Online or onsite, instructor-led live RAPIDS training courses demonstrate through interactive hands-on practice how to use RAPIDS to build GPU-accelerated data pipelines, workflows, and visualizations, applying machine learning algorithms, such as XGBoost, cuML, etc.
RAPIDS training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live RAPIDS trainings in Auckland can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Auckland, ANZ Centre
Level 33, ANZ Centre, 23-29 Albert Street, , Auckland, new zealand, 1010
The Regus Business Centre is located on the 33rd floor of the ANZ building which is one of Auckland's most recognisable landm...
The Regus Business Centre is located on the 33rd floor of the ANZ building which is one of Auckland's most recognisable landmarks. The centre offers premium A Grade work space and has recently undergone an extensive refurbishment, making the building one of Auckland’s most sought after CBD addresses. The centre is a short walk to the Viaduct, Queen Street or Wynyard Quarter and has easy access to motorways and is well serviced by public transport. The centre provides an impressive street perspective and expansive views across the Waitemata. ANZ centre is home to some of the most recognised businesses in New Zealand, including major financial institutions, lawyers and insurance companies. The centre offers first-class on-site facilities and amenities including restaurants, retail facilities and banks. The ANZ centre offers a perfect solution for local and overseas companies looking for flexible and fully-equipped offices with comprehensive services at a reasonable price.
This instructor-led, live training in Auckland (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, cuML, etc.
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.
Leverage GPUs to accelerate end-to-end data and analytics pipelines.
Implement GPU-accelerated data preparation and ETL with 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.
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