Online RAPIDS Training in US

This instructor-led, live training in [location] (online or onsite) is aimed at data scientists and developers who wish to use RAPIDS to build GPU-accelerated data pipelines, workflows, and visualizations, applying machine learning algorithms such as XGBoost and cuML. By the end of this training, participants will be able to: - Set up the necessary development environment to build data models with NVIDIA RAPIDS. - Understand the features, components, and advantages of RAPIDS for government applications. - Leverage GPUs to accelerate end-to-end data and analytics pipelines. - Implement GPU-accelerated data preparation and ETL processes using cuDF and Apache Arrow. - Learn how to perform machine learning tasks with XGBoost and cuML algorithms. - Build data visualizations and execute graph analysis with cuXfilter and cuGraph.