Detailed Course Outline
Introduction
- Meet the instructor.
- Create an account at courses.nvidia.com/join
Advanced Extract, Transform, and Load (ETL)
- Learn to process large volumes of data efficiently for downstream analysis:
- Discuss current challenges of growing data sizes.
- Perform ETL efficiently on large datasets.
- Discuss hidden slowdowns and perform DataFrame transformations properly.
- Discuss diagnostic tools to monitor and optimize hardware utilization.
- Persist data in a way that’s conducive for downstream analytics.
Training on Multiple GPUs With PyTorch Distributed Data Parallel (DDP)
- Learn how to improve data analysis on large datasets:
- Build and compare classification models.
- Perform feature selection based on predictive power of new and existing features.
- Perform hyperparameter tuning.
- Create embeddings using deep learning and clustering on embeddings.
Deployment
- Learn how to deploy and measure the performance of an accelerated data processing pipeline:
- Deploy a data processing pipeline with Triton Inference Server.
- Discuss various tuning parameters to optimize performance.
Assessment and Q&A