Introduction

Building Information Modeling (BIM) has evolved beyond 3D modeling into a data-driven, automation-first digital construction ecosystem. With increasing demand for parametric design, computational workflows, and construction digitization, professionals are shifting toward advanced BIM automation tools such as Autodesk Revit + Dynamo + Python scripting. This training course is designed to equip learners with cutting-edge skills in BIM automation, generative design, and computational workflows, enabling faster project delivery, improved accuracy, and reduced manual workload.

BIM Automation using Dynamo Training Course focuses on transforming traditional BIM practices into intelligent, rule-based systems. Participants will learn how to automate repetitive modeling tasks, manage large datasets, integrate external data sources, and optimize building design processes using visual programming and algorithmic modeling techniques. The course emphasizes real-world applications in architecture, structural engineering, MEP coordination, and construction management using industry-standard workflows aligned with ISO 19650 BIM standards, digital twins, and smart construction technologies.

Programme Curriculum

BIM Automation Using Dynamo Training Course

Introduction

Course Duration

5 days

Course Objectives

Master Dynamo visual programming for Revit automation
Develop parametric modeling workflows for smart BIM design
Automate repetitive tasks using graph-based computational design
Integrate Python scripting for advanced BIM logic control
Create data-driven BIM models for construction efficiency
Implement generative design techniques in architecture workflows
Optimize clash detection and coordination automation
Build custom Revit plugins using Dynamo nodes
Enable interoperability between BIM and external databases
Apply AI-assisted BIM automation techniques
Develop rule-based modeling systems for MEP and structure
Enhance productivity through workflow optimization and scripting
Support digital twin development and smart construction pipelines

Target Audience

BIM Architects and Design Professionals
Structural Engineers working in Revit environments
MEP Engineers focused on coordination workflows
Construction Managers and Project Planners
CAD Technicians transitioning to BIM automation
Interior Designers using parametric modeling tools
Engineering Students in AEC (Architecture Engineering Construction)
Digital Construction and VDC (Virtual Design Construction) specialists

Course Modules

Module 1: Introduction to BIM Automation & Dynamo Environment

BIM automation fundamentals and workflows
Overview of Dynamo interface and nodes
Understanding visual programming logic
Revit-Dynamo integration setup
Data flow concepts in BIM systems
Case Study: Automating room data extraction from Revit models for project reporting

Module 2: Parametric Design Fundamentals

Parameter-driven modeling concepts
Adaptive components in Revit
Constraint-based design logic
Geometry manipulation techniques
Rule-based modeling structures
Case Study: Parametric façade system design using adaptive components

Module 3: Data Management in BIM using Dynamo

Excel-Revit data linking
CSV-based data automation
Data filtering and sorting techniques
Scheduling automation workflows
Database connectivity fundamentals
Case Study: Automated door/window scheduling linked with Excel database

Module 4: Geometry Automation & Modeling Efficiency

Creating and modifying geometry using nodes
Surface and solid manipulation
Mass modeling automation
Level and grid generation automation
Geometry optimization techniques
Case Study: Automated generation of multi-floor building grids and levels

Module 5: Python Integration in Dynamo

Introduction to Python scripting in Dynamo
Revit API basics for automation
Custom node creation using Python
Data structure handling (lists, dictionaries)
Advanced logic building
Case Study: Automated sheet creation with dynamic naming conventions

Module 6: Clash Detection & Coordination Automation

BIM coordination workflows
Rule-based clash detection
Model validation techniques
Automated issue reporting
Multi-disciplinary coordination setup
Case Study: Automated MEP clash detection report generation

Module 7: Generative Design & Optimization

Introduction to generative design principles
Design space exploration techniques
Performance-based modeling
Optimization algorithms basics
Scenario-based design automation
Case Study: Optimizing building orientation for daylight and energy efficiency

Module 8: Advanced BIM Automation & Digital Twins

Smart construction workflows
Digital twin integration concepts
IoT + BIM data linking
Cloud-based BIM automation
Future trends in computational BIM
Case Study: Real-time BIM model update using simulated construction data

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

Scripting logic Workflow automation Data manipulation Model 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