AI for Revit Users: Render, Automate, and Customize
Learn AI-powered rendering, animation, and Python automation for Revit, and build custom menus and tools—no coding experience required.
Duration: 30–36 hours
Teaching Methodology: Hands-on, project-based
Course Schedule: Schedule
Fees $600
Course Mode: Blended — Face-to-face or online via Zoom
OVERVIEW
Part 1: We dive straight into the fun — using ChatGPT and Google Nano Banana to instantly turn sketches into stunning 3D visuals. You’ll learn how to “paint” architectural plans with AI and generate realistic models and renderings within minutes.
Part 2: We step into the world of Python — just enough to understand, edit, and improve scripts generated by ChatGPT or Google Gemini. You’ll use PyCharm and the Interactive Python Shell to create smart scripts that automate repetitive tasks in Revit, saving hours of manual work.
Part 3: We use ChatGPT, Google Gemini and pyRevit to build professional-looking tabs, panels, and buttons that run your scripts directly inside Revit. You’ll also explore ready-made automation tools like BIM Copilot, which brings AI-assisted Revit automation to your fingertips.
Part 4: You’ll take your skills to the next level — converting well-structured Python scripts into C# add-ins and DLLs using Visual Studio 2022. This opens the door to professional plugin development and advanced customization for Revit.
Part 5: We return to the creative side — generating AI-powered visuals, renders, and animations using PromeAI, Midjourney, and Runway ML. This part blends technical skills with artistic expression, helping you create professional-quality presentations and videos.
Why this blended path (Python → C#)?
| Stage | Tools | Strengths |
|---|---|---|
| Prototype in Python | pyRevit, PyCharm, ChatGPT, Gemini | Fast iteration, low barrier, excellent for exploring Revit API and validating logic |
| Ship in C# | Visual Studio 2022, .NET 4.8 | Performance, typing, maintainability, clean UI, deployment via DLL + .addin |
Time Saved: Estimated Benefits (%)
| Area | Traditional Revit | With AI + Automation (Python/C#) | Improvement (%) |
|---|---|---|---|
| Repetitive Task Automation (views, sheets, exports) | ~3–4 hrs / 100 sheets | ~30 min total | 85–90% |
| Family Parameter Updates (200+ families) | 2–3 days manual editing | < 4 hours (batch script) | 75–85% |
| QA/QC & Standards Compliance | ~1 day per project audit | ~1–2 hours (rule-based scan) | 80–90% |
| Schedule Generation (e.g., furniture/door schedules) | ~0.5 day incl. formatting | < 1 hour end-to-end | 70–80% |
| Rework Reduction (from fewer parameter/schedule mistakes) | Frequent manual fixes & rechecks | Automated checks + guided fixes | 50–70% |
| Overall Project Efficiency | Baseline 100% | 135–150% productivity equivalent | 35–50% overall gain |
Notes: Estimates are based on typical class projects and instructor experience. Actual results vary with model size, standards, and team maturity.
AUDIENCE
Architects, BIM managers, structural/MEP engineers, and tech-savvy professionals who want to automate Revit with AI—quickly and professionally.
PREREQUISITES
No prior coding required — this course is designed to guide you step by step. We recommend completing AI + Python for AutoCAD Users first, especially if you are new to programming or automation, as it provides an easier introduction to Python and AI-assisted scripting in a lighter CAD environment. For learners seeking deeper fundamentals, our Python 1 course is also suggested but not mandatory. A basic understanding of Revit is assumed — if you are new to the software, please complete Revit 1 Fundamentals for All Disciplines first.
CERTIFICATION
ETC is an Autodesk Authorized Training Center. International certificates from Autodesk are issued upon completion.
Frequently Asked Questions
Do I need Python or C# experience?
No. We begin with image/sketch exercises using ChatGPT (visual enhancements, sketch → 3D/render) and a 6-hour Python Kickstart. A C# quick start is included mid-course.
Can I automate my existing Revit models?
Yes. You’ll build cleanup, data extraction, QA/QC, and generative tools and apply them immediately.

