Introduction

Generative Design in Architecture is revolutionizing the way buildings, spaces, and urban environments are conceived by integrating computational design, artificial intelligence, parametric modeling, and algorithm-driven creativity. Generative Design in Architecture Training Course empowers architects, designers, and engineers to move beyond traditional design methods and embrace AI-powered architectural innovation, data-driven design optimization, and computational creativity workflows. Participants will learn how to generate multiple high-performance design solutions using tools such as Grasshopper, Rhino, Dynamo, and AI-based generative design platforms, enabling faster decision-making and more sustainable outcomes.

In today’s rapidly evolving built environment industry, generative design is a key driver of smart cities, sustainable architecture, BIM integration, and performance-based design optimization. This course bridges the gap between architecture and emerging technologies, allowing professionals to create structures that are not only aesthetically advanced but also environmentally responsive and structurally efficient. By leveraging machine learning in architecture, algorithmic design systems, and cloud-based simulation tools, learners will gain the ability to transform complex design challenges into optimized, intelligent, and future-ready architectural solutions.

Programme Curriculum

Generative Design in Architecture Training Course

Introduction

Course Duration

10 days

Course Objectives

Understand fundamentals of Generative Design in Architecture and computational design thinking
Apply parametric modeling techniques using Grasshopper and Rhino
Integrate Artificial Intelligence (AI) in architectural design workflows
Develop skills in algorithmic and rule-based design systems
Use BIM-integrated generative design for smart building solutions
Optimize building performance using data-driven simulation tools
Explore sustainable architecture and energy-efficient design systems
Create multi-variant design iterations using generative algorithms
Apply machine learning for spatial optimization and form generation
Implement cloud-based collaborative design environments
Enhance decision-making using performance-based architectural analysis
Develop innovative solutions for urban design and smart city planning
Master workflows for future-ready digital architecture and AI-assisted design

Target Audience

Architects and Architectural Designers
Urban Planners and City Designers
Interior Designers and Spatial Designers
Civil and Structural Engineers
BIM Specialists and CAD Technicians
Architecture Students and Research Scholars
Computational Design Enthusiasts
Construction Technology and PropTech Professionals

Course Modules

Module 1: Introduction to Generative Design in Architecture

Evolution of computational architecture
Principles of generative systems
Role of AI in design innovation
Parametric vs traditional design
Overview of digital architecture tools
Case Study: Zaha Hadid Architects’ parametric design approach

Module 2: Computational Design Thinking

Algorithmic thinking fundamentals
Design logic structuring
Rule-based modeling systems
Design iteration strategies
Creative coding basics
Case Study: ICD/ITKE Research Pavilion, University of Stuttgart

Module 3: Parametric Modeling with Grasshopper

Grasshopper interface and workflow
Parametric geometry creation
Data-driven design structures
Adaptive design components
Visual scripting techniques
Case Study: Beijing National Stadium (Bird’s Nest) design logic

Module 4: Rhino for Advanced Architectural Modeling

3D modeling techniques
Surface and mesh generation
Complex geometries creation
Integration with Grasshopper
Visualization techniques
Case Study: Heydar Aliyev Center

Module 5: AI in Architectural Design

Machine learning fundamentals
AI-assisted form generation
Predictive design modeling
Neural networks in architecture
AI design tools overview
Case Study: Autodesk Generative Design projects

Module 6: BIM and Generative Design Integration

BIM workflow fundamentals
Generative BIM coordination
Data exchange systems
Clash detection automation
Digital twin integration
Case Study: Singapore Smart Nation BIM initiative

Module 7: Algorithmic Design Systems

Rule-based design logic
Recursive design algorithms
Evolutionary design systems
Parametric constraints setup
Optimization loops
Case Study: Foster + Partners’ algorithmic skyscrapers

Module 8: Sustainable Generative Architecture

Energy-efficient design modeling
Environmental simulation tools
Carbon footprint optimization
Climate-responsive architecture
Green building automation
Case Study: The Edge Building, Amsterdam

Module 9: Performance-Based Design Optimization

Structural performance analysis
Wind and load simulation
Lighting optimization systems
Acoustic performance modeling
Iterative refinement methods
Case Study: Shanghai Tower aerodynamic design

Module 10: Urban Generative Design Systems

Smart city modeling
Urban density optimization
Infrastructure simulation
Spatial planning algorithms
Transport network design
Case Study: Masdar City, UAE

Module 11: Machine Learning for Architecture

Data training models
Predictive spatial analysis
Pattern recognition in design
AI clustering for space planning
Generative adversarial networks (GANs)
Case Study: AI-driven housing layouts research projects

Module 12: Digital Fabrication and Prototyping

CNC and 3D printing workflows
Parametric fabrication techniques
Material behavior simulation
Rapid prototyping systems
Robotic construction methods
Case Study: 3D printed architectural structures by ICON

Module 13: Cloud-Based Collaborative Design

Real-time design collaboration
Cloud BIM platforms
Version control systems
Distributed design workflows
Remote simulation tools
Case Study: BIM 360 collaborative construction projects

Module 14: Advanced Visualization Techniques

Real-time rendering engines
VR and AR in architecture
Immersive design experiences
Unreal Engine workflows
Photorealistic visualization
Case Study: Walkthrough simulations for mega projects

Module 15: Final Generative Design Studio Project

End-to-end design workflow
Problem statement definition
Multi-iteration generative modeling
Optimization and refinement
Professional presentation techniques
Case Study: Student-led smart eco-city prototype

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Algorithmic design Shape generation Optimization Parametric modeling

Programme Fee

Duration: 10 Days

Method: Online or Physical

Online Price: $2,000

Physical Price: $3,000

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $2,000