Parallel Processing Courses and Certifications

MIT HAN Lab

TinyEngine and Parallel Processing - Lecture 11

Explore TinyEngine and parallel processing techniques for efficient machine learning on resource-constrained devices, enhancing performance and reducing energy consumption.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

MIT HAN Lab

TinyEngine and Parallel Processing for Efficient Machine Learning - Lecture 11

Explore TinyEngine and parallel processing techniques for efficient machine learning on resource-constrained devices, enhancing performance and reducing energy consumption.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

Michael Penn

Some Mathematics of Parallel Processing

Explore mathematical concepts behind parallel processing and computational efficiency in distributed systems.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

Cloud Based Analytics and AI Programming

Explore SAS Viya's programming capabilities, mastering CAS-enabled analytics, in-memory processing, and multi-language integration with Python, R, SQL, and REST APIs for scalable data workflows.

• Coursera
• 8 hours
• Self-Paced
• Paid Course

Stanford CS149 - Parallel Computing 2023

10 ratings

Master parallel computing fundamentals from multi-core CPUs to GPUs, covering hardware design, programming techniques, and performance optimization for modern systems.

• YouTube
• 1 day 19 minutes
• Self-Paced
• Free Video

Amazon Web Services;  Amazon

AWS SimuLearn: Parallel Data Processing

Learn to design and implement parallel data processing solutions on AWS using Lambda, CloudWatch, and SNS through interactive AI-powered simulations and hands-on practice in a live console environment.

• AWS Skill Builder
• 1 hour
• Self-Paced
• Paid Course

Fusing Physics and Video Game Technology to Build a Commercial Drilling Training Simulator

Explore the fusion of physics and gaming tech in building a commercial drilling simulator, offering immersive training for precision horizontal drilling in virtual environments.

• YouTube
• 53 minutes
• Self-Paced
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Online Large-Margin Training of Syntactic and Structural Translation Features - 2008

Explore advanced techniques for improving statistical machine translation, including large-margin training, soft syntactic constraints, and structural distortion models. Gain insights into overcoming MERT limitations.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

CMU Database Group

Search Parallelization: Bottom-up Approach in Query Optimization - Lecture 9

Dive into advanced database query optimization techniques, focusing on bottom-up search parallelization methods for enhanced system performance and efficiency.

• YouTube
• 1 hour
• Self-Paced
• Free Video

CMU Database Group

Search Parallelization: Top-Down in Database Query Optimization - Lecture 10

Dive into advanced query optimization techniques focusing on top-down search parallelization methods for database systems, exploring strategies to enhance query processing performance.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

CMU Database Group

Query Execution Part 1 - CMU Intro to Database Systems - 13

Dive into query execution fundamentals, exploring how database systems process and optimize SQL queries for efficient data retrieval and manipulation.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

Waves Audio

Sound Design Techniques - The Killer Chain Part 2: Parallel Processing

Graham Reznick demonstrates advanced parallel processing techniques for horror film sound design, showcasing unique plugin combinations to create immersive and unsettling audio effects.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Understanding Data Engineering

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

• DataCamp
• 2 hours
• Self-Paced
• Free Trial Available

Introduction to Data Engineering

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

• DataCamp
• 4 hours
• Self-Paced
• 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
• Self-Paced
• Free Trial Available