NVIDIA NCP-ADS Exam Prep: Accelerated Data Science.
The Ultimate Guide to Passing the NCP-ADS Exam. Master RAPIDS, DALI, and GPU-Accelerated Data Science Workflows.
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1363 questions
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Aug 2025
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$19.99
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What you will learn
Master the core components of the NVIDIA RAPIDS suite, including cuDF, cuML, and cuGraph.
Perform large-scale data manipulation and feature engineering directly on the GPU.
Train machine learning models significantly faster using GPU-accelerated algorithms.
Build and execute high-performance graph analytics workflows.
Optimize data loading and preprocessing pipelines for deep learning with NVIDIA DALI.
Understand the fundamentals of CUDA and how it enables accelerated computing.
Apply best practices for building and optimizing end-to-end accelerated data science pipelines.
Integrate RAPIDS with other popular data science libraries like Pandas and Scikit-learn.
Troubleshoot and debug common issues in a GPU-accelerated environment.
Prepare for the NCP-ADS exam with targeted lessons covering all official objectives.
Gain the confidence to tackle massive datasets that are impractical for CPU-only workflows.
Explain the value and architecture of an accelerated data science platform to stakeholders.
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6734285
udemy ID
22/07/2025
course created date
23/08/2025
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