3D Geodata Academy

The Library

30+ Focused
Spatial AI Blueprints

Micro-courses with full code. Pick the exact topic you need, ship the result, move on. No fluff, no filler episodes.

Used by engineers at Meta, Airbus, CNRS and Trimble

Micro-Courses & Blueprints

Single topics and DLC packs. Pick the exact skill you need, ship the result.

One course, one outcome. Each micro-course is self-contained: focused scope, complete code repository, video and written lessons. Built to solve a single problem in days, not months.
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Applied Semantic Segmentation for LiDAR Point Cloud
DLC

Applied Semantic Segmentation for LiDAR Point Cloud

Transition from raw geometries to semantic intelligence. Deploy machine learning algorithms to automatically classify ground,…

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Python and AI Programming for 3D Applications
Single

Python and AI Programming for 3D Applications

An aggressive introductory crash course into handling 3D point clouds programmatically, replacing UI dependency with…

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3D Object Detection Engine
Single

3D Object Detection Engine

Learn the algorithmic math that allows autonomous vehicles and robots to "see" and detect physical…

44 lessons3D Vision⏱ 12 h 0 min View more about 3D Object Detection Engine
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Automating Scene Labeling with SegmentAnything 3D
DLC

Automating Scene Labeling with SegmentAnything 3D

Harness the power of Meta's billion-parameter Vision Foundation Model to automatically label unstructured 3D point…

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Point Cloud Intelligence
Single

Point Cloud Intelligence

Stop struggling with massive, unorganized LiDAR files. Master the end-to-end production workflow from raw data…

7 lessonsData Sci⏱ 15 h 0 min View more about Point Cloud Intelligence
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Designing PointNet Models for Machine Learning Engineers
Single

Designing PointNet Models for Machine Learning Engineers

A highly focused deep-dive into the DNA of 3D Deep Learning. Construct, train, and evaluate…

Operating Systems

Complete production stacks. Go end to end, from raw data to deployed spatial systems.

An Operating System is the full machine. It chains the skills from the micro-courses above into one complete production stack, from raw data to a deployed system. Start here when you want the end-to-end path.
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Spatial OS
Path

Spatial OS

Feed unstructured point clouds into advanced AI reasoning engines. 🎚️ Level: R&D Leader 🛠️ Core…

10 lessonsSpatial AI⏱ 15 h 0 min View more about Spatial OS
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3D Reconstructor OS
Path

3D Reconstructor OS

Turn raw, unstructured image data into metric 3DGS, point clouds, meshes, 3D experiences. 🎚️ Level:…

47 lessons3D Recon⏱ 12 h 0 min View more about 3D Reconstructor OS
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3D Segmentor OS
Path

3D Segmentor OS

Build the bridge between 3D geometry and semantic intelligence with algorithms and apps. 🎚️ Level:…

9 lessonsData Sci⏱ 18 h 0 min View more about 3D Segmentor OS
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3D Deep Learning OS
Path

3D Deep Learning OS

Dive into 3D NN architectures and deploy state-of-the-art 3D Deep Learning Systems. 🎚️ Level: 3D…

50 lessons3D Vision⏱ 25 h 0 min View more about 3D Deep Learning OS
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The Library

One subscription, the full shelf. Or pay once per course.

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What's Included:
✓ Access to 30+ production-ready blueprints
✓ New courses added monthly
✓ Complete code repositories
✓ Video + written content
✓ Commercial license for all code
✓ Community forum access
✓ Cancel anytime
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What's Included:
✓ Buy only what you need
✓ Complete code repository
✓ Video + written content
✓ Commercial license for all code
✓ Community forum access
Pay once • Lifetime access
Join 1,200+ engineers learning with the Library

Frequently Asked Questions

The Library (EUR 59/month) is a pick-and-choose shelf. 30+ micro-courses, one at a time, on the exact topic you need. The 3D AI Architect Program is the full path. Lifetime access, 19 episodes, 17 artifacts, plus a community I’m active in every week. Three tiers: Foundation EUR 1,497, Professional EUR 2,497, Architect EUR 3,997. All founding prices.
You need intermediate Python and a rough sense of what a point cloud is. That’s it. I explain the math as we go, and I favor intuition over proofs. Most students are working engineers, not academics.
Yes. Full commercial license. Use every line in your products, client work or internal tools. The only thing you can’t do is resell the course itself as training material.
Each system is about 20 hours of focused work. At 10 hours a week the full set runs under 30 days. Students building MVPs finish the relevant parts in under a week full-time. Lifetime access means no pressure.
90-day refund after applying the material. If you use it and it doesn’t deliver, email me and I send the money back. No forms, no friction.

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.

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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4k+
Students Trained
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Companies Served
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Success Rate
5/5
Average Rating
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