GPU Computing Courses and Certifications

Using PyTorch in the Cloud: PyTorch Playbook

This course covers the important aspects of using PyTorch on Amazon Web Services (AWS), Microsoft Azure, and the Google Cloud Platform (GCP), including the use of cloud-hosted notebooks, deep learning VM instances with GPU support, and PyTorch estimators…

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Pytorch Tutorial

Learn PyTorch fundamentals, from installation to advanced applications. Master tensors, backpropagation, and deep learning techniques for real-world data science projects.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Video

OpenCV DNN

Learn to deploy neural networks for object detection, depth estimation, and point cloud creation using OpenCV DNN module with Python and C++. Explore GPU acceleration and custom YOLOv5 models.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Video

The Julia Programming Language

Julia for High-Performance Computing - JuliaCon 2022

Explore Julia's capabilities for high-performance computing through expert talks on scalability, GPU support, MPI integration, and real-world applications in scientific and engineering domains.

• YouTube
• 2 hours 20 minutes
• On-Demand
• Free Video

Strange Loop Conference

PyTorch - Fast Differentiable Dynamic Graphs in Python

Explore PyTorch's dynamic deep learning framework, its high-performance design, and tensor compiler for faster AI research and development using GPUs and CPUs.

• YouTube
• 36 minutes
• On-Demand
• Conference Talk

Databricks

Efficient Large-Scale Language Model Training on GPU Clusters

Explores advanced techniques for efficient large-scale language model training on GPU clusters, discussing parallelism methods, novel scheduling, and performance optimization to achieve unprecedented model sizes and training speeds.

• YouTube
• 23 minutes
• On-Demand
• Free Video

Oracle

Building a High Performance Network in the Public Cloud Using RDMA - First Principles

Explore Oracle Cloud Infrastructure's high-performance networking using RDMA, covering challenges, optimizations, and unique features for low-latency workloads in public cloud environments.

• YouTube
• 40 minutes
• On-Demand
• Free Video

Jeff Heaton

High-Speed Pandas on GPU in AWS Cloud with RAPIDS and NVIDIA NGC

Accelerate data processing with NVIDIA RAPIDS on AWS: Learn to set up GPU-powered Pandas-like dataframes for fast preprocessing and seamless integration with GPU-based models.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Jeff Heaton

Training a GAN from Your Own Images - StyleGAN2 ADA

Learn to create custom GANs using your own images, from setup to training. Covers image collection, Docker setup, TFRecord conversion, and understanding GAN outputs for various projects like FishGAN and MinecraftGAN.

• YouTube
• 20 minutes
• On-Demand
• Free Video

Jeff Heaton

Face Generation with NVIDIA StyleGAN2 and Python 3

Generate realistic faces using nVidia StyleGAN2 and Python. Learn to utilize pretrained weights, TensorFlow wrapper, and Google CoLab GPU for efficient face generation without extensive training.

• YouTube
• 20 minutes
• On-Demand
• Free Video

Jeff Heaton

TensorFlow 2.0 GPU, Keras, and Python 3.7 Installation Guide for Windows 10 - 2020 Update

Comprehensive guide for setting up TensorFlow 2.0 with GPU support on Windows 10, covering installation of necessary drivers, CUDA, cuDNN, and Anaconda environment configuration.

• YouTube
• 31 minutes
• On-Demand
• Free Video

Kavli Institute for Theoretical Physics

Lessons and Outlook for ML Parameterization of Sub Grid Atmospheric Physics From the Vantage of Emulating Cloud Superparameterization - Mike Pritchard

Exploring machine learning for atmospheric physics parameterization, focusing on cloud superparameterization emulation. Discusses challenges, strategies, and lessons learned in applying ML to climate modeling.

• YouTube
• 42 minutes
• On-Demand
• Free Video

RSA Conference

NPK - High-Powered, Open Source Hash Cracking Tool

Explore NPK, an open-source tool for high-powered hash cracking using AWS GPU instances. Learn its features, benefits, and how it enables cost-effective password security assessment.

• YouTube
• 42 minutes
• On-Demand
• Conference Talk

Databricks

Taking Deep Learning to Production with MLflow and RedisAI

Explore MLflow and RedisAI integration for efficient deep learning model deployment, featuring multi-framework support, auto-batching, and DAGing capabilities in a reliable runtime environment.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Databricks

A Collaborative Data Science Development Workflow Using Kedro and MLflow

Explore a collaborative data science workflow using Kedro pipelines, MLflow tracking, and cloud-agnostic GPU containers for efficient model development, training, and production deployment.

• YouTube
• 24 minutes
• On-Demand
• Free Video