Fundamentals of Accelerated Data Science with NVDIA certification

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Fundamentals of Accelerated Data Science with NVDIA certification



This course offers a comprehensive introduction to GPU-accelerated data science through the RAPIDS ecosystem. It is designed to equip participants with the knowledge and skills required to efficiently manage, manipulate, and analyze large-scale datasets using GPU-powered tools such as cuDF, Dask cuDF, cuML, and cuGraph. The curriculum emphasizes both supervised and unsupervised machine learning techniques, scalable multi-GPU training with XGBoost, and graph-based data analysis. The course concludes with a capstone project that applies these methods to population-scale datasets in a simulated epidemic scenario, thereby demonstrating the practical applications of GPU acceleration in addressing complex, real-world challenges.

Course Fee

₹45,000 (including GST)

Duration

8 hours

Mode

Online/Hybrid


Program CURRICULUM
Module 1
GPU-Accelerated Data Manipulation

Ingest and prepare several datasets (some larger-than-memory) for use in multiple machine learning exercises later in the workshop:

  • Read data directly to single and multiple GPUs with cuDF and Dask cuDF.
  • Prepare population, road network, and clinic information for machine learning tasks on the GPU with cuDF.
Module 2
GPU-Accelerated Machine Learning

Apply several essential machine learning techniques to the data that was prepared in the first section:

  • Use supervised and unsupervised GPU-accelerated algorithms with cuML.
  • Train XGBoost models with Dask on multiple GPUs.
  • Create and analyze graph data on the GPU with cuGraph.
Module 3
Project: Data Analysis to Save the UK

Apply new GPU-accelerated data manipulation and analysis skills with population-scale data to help stave off a simulated epidemic affecting the entire UK population:

  • Use RAPIDS to integrate multiple massive datasets and perform real-world analysis.
  • Pivot and iterate on your analysis as the simulated epidemic provides new data for each simulated day.

Details

Course Information

Duration: 8 Hours

Mode: On-line / Hybrid

Price: ₹45,000 (including GST)

For Whom

  • Data Scientists and Analysts
  • Machine Learning Engineers
  • Researchers and Academics
  • Developers and Technical Professionals
  • Graduate Students in Data Science, AI, or Computational Fields