100+ GPU Acceleration Online Courses for 2026 | Explore Free Courses & Certifications

Nvidia

GPU-Acceleration for Pandas, NetworkX, and Apache Spark MLlib - Accelerating Data Science Tools

Nvidia

Getting Started with OpenACC - Part II

Web Conferences Amsterdam

Rendering Without Lumpy Bits - Optimizing Web Performance

Krish Naik

Accelerate Scikit-learn Machine Learning Models 50x with NVIDIA cuML

Institute for Pure & Applied Mathematics (IPAM)

Scaling NumPy Applications from 1 CPU to Thousands of GPUs - IPAM at UCLA

The Machine Learning Engineer

LLMOps: Accelerate LLM Inference in GPU Using TensorRT-LLM

DevConf

GPU Accelerated Containers on Apple Silicon with libkrun and podman machine

Databricks

Spark RAPIDS ML - GPU Accelerated Distributed Machine Learning in Spark Clusters

Nvidia

Accelerate AI on NVIDIA RTX AI PCs with Windows ML

USENIX

Fast Vector Query Processing for Large Datasets Beyond GPU Memory with Reordered Pipelining

PyCon US

When GPUs Make Python Slower: Patterns and Pitfalls

USENIX

Maximizing Utilization for LLM Accelerators

James Briggs

GPU-Acceleration for PyTorch on M1 Macs - Using with BERT

EuroPython Conference

GPU Acceleration of a Global Atmospheric Model Using Python Based Multi-Platform

Java

Heterogeneous Accelerator Toolkit (HAT) Update - Project Babylon and GPU Acceleration in Java

GPU Acceleration Courses and Certifications

GPU-Acceleration for Pandas, NetworkX, and Apache Spark MLlib - Accelerating Data Science Tools

Getting Started with OpenACC - Part II

Rendering Without Lumpy Bits - Optimizing Web Performance

Accelerate Scikit-learn Machine Learning Models 50x with NVIDIA cuML

Scaling NumPy Applications from 1 CPU to Thousands of GPUs - IPAM at UCLA

LLMOps: Accelerate LLM Inference in GPU Using TensorRT-LLM

GPU Accelerated Containers on Apple Silicon with libkrun and podman machine

Spark RAPIDS ML - GPU Accelerated Distributed Machine Learning in Spark Clusters

Accelerate AI on NVIDIA RTX AI PCs with Windows ML

Fast Vector Query Processing for Large Datasets Beyond GPU Memory with Reordered Pipelining

When GPUs Make Python Slower: Patterns and Pitfalls

Maximizing Utilization for LLM Accelerators

GPU-Acceleration for PyTorch on M1 Macs - Using with BERT

GPU Acceleration of a Global Atmospheric Model Using Python Based Multi-Platform

Heterogeneous Accelerator Toolkit (HAT) Update - Project Babylon and GPU Acceleration in Java