3D Python Course

Discrete spatial datasets known as point clouds often lay the groundwork for decision-making applications. E.g., we can use such data as a reference for autonomous cars and robot navigation, as a layer for floor-plan’s creation and building construction, and as a digital asset for environment modeling and incident prediction… Applications are numerous and potentially increase if we consider point clouds as digital reality assets. Yet, this expansion faces technical limitations mainly from the lack of experts in point cloud processing.

This crash course is dedicated to providing you with focused content that you can unlock in under 2 hours. It treats point cloud data basics, structuration, and visualization. The aim is to offer you the possibility to immediately integrate what you learned in your personal or professional career.

This course is conceived to maximize the return on time invested and provide you with possibilities to upscale what you learned and extend your expertise through additional focused online courses, such as Point Cloud Processor. Its conception is based on years of R&D, and new knowledge-transmission techniques to access very high focus and limited time investment.