Kitware’s professional training courses offer the best opportunity to gain an in-depth understanding of our open-source products as part of a high quality, cross-platform software development process.

Tailored to your expertise level and your needs, these courses allow both users and developers to discover or master the benefit of tools such as CMake, ITK, ParaView, 3D Slicer or VTK.

Training Courses Agenda

March 4-5, 2024 CMake
March 6, 2024 ActiViz
March 7, 2024 VTK.js
March 8, 2024 Introduction to Kitware web technologies
March 11, 2024 ITK for Developers
March 12, 2024 MONAI
March 13, 2024 VTK for Medical Imaging
March 14, 2024 trame
March 15, 2024 3D Slicer
March 18, 2024 Slicer for developers
March 19, 2024 VTK for augmented and virtual reality (XR)
March 19, 2024 ParaView User
March 20, 2024 ParaView Advanced
March 21, 2024 VTK for Data Exploration
March 22, 2024 VTK for Application Developers
March 25, 2024 Topological Data Analysis with TTK
March 26, 2024 LidarView
March 27, 2024 LiDAR SLAM
April 2-3-4, 2024 Introduction to SALOME Platform

This course covers in depth how CMake works and how to efficiently write CMake scripts for small to larger projects. The second part of the course covers unit testing with CTest, packaging with CPack and continuous integration with CDash. The training mixes theory and application with a set of tutorials and exercises.

This training will present the common uses of the VTK toolkit using a practical oriented methodology.
The training mixes theory and application with a set of tutorials and exercises.
This course will give an overview of ParaView: how to visualize and process data. The examples are based on use cases from several scientific domains.

The training mixes theory and application with a set of tutorials and exercises.

The Insight Toolkit is a powerful library for image processing and analysis. This course covers the basic architecture of ITK and how to implement algorithms using the framwork.

3DSlicer is a visualization and analysis software dedicated to image data. Its intuitive GUI allows for using advanced image processing algorithm through open source libraries. The design originally focused on research projects directly or indirectly related to imaging. 3DSlicer is now used world-wide, in a variety of projects running from medical imaging to astronomy.

The objectives of this course will interest users of scientific visualization tools, but also developers willing to customize the interface.


Girder is a free and open source web-based data management platform developed by Kitware as part of the Resonant data and analytics ecosystem. Girder is both a standalone application and a platform for building new web services.


MONAI is a freely available, community-supported, PyTorch-based framework for deep learning in healthcare imaging. It provides domain-optimized foundational capabilities for developing healthcare imaging training workflows in a native PyTorch paradigm. Nvidia is one of the main maintainers of this project.


LidarView performs real-time visualization and processing of LiDAR 3D data captured in real time. It is a ParaView-based application that provides specific real-time network data management for multiple LiDARs brands, as well as post-processing tools related to LiDARs. It also has a specific user interface, focused on real-time visualization and analysis of LiDAR data from leading LiDARs manufacturers.