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. Adelaide onsite live RAPIDS trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Adelaide City Central
Level 5, City Central, Tower 2, Adelaide, Australia, 5000
The Adelaide City Central Centre is in the heart of the city in the legal and financial district. Situated in a premium offic...
The Adelaide City Central Centre is in the heart of the city in the legal and financial district. Situated in a premium office building with outstanding green credentials, the centre is in one of the most technologically advanced buildings in Australia. Tenants in the building include several blue chip companies while the surrounding area is a hub for law firms, banks and insurance companies. Other important businesses in Adelaide include electronics, media, oil and defence. The building which has floor to ceiling windows has the latest technology in place to save substantially on energy, water and air conditioning. As well as offices, the building has a retail area, landscaped plazas and restaurants. The centre is within walking distance of many of Adelaide's attractions including the River Torrens, Adelaide Central Markets and Adelaide Oval.
This instructor-led, live training in Adelaide (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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