Parallel Computing Courses and Certifications

Simons Institute

Designing Parallel Data Structures

Discover techniques for creating efficient parallel data structures to optimize concurrent computing performance and manage parallelism effectively.

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

Simons Institute

Parallel Efficient Clustering with Graph-Based Approximate Nearest Neighbor Search

Discover advanced parallel clustering techniques using graph-based approximate nearest neighbor search for efficient large-scale data processing and analysis.

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

Simons Institute

Parallelism in Modern Sparse Solvers

Explore advanced parallel computing techniques for solving sparse linear systems and optimizing computational efficiency in high-performance scientific computing applications.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Video

Simons Institute

Parallel Cluster-BFS and Applications to Shortest Paths

Discover parallel cluster-BFS algorithms and their applications to efficiently solving shortest path problems in graph theory and computational optimization.

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

MLOps World: Machine Learning in Production

Scaling Large Language Models - Getting Started with Large-Scale Parallel Training of LLMs

Master parallel training strategies for billion-parameter LLMs through hands-on implementation of data, tensor, and pipeline parallelism techniques.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

MLOps World: Machine Learning in Production

Scaling Large Language Models - Getting Started with Large-Scale Parallel Training of LLMs

Master parallel training strategies for billion-parameter LLMs through hands-on implementation of data, tensor, and pipeline parallelism techniques.

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

Understanding Data Engineering

214 ratings at DataCamp

Discover how data engineers lay the groundwork that makes data science possible. No coding involved!

• DataCamp
• 2 hours
• On-Demand
• Free Trial Available

Introduction to Data Engineering

28 ratings at DataCamp

Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Parallel Programming with Dask in Python

Learn how to take the Python workflows you currently have and easily scale them up to large datasets without the need for distributed computing environments.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Parallel Programming with Dask in Python

Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Creating Robust Workflows in Python

Learn to develop a set of principles for your data science and software development projects.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

R Developer

Gain the career-building skills you need to succeed as an R Developer by learning to write and package code efficiently. No coding experience needed!

• DataCamp
• 2 days 4 hours
• On-Demand
• Free Trial Available

Parallel Programming in R

Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

React Conferences by GitNation

Parallel Computing in ReactJS - Provide a Pleasant User Experience

Learn to leverage modern APIs like Web Workers, WebAssembly, and Service Workers for parallel computing in React, enhancing performance and user experience in complex applications.

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

Nvidia

Parallel Nsight 2.0 and CUDA 4.0 for GPU Computing - SIGGRAPH 2011

Explore GPU computing with CUDA 4.0 and Parallel Nsight 2.0, integrated into Visual Studio for enhanced graphics and parallel application development.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video