Build Spatial AI Systems You Actually Ship
I'll take you from raw point clouds to a deployed app in under 30 days. No black boxes. No rented infrastructure. Just code you own and judgment you keep.
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Meet Dr. Florent Poux
The unique bridge from field experience to academic excellence to entrepreneurial success. Dr. Poux has guided thousands from confusion to mastery in the 3D geodata realm.
Published expert in spatial AI and
3D reconstruction
Trusted by professionals at
Google, Intel, and beyond
Real-world experience from
excavation to innovation
Building the future of spatial
intelligence
“From excavation sites to AI breakthroughs – I’ve walked every
step of this journey. Now, I’ll guide you on the fastest path to
3D mastery.”
Three entry points. Pick the one that fits.
Learn
Build
Scale
The Learning Path
Four doors. Start anywhere.
Master 3D Data Science with Python
Transform raw 3D point clouds into intelligent spatial systems. From foundational concepts to production-ready AI models, this comprehensive guide takes you on a journey through the
complete 3D data science ecosystem—proven methods used by industry leaders at Netflix, Meta, and Airbus.
Also available on Amazon, Apple Books, and other major retailers
Professionals at Leading Companies
Trust Our Training
Real results from real professionals.
Researcher
Technical University of Madrid
ML Engineer
PropTech Startup
Civil Engineer → Spatial AI Lead
Industry Updates
Frequently Asked Questions
What's the difference between the Program and the Library?
Do I need a PhD or advanced mathematics background?
Can I use this for commercial projects?
Yes. Full commercial license included with the Program. Use all code in your products, consulting work, or internal systems. Only restriction: you can’t resell the course itself as training material.
How long does it take to complete the Program?
Is there a refund policy?
What tech stack do you use?
Python, PyTorch, Open3D, NumPy for core AI. FastAPI, Docker, React Three Fiber for deployment. Everything is production-grade and industry-standard. Every system includes complete code repositories and deployment scripts.
Do I need a GPU?
Recommended for deep learning systems (4, 5, 6). I provide Google Colab notebooks (free GPU) for all GPU-intensive modules. You can complete the entire program without owning a GPU.
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