Introduction

Computational Design Workflows Training Course is designed to equip learners with advanced skills in parametric design, algorithmic modeling, generative systems, and data-driven architecture workflows. As the AEC (Architecture, Engineering & Construction) industry rapidly shifts toward AI-assisted design, BIM integration, and automation-driven fabrication, this course bridges the gap between traditional design thinking and next-generation computational methodologies. Participants will gain hands-on experience in tools such as Grasshopper, Rhino, Dynamo, Python scripting, and generative design platforms to create intelligent, adaptive, and optimized design solutions.

This training emphasizes a workflow-based learning approach, enabling professionals to move beyond static modeling into dynamic, responsive, and performance-driven design systems. By integrating machine learning in design, environmental simulation, structural optimization, and digital fabrication pipelines, learners will be prepared for roles in smart architecture, computational urbanism, and advanced product design. The course is structured to reflect real-world project scenarios, ensuring learners develop both technical proficiency and strategic problem-solving capabilities aligned with global design innovation trends.

Programme Curriculum

Computational Design Workflows Training Course

Introduction

Course Duration

5 days

Course Objectives

Master Parametric Design Thinking for adaptive architecture systems
Develop skills in Algorithmic Modeling & Computational Geometry
Implement Generative Design Workflows using rule-based systems
Integrate BIM + Computational Design Automation pipelines
Apply AI-assisted Design Optimization Techniques
Utilize Grasshopper & Rhino Scripting for Advanced Modeling
Build Python-based Computational Design Scripts
Explore Data-driven Urban Design & Smart Cities Modeling
Perform Environmental Simulation & Performance Analysis
Develop Digital Fabrication & CNC Workflow Integration
Apply Topology Optimization & Structural Intelligence Tools
Create Real-time Design Feedback Systems
Prepare for Industry 4.0 Digital Architecture Workflows

Target Audience

Architects and Architectural Designers
Civil and Structural Engineers
Urban Planners and Smart City Designers
Product and Industrial Designers
BIM Specialists and Technicians
Design Technology Consultants
Architecture Students and Researchers
Digital Fabrication and Robotics Enthusiasts

Course Modules

Module 1: Foundations of Computational Design

Introduction to parametric thinking
Design logic and rule-based systems
Geometry and algorithm fundamentals
Overview of computational tools (Rhino, Grasshopper)
Workflow setup and design environment
Case Study: Parametric façade system for climate-responsive architecture in coastal environments

Module 2: Parametric Modeling Techniques

Advanced Grasshopper definitions
Data trees and parametric relationships
Adaptive component design
Iterative design refinement
Constraint-based modeling
Case Study: Adaptive shading system for a commercial skyscraper

Module 3: Algorithmic & Generative Design

Rule-based generative systems
Evolutionary algorithms in design
Design space exploration
Optimization loops
AI-assisted variation generation
Case Study: Generative layout planning for high-density housing

Module 4: BIM & Computational Integration

Linking BIM with parametric tools
Revit-Dynamo workflows
Data exchange protocols
Automated documentation systems
Design coordination systems
Case Study: BIM-integrated hospital design coordination system

Module 5: Python for Computational Design

Python scripting fundamentals
Geometry automation scripts
Data manipulation techniques
API integration with design tools
Custom tool development
Case Study: Automated structural grid generator for stadium design

Module 6: Environmental & Performance Simulation

Climate analysis tools
Solar radiation studies
Wind flow simulation
Energy performance modeling
Optimization feedback loops
Case Study: Energy-efficient office tower optimized through simulation-driven design

Module 7: Digital Fabrication & Robotics

CNC and laser cutting workflows
3D printing for architecture
Material behavior and constraints
Robotic fabrication systems
File-to-factory pipelines
Case Study: Fabricated pavilion using robotic arm assembly system

Module 8: Advanced Computational Design Projects

Integrated workflow development
Multi-parameter optimization
Real-time data integration
Presentation and visualization
Industry-ready portfolio development
Case Study: Smart urban plaza with responsive environmental and social systems

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 modeling Parametric design Workflow automation Design optimization

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Sep 21 2026

21 Sep — 25 Sep 2026

💻 Online / Virtual session

Online $1,000