Do I need to code?
Basic Python is strongly recommended. We teach what you need within the program, but arriving with Python fundamentals (functions, loops, basic libraries) will let you focus on the domain rather than syntax.
Is there an application process?
Yes. Applications involve a short portfolio or work sample, a written statement about why you're applying, and a brief interview. We are keeping cohorts small to maintain quality.
What background do I need?
Professional experience in AEC with curiosity about AI, OR software/AI background with interest in physical world applications. You do not need both.
How intensive is it?
Plan for 8-10 hours per week over 18 weeks. Structured for working professionals — compatible with active professional practice.
Is it fully online?
Online-first. There will be 1-2 optional in-person intensive sessions per cohort. Optional but strongly recommended.
What language is the program in?
English. All materials, sessions, and submissions are in English.
How is it structured?
Nine progressive modules (F0–F8). F0 builds the foundation: mindset, technical environment, and AI reasoning capacity. F1–F7 work each phase of the design process with AI integrated: reading territory, capturing, modeling, designing, simulating, communicating, documenting, and fabricating. F8 synthesizes everything into your own adaptive design system.
What makes it different from other AI courses?
It is structured by phases of the design process, not by tools. Your real project is the working material, not fictional case studies. Each module produces a deliverable directly useful for your professional practice. And it's a gateway to MIAW Advanced for profiles who want to continue in applied research.
How much does it cost?
Pricing is being finalized. Early applicants will have access to founder pricing. Range being considered: €4,000-8,000 total, with payment plans available.
When does the first cohort start?
Targeting Q4 2026. Exact date depends on cohort composition and faculty availability.
Is there a certificate?
Yes. A certificate of completion from MIAW, with project portfolio as primary evidence of learning.
What tools will we use?
Python, Jupyter, Claude Code, MCP (Model Context Protocol), Rhino/Grasshopper, Revit API (basics), standard ML libraries (PyTorch, HuggingFace), Anthropic/OpenAI APIs, GitHub. Tools for 3D capture (Gaussian Splatting), simulation, and fabrication depending on the student's project. All tools either free or provided as part of the program.
Do I need specific hardware?
A modern laptop (Mac or Windows) and a stable internet connection are sufficient for most modules. GPU access for some simulation and rendering tasks can be done via cloud.
How does learning work?
Project-based from week 1. Your own real project is the working material throughout the program. Each module produces a concrete deliverable directly applicable to professional practice. Learning happens through doing, not through watching demos.
What about AI ethics?
Ethics is not a standalone module — it is integrated throughout the program. We work with the real limits of AI tools: hallucinations, dataset biases, energy costs, and the responsibility that remains with the architect regardless of how much AI was involved in the process.