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3D Point Cloud Bootcamp
Cohort-based Course
Become confident at processing LiDAR point clouds using QGIS and start applying 3D geodata in real-world GIS and engineering projects.
3D Point Cloud Bootcamp
Cohort-based Course
Become confident at processing LiDAR point clouds using QGIS and start applying 3D geodata in real-world GIS and engineering projects.
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Course overview
LiDAR Processing in QGIS
This live cohort is designed to guide you through the fundamental concepts, algorithms, and practical 3D point cloud processing applications. Whether you're an engineer, researcher, or enthusiast looking to dive deep into this exciting field, this cohort will provide you with the knowledge and hands-on experience to work confidently with 3D data.
Bootcamp mental shifts:
From passive watching → to active building.
From solo learning → to guided coaching.
From self-paced drifting → to deadline-driven execution.
This is my first time running this, so you’ll get early access, direct support, and a 50% discount.
Live sessions • Replays included
Limited beta cohort — only 10 seats
This course is for you if:
01
You work with 3D point clouds and want to finally master the full workflow — from raw data to clean results.
02
You’ve tried learning on your own, but feel lost or stuck with tools like CloudCompare, QGIS, or Python.
03
You want to work smarter, save time, and deliver high-quality 3D results with confidence.
Why Join Now?
Unlimited 1-on-1 Support
Get personal support whenever you need it. Ask questions, get feedback, and solve problems fast — you’re never stuck alone.
Interactive & Hands-On Learning
This isn’t just theory. You’ll work on real projects, use real data, and apply what you learn right away with hands-on tools like CloudCompare, QGIS, and Python.
Join a Supportive Community
You’ll be part of a group of professionals just like you. Share your progress, ask for advice, and grow together during and after the course.
Limited Beta cohort
This is the first time I'm running this Bootcamp — which means two things. First, you'll get personal access and influence what gets built. Second, you get it all for 50% discount.
This course includes
Interactive live sessions
Lifetime access to course materials
In-depth lessons
Direct access to instructor
Projects to apply learnings
Guided feedback & reflection
Private community of peers
Course certificate upon completion
Maven Satisfaction Guarantee
This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.
3D Point Cloud Bootcamp
Course syllabus
Week 1
Week 2
Week 3
👋 About Your Instructor
Abderrazzaq Kharroubi
Engineer, PhD candidate, and 3D geodata specialist.
Hi, I’m a PhD student at the University of Liège, where I work every day with 3D point clouds, LiDAR data, and tools like CloudCompare, QGIS, Potree, and Python.
In the past few years:
- I have processed large LiDAR datasets from Belgium’s railway network
- I have shared my work at international conferences
- I have built custom tools to clean, classify, and visualize 3D data
- I have taught over 1,000 students online and helped them get real results
- I have built a LinkedIn community of over 9,500 people around 3D data and geomatics
But most of all — I know what it’s like to feel stuck.
Too many tools. Too much theory. Not enough clarity.
This Bootcamp is the shortcut I wish I had when I started.
Now I want to help you build real skills, fast — and get the results you need.
3D Data Fundamentals: Sensors, Algorithms, and Applications
I spent 4 years crafting this. You get it in seconds.
This visual guide gives you:
✅ The main 3D sensors (LiDAR, photogrammetry...)
✅ The core algorithms to process point clouds
✅ Real applications that bring it all together
Built for engineers, researchers, and serious 3D learners.
📩 Download PDF
What people are saying
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Course schedule
4-6 hours per week
Tuesdays & Thursdays
1:00pm - 2:00pm EST
If your events are recurring and at the same time, it might be easiest to use a single line item to communicate your course schedule to students
May 7, 2022
Feel free to type out dates as your title as a way to communicate information about specific live sessions or other events.
Weekly projects
2 hours per week
Schedule items can also be used to convey commitments outside of specific time slots (like weekly projects or daily office hours).
Learning is better with cohorts
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
Stay in the loop
Sign up to be the first to know about course updates.