual grasp of AI-assisted design methodologies

Target Audience

  • Architects
  • Urban planners
  • Building design specialists
 21 Hours

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