GPU Computing Courses and Certifications

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

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

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

The Full Stack

Infrastructure and Tooling - Full Stack Deep Learning - March 2019

Explore infrastructure and tooling for deep learning projects, covering GPU machines, experiment tracking, and all-in-one solutions like AWS SageMaker.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Video

CUTLASS: A CUDA C++ Template Library for Accelerating Deep Learning Computations

Explore CUTLASS, an open-source CUDA C++ template library for optimizing deep learning computations on NVIDIA GPUs. Learn to develop high-performance custom kernels using Tensor Core programming.

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

Docker

Auto-scalable Microservices for Machine Learning - UnifyID Case Study

Scaling Machine Learning backend for 1M+ users: GPU-intensive computations, containerization on EC2, horizontal scaling, uniform API for ML microservices, and addressing production deployment challenges.

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

Java

TornadoVM: Heterogeneous Programming Framework for Java

Explore TornadoVM, a Java framework for heterogeneous computing on CPUs, GPUs, and FPGAs. Learn its API, compiler, and runtime system for optimized performance across diverse hardware.

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

Devoxx

Mnemosyne - A Distributed Bitmapped Indexing Layer for Big Data

Explore building a distributed indexing layer for big data, covering design principles, data ingestion, storage, modeling, and in-memory computing techniques for scalable, real-time querying.

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

Devoxx

Java on the GPU - Where Are We Now?

Explore GPU utilization in Java, covering OpenGL, CUDA, and OpenCL for massive computations. Learn advantages and drawbacks of GPU computing in desktop and cloud environments.

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

Android Developers

WebGPU: Modern GPU Rendering and Compute for Web and Android

Explore WebGPU, a modern GPU API for web and Android. Learn about its capabilities, WGSL shading language, and comparison with WebGL in this informative podcast discussion.

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

linux.conf.au

Tensorflow on Open Source GPUs

Explore efforts to enable TensorFlow on open-source GPUs using SYCL, LLVM, and OpenCL. Learn about challenges and progress in deploying AI/ML frameworks without proprietary NVIDIA CUDA stack.

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

EuroPython Conference

Exploit Your GPU Power with PyCUDA - and Friends

Harness GPU power for scientific computing using PyCUDA. Learn CUDA programming model, memory spaces, and practical applications in Python for high-performance computing tasks.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Conference Talk

PyCon US

Practical Deep Learning for Data Scientists

Hands-on PyTorch and GPU Deep Learning tutorial for data scientists. Build common architectures, evaluate performance, and leverage compute resources effectively. Ideal for those with ML basics seeking practical DL experience.

• YouTube
• 2 hours 26 minutes
• On-Demand
• Conference Talk

CppNow

Introduction to C++ Coroutines Through a Thread Scheduling Demonstration

Explore C++20 coroutines for efficient CPU-GPU multitasking, improving performance in heterogeneous workloads. Learn fundamental components and design a lightweight programming model with scheduling algorithm.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Conference Talk

media.ccc.de

Shrinking Deep Learning Models: Techniques and Energy Considerations

Explore techniques to shrink deep learning models, reduce energy consumption, and run advanced architectures on commodity hardware. Gain insights into model efficiency and accessibility.

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