Ontologic Academy
Grasshopper for Architects
Master Computational Design & AI Workflows
A structured curriculum for architects and AEC professionals who want to move from learning Grasshopper to building robust parametric workflows, design intelligence and scalable computational systems.
Ontologic Academy
Grasshopper for Architects
A structured learning path from computational foundations to design intelligence, workflow integration and AI-augmented systems — built specifically around architectural practice.
Build the foundations
Learn how data, logic, hierarchy and geometry work together inside robust parametric models.
Turn models into design intelligence
Use analysis, performance criteria and generative methods to explore and evaluate architectural decisions.
Scale into computational systems
Structure larger workflows, connect tools and data, and extend computational design with automation and AI.
Course roadmap
Three progressive learning tracks
Progress from Grasshopper fundamentals and computational geometry to performance-driven design, workflow integration and advanced computational systems.
Start with the foundations or enter at the level that matches your experience. Each track develops a different layer of computational design capability.
Beginner → Intermediate
Grasshopper for Architects
Parametric Foundations
Learn the foundations of computational design through Grasshopper, starting with data, logic and structure before moving into architectural geometry and reusable parametric workflows.
Intermediate
Grasshopper for Architects
Design Intelligence
Move beyond parametric modelling and use computational systems to analyse, compare and generate architectural design options.
Advanced
Grasshopper for Architects
Computational Systems
Learn how to structure, connect and scale computational workflows across Grasshopper, BIM, APIs, external data and AI.
What you will learn
From Grasshopper fundamentals to computational design systems
The curriculum is built around transferable computational skills: understanding data, structuring logic, modelling geometry, evaluating designs and ultimately connecting Grasshopper to larger architectural workflows.
Think in systems
Move beyond isolated tutorials and learn how data, logic and geometry work together inside reusable Grasshopper workflows.
Understand data structures
Build confidence with lists, domains, data trees, matching and hierarchy through practical architectural problems.
Automate workflows
Turn repetitive modelling, analysis and project tasks into flexible computational systems.
Connect tools and data
Develop workflows that extend beyond individual Grasshopper definitions into BIM, APIs, databases and external platforms.
Design with intelligence
Use parameters, performance criteria and structured option spaces to support better architectural decisions.
Build workflows that scale
Structure computational work so definitions remain understandable, maintainable and useful beyond a single experiment.
Who it is for
Built for people working on real AEC projects
These courses are not designed as abstract software training. They are built for people who want to apply Grasshopper and computational design inside real architecture, BIM and AEC workflows.
Architects
For architects who want to move beyond manual modelling and develop stronger computational methods for design practice.
Computational Designers
For designers who want to understand the systems behind Grasshopper and build cleaner, more scalable workflows.
BIM & Digital Design Specialists
For AEC professionals who want to automate repetitive tasks, connect project data and bridge design workflows across tools.
Why learn from Ontologic
Learn the systems thinking behind computational design.
The focus is not on collecting Grasshopper tricks or copying finished definitions. The courses are built around realistic architectural problems and the underlying logic that lets you create, adapt and scale your own workflows.
Your instructor
Learn computational design from architectural practice.
I'm Marijn Luijmes. With over 7 years of experience as an architect, computational designer and developer, I noticed how architects and engineers often work along similar patterns. We do the same thing, over and over again. With computational design, we can capture those patterns and methods explicitly, making them reusable and adaptable.
Other resources
Can't wait for the courses?
Explore free Grasshopper and computational design content first. The courses build on the same practical approach in a structured learning environment.
Grasshopper & computational design videos
Watch free breakdowns, demonstrations and workflow videos on Grasshopper, computational design, AI and AEC technology.
Watch free contentWorkshops for AEC teams
Ontologic also offers workshops and advisory sessions for teams working with computational design, automation and digital AEC workflows.
Discuss a workshopFAQ
Questions before you start?
Everything you need to know about experience level, course format, access and what you'll learn.
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Join the Ontologic Academy waitlist for launch updates on Grasshopper for Architects, computational design courses and future learning tracks.