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  • Parallel Computing

Parallel Computing Courses

Parallel computing courses can help you learn about distributed systems, concurrency, and performance optimization techniques. You can build skills in task scheduling, load balancing, and debugging parallel applications. Many courses introduce tools like MPI (Message Passing Interface) and OpenMP, that support implementing parallel algorithms and enhancing computational efficiency.


More to explore:

Popular Parallel Computing Courses and Certifications


  • Status: Free Trial
    Free Trial
    D

    Duke University

    Rust Programming

    Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), Jenkins, Application Deployment, DevOps, LLM Application, Hugging Face, Large Language Modeling, Test Case, Restful API, Serverless Computing, Generative AI, Amazon Web Services, Command-Line Interface, Natural Language Processing, Computer Programming, Cloud Computing

    3.9
    Rating, 3.9 out of 5 stars
    ·
    280 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Advanced Machine Learning on Google Cloud

    Skills you'll gain: Model Deployment, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Reinforcement Learning, Transfer Learning, Computer Vision, Systems Design, Machine Learning Methods, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Embeddings

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Inferential Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.8K reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of California San Diego

    Hadoop Platform and Application Framework

    Skills you'll gain: Apache Hadoop, Big Data, Data Analysis, Apache Spark, Data Science, PySpark, Data Infrastructure, Data Processing, Distributed Computing, Performance Tuning, Scalability, Data Storage, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    3.3K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    IA Para Todos (Español)

    Skills you'll gain: Market Opportunities, AI Enablement, AI Product Strategy, Responsible AI, Artificial Intelligence, Data Ethics, Applied Machine Learning, Artificial Neural Networks, Data Science, Deep Learning, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft AI Agents: From Foundations to Applications

    Skills you'll gain: Responsible AI, Containerization, Prompt Engineering, AI Orchestration, Scalability, AI Workflows, Application Deployment, Kubernetes, Agentic Workflows, Azure Active Directory, System Monitoring, LangChain, Generative AI Agents, Microservices, Microsoft Azure, Artificial Intelligence, Distributed Computing, Serverless Computing, Natural Language Processing, Reinforcement Learning

    3.1
    Rating, 3.1 out of 5 stars
    ·
    16 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • E

    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Embedded Software, Data Preprocessing, Embedded Systems, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Model Deployment, Convolutional Neural Networks, Data Analysis, Feature Engineering, Computer Programming, Digital Signal Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    751 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Unlock Powerful Automation and Analysis with Power Platform

    Skills you'll gain: Microsoft Power Platform, Microsoft Power Automate/Flow, Power BI, Dashboard, No-Code Development, Data Visualization, Data Integration, Interactive Data Visualization, Microsoft 365, Business Intelligence, Business Process Automation, Application Development, Data Analysis, Performance Analysis, Generative AI Agents, Application Design, Automation, Data Security, Business Process, Microsoft Teams

    4.3
    Rating, 4.3 out of 5 stars
    ·
    317 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Getting Started with Data Visualization in R

    Skills you'll gain: Rmarkdown, Data Visualization, Statistical Visualization, Ggplot2, Data Import/Export, Data Visualization Software, R Programming, Tidyverse (R Package), Statistical Reporting, Data Manipulation, Scatter Plots, Data Wrangling, Histogram

    4.7
    Rating, 4.7 out of 5 stars
    ·
    306 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Gmail

    Skills you'll gain: Gmail, Google Workspace, Email Security, Productivity Software, Organizational Skills, Business Communication, Business Solutions, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Developing Industrial Internet of Things

    Skills you'll gain: Machine Learning Algorithms, Real-Time Operating Systems, Big Data, Internet Of Things, Product Development, Data Preprocessing, Analytics, Embedded Software, Embedded Systems, File Systems, New Product Development, Data Analysis, Debugging, Model Based Systems Engineering, Wireless Networks, General Networking, Computer Engineering, Cybersecurity, IBM Cloud, Failure Analysis

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    854 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free
    Free
    P

    Princeton University

    Computer Science: Programming with a Purpose

    Skills you'll gain: Programming Principles, Computer Programming, Object Oriented Programming (OOP), Performance Tuning, Data Structures, Java Programming, Java, Program Development, File I/O, Computational Thinking, Computer Science, Algorithms, Animations, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.3K reviews

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular parallel computing courses

  • Rust Programming: Duke University
  • Advanced Machine Learning on Google Cloud: Google Cloud
  • Inferential Statistics: Duke University
  • Hadoop Platform and Application Framework: University of California San Diego
  • IA Para Todos (Español): DeepLearning.AI
  • Microsoft AI Agents: From Foundations to Applications: Microsoft
  • Introduction to Embedded Machine Learning: Edge Impulse
  • Unlock Powerful Automation and Analysis with Power Platform: Microsoft
  • Getting Started with Data Visualization in R: Johns Hopkins University
  • Gmail: Google Cloud

Skills you can learn in Software Development

Programming Language (34)
Google (25)
Computer Program (21)
Software Testing (21)
Web (19)
Google Cloud Platform (18)
Application Programming Interfaces (17)
Data Structure (16)
Problem Solving (14)
Object-oriented Programming (13)
Kubernetes (10)
List & Label (10)

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