3D Python Crash Course
Become a 3D Coder and Develop Point Cloud Processing Apps
* VIP Mail Support included (Florent Poux).
3D Data Processing with Python Course 🐍
Unlock new 3D perception skills under two hours. Fast. Efficient. Complete. Reliable.
What is included?
- 3D Data Representations, Point Cloud Processing Steps
- The fundamentals of Math, Python and Code for 3D
- My python environment set-up
- 5 Code-along projects (Mesh, Voxels, Viz', ...)
- Some regular bonuses (guides, pdf, scripts ...)
- Lifetime access including future upgrades & updates
- Private forum for members only
* Privileged and Accompanied support included.
Get a 15 years of 3D Knowledge from both R&D and Academia packaged in 2 hours.
I started as a tool user, concentrating on optimizing how I used software.
As an engineer, this only could get me so far as an engineer.
The same applied when I was a researcher, I needed to unlock some clever 3D processing implementation.
And as a professor then a R&D manager, even more so to ensure the reliability of my team achievements.
So, wherever you are on this ladder, this course will cut through my past mistakes to ensure you have the most reliable, up-to-date 3D coding setup, knowledge and workflows with Python!
3D Python Crash Course: What will you learn? 🎓
- The 3D Point Cloud Basics and Workflow
- The 3D Data Representation Specificities (Mesh, Voxels, ...)
- The scope, scale and perspectives of Reality Capture
- The necessary mathematical background for 3D manipulations
- How to set-up a python environment for 3D easily
- How to process point cloud data with Python
- All point cloud types and file formats and how they work
- How to find, read, and exploit a LiDAR Dataset
- How to automate complex tasks with 3D Python
- The Libraries engineers use and how they use them
- The Numpy Basics and Code Practices
- Matplotlib Baics and Focus for 3D data
- Open3D for point cloud processing
- How to vizualise massive point clouds in/out of Python
- A visual guide for 3D data representations
- The Libraries engineers use and how they use them
- How to use Voxel Grid to make your project faster and lighter
- Build your own 3D automation pre-processing workflow
- Build your own point cloud to mesh project
- Build your own intelligent point cloud processing project
- Build your own vizualisation and interactive segmentation project
- Build your first interactive segmentation application
- 3D Point Cloud to Minecraft with Python
Fast results
The course is design to get results in under 2 hours.
Frictionless learning
Engineered courses designed for time-efficient learning with massive ROI.
No hidden costs
You get unlimited access, for life. Learning should be that simple.
Get the best learning experience from Academia & Industry
While I love teaching at the University and seeing my student learn and apply new concepts, for some part, it can be a bit too theoretical, and students can lose the focus needed to develop a specific set of skills. Moreover, accessing the desired knowledge can be confronted to difficulties such as “you are a company => non-eligible”; “you need 20,000 $ for your first year”; “you need to validate all exams to earn a diploma” … I dedicate myself to make sure you avoid all of these brakes and get the best-in-class online course.
If you are on the path of Entrepreneurship, you are on the quest of creating value for others. Through this program, you will find the fastest way to bring value to others and get paid for it, by mastering point cloud processing. Remember that our income depends on the value we bring to the world. The more you help others, the more you get paid for that value.
A portion of the online course profits will be donated to young companies that want to grow, and to 3D researchers that need funding to deliver the next big thing. You will therefore participate directly in the success of others.
- Industry: Former Land Surveyor & General Manager of Geovast 3D
- Academia: MSc. of Engineering, PhD of Sciences, Ad. Prof of 3D GeoData
- Research: Award-winning Point Cloud, Reality Capture, AI advances
3D Python Crash Course in brief
Who?
You only need to be eager to develop a very useful set of skills, with a focus on automation. The program is time-efficient, but demands motivated individuals.
What?
The Crash Course will offer you laser-focused knowledge that really work to quickly create advanced automation workflows, without any software investment.
How?
3D Python Crash Course is a gas pedal, but it is still a step-by-step enrichment process. You're taken through a structured course that makes everything easy and efficient.
Beyond?
Scale your practice and get started with full 3D automation. You can optionnally book a private session or a mentorship program for a very advanced training.
3D Python Course
True Estimated Value: 1.500,00€
Special Visionary Offer: 97,00 € excl. VAT
🎁 VISIONARY BONUSES
✅ VIP Mail Support by Florent Poux
✅ 3D Point Clouds Magic Workflows
✅ Recommendation Letter Upon Completion
What happens upon subscription?
The complete training was engineered and packed to fit massive knowledge within two hours. This is part of the crash course series that is the best place to start learning about cutting-edge 3D skills.
The advantage with online training is that you can access all the knowledge and projects without having to go anywhere, from the comfort of your own home.
The nature of online courses makes it that we can:
- Structure and pack decades of knowledge in a condensed and precise way,
- Permit to cut the costs to its essentials, avoind massive University rates
- Get an unlimited access that allows you to come back at any time to each of the lessons.
If you are in a situation where you have major financial difficulties as a student, you can apply for a scholarship by reaching out directly via mail.
I have a limited number of seats that I renew each year for motivated applicants. I always try my best to support the future bright minds of today and tomorrow.
If upon completion of the course, you believe you did not got any added value, I will make sure you are fully refunded.
