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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.


Popular Parallel Computing Courses and Certifications


  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    C Programming: Advanced Data Types - 5

    Skills you'll gain: C (Programming Language), Embedded Systems, Data Structures, Embedded Software, Programming Principles, Computer Engineering, System Programming, Algorithms, Computer Programming, Computer Programming Tools, Debugging

    4.4
    Rating, 4.4 out of 5 stars
    ·
    58 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Architecting with Google Kubernetes Engine: Foundations en Español

    Skills you'll gain: Kubernetes, Containerization, Google Cloud Platform, Cloud Services, Application Deployment, Cloud Infrastructure, Cloud Computing Architecture, Cloud Management, Cloud Computing, Identity and Access Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    172 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Linux: Introduction to Shell Scripting for DevOps

    Skills you'll gain: Bash (Scripting Language), Shell Script, Linux Commands, Linux, Scripting, Unix Commands, DevOps, Scripting Languages, File Management, Unix, Command-Line Interface

    4.6
    Rating, 4.6 out of 5 stars
    ·
    84 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Basic Image Classification with TensorFlow

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Machine Learning, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    847 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    The PL-900 Practice Exam

    Skills you'll gain: Microsoft Power Platform, Power BI, Microsoft Power Automate/Flow, Power Apps Component Framework, No-Code Development, Computing Platforms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    36 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Clemson University

    Design and Analysis of Algorithms

    Skills you'll gain: Data Structures, Algorithms, Computational Thinking, Theoretical Computer Science, Computer Programming, Computer Science, Probability, Design Strategies, Analysis, Performance Testing, Scalability

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    33 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Google Sheets: Getting Started

    Skills you'll gain: Google Workspace, Data Sharing, Collaborative Software, Spreadsheet Software, Gmail, Cloud Computing, Communication

    3.3
    Rating, 3.3 out of 5 stars
    ·
    7 reviews

    Beginner · Project · Less Than 2 Hours

  • G

    Google Cloud

    Explore and Evaluate Models using Model Garden

    Skills you'll gain: Model Evaluation, Google Cloud Platform, Model Deployment, Cloud Computing, Generative AI

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Codio

    Intro to Operating Systems 4: Persistence

    Skills you'll gain: File Systems, Operating Systems, Unix, Data Integrity, Debugging, File I/O, Linux, Distributed Computing, Data Storage, C (Programming Language), System Programming, Command-Line Interface, Data Security, Computer Hardware, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    72 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    I

    IBM

    Application Modernization for Enterprise Systems

    Skills you'll gain: Event-Driven Programming, DevOps, Data Integration, z/OS, IBM Cloud, Hybrid Cloud Computing, CI/CD, Mainframe Technologies, Mainframe Computing, Cloud Development, Cloud Applications, Enterprise Application Management, Application Deployment, Middleware, Data Access, Application Design, Development Environment, Cloud API, Application Programming Interface (API), Computer Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Internet of Things V2: Setting up and Using Cloud Services

    Skills you'll gain: Cloud Development, Cloud Computing Architecture, Cloud Computing, Amazon Web Services, Cloud Infrastructure, Cloud Services, Internet Of Things, Amazon Elastic Compute Cloud, Linux Administration, Software Installation, Embedded Systems, Machine Learning, Command-Line Interface, Restful API

    4.6
    Rating, 4.6 out of 5 stars
    ·
    42 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Visualization in R with ggplot2

    Skills you'll gain: Ggplot2, Scatter Plots, Plot (Graphics), Data Visualization, Data Visualization Software, Heat Maps, R Programming, Graphical Tools, Data Wrangling, Tidyverse (R Package), Graphics Software

    4.9
    Rating, 4.9 out of 5 stars
    ·
    131 reviews

    Intermediate · Course · 1 - 4 Weeks

Searches related to parallel computing

parallel computing with mpi
introduction to high-performance and parallel computing
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1…106107108…352

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

  • C Programming: Advanced Data Types - 5: Dartmouth College
  • Architecting with Google Kubernetes Engine: Foundations en Español: Google Cloud
  • Linux: Introduction to Shell Scripting for DevOps: Coursera
  • Basic Image Classification with TensorFlow: Coursera
  • The PL-900 Practice Exam: Microsoft
  • Design and Analysis of Algorithms: Clemson University
  • Google Sheets: Getting Started: Google Cloud
  • Explore and Evaluate Models using Model Garden: Google Cloud
  • Intro to Operating Systems 4: Persistence: Codio
  • Application Modernization for Enterprise Systems: IBM

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