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. Frankfurt onsite live RAPIDS trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Frankfurt am Main
NobleProg Frankfurt, Domstraße 5, Frankfurt am Main, germany, 60528
Overview
Our training facilities are located at Domstrasse 5 in Frankfurt am Main. Located in t...
Overview
Our training facilities are located at Domstrasse 5 in Frankfurt am Main. Located in the old town of the Main metropolis, our premises offer enough space for successful training courses in the heart of the city, within walking distance of the Dom/Römer underground station.
Arrival
The NobleProg training facilities are located in the heart of Frankfurt's Old Town, near the Imperial Cathedral. With the Dom/Römer subway station, there is a central subway stop in the immediate vicinity.
Parking
Parking is allowed in the vicinity of our training rooms, even if the search for a parking space can be a bit more time-consuming depending on the date. Next door there is also the Dom/Römer multi-storey car park.
Local Services
Not far from the cathedral, in the direction of downtown Frankfurt, there are numerous restaurants and bars and within a 5 minute radius there are several hotels.
This instructor-led, live training in Frankfurt (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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