RAPIDS Training in Pierre

This instructor-led, live training in Pierre (online or onsite) is aimed at data scientists and developers who wish to utilize RAPIDS to construct GPU-accelerated data pipelines, workflows, and visualizations, incorporating machine learning algorithms such as XGBoost and cuML.

By the end of this training, participants will be able to:

• Set up the required development environment for building data models with NVIDIA RAPIDS.
• Understand the features, components, and benefits of RAPIDS.
• Leverage GPUs to enhance end-to-end data and analytics pipelines.
• Implement GPU-accelerated data preparation and ETL processes using cuDF and Apache Arrow.
• Learn how to execute machine learning tasks with XGBoost and cuML algorithms.
• Create data visualizations and conduct graph analysis with cuXfilter and cuGraph, enhancing decision-making for government operations.