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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
    L

    LearnKartS

    Advanced Kubernetes

    Skills you'll gain: Kubernetes, Application Deployment, Cloud-Native Computing, Infrastructure as Code (IaC), Containerization, Scalability, CI/CD, Configuration Management, YAML, Security Controls

    4.1
    Rating, 4.1 out of 5 stars
    ·
    20 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    M

    Microsoft

    The R Programming Starter Course

    Skills you'll gain: Debugging, R Programming, Data Structures, Microsoft Development Tools, Software Documentation, Programming Principles, Development Environment, Data Manipulation, Data Transformation, Scripting

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Architecting with Google Compute Engine 한국어

    Skills you'll gain: Cloud Infrastructure, Prompt Engineering, Google Cloud Platform, Identity and Access Management, Load Balancing, Google App Engine, Service Level Agreement, Virtual Machines, Infrastructure As A Service (IaaS), Virtual Networking, Application Deployment, Generative AI, Kubernetes, Cloud Computing, Cloud Services, Cloud Storage, CI/CD, Cloud Computing Architecture, Microservices, Terraform

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Machine Learning with TensorFlow Google Cloud 日本語版

    Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Model Deployment, Data Quality, Data Preprocessing, Model Evaluation, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Machine Learning, Embeddings, Exploratory Data Analysis, Applied Machine Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Logistic Regression, MLOps (Machine Learning Operations), Responsible AI, Data Pipelines, Artificial Neural Networks

    4.4
    Rating, 4.4 out of 5 stars
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    152 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Mastering Software Development in R Capstone

    Skills you'll gain: Software Documentation, Leaflet (Software), Data Preprocessing, Technical Documentation, Data Cleansing, Data Visualization Software, Code Review, R Programming, GitHub, Continuous Integration, Software Testing

    4
    Rating, 4 out of 5 stars
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    44 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Architecting and Installing the Apigee Hybrid API Platform

    Skills you'll gain: API Gateway, Kubernetes, Cloud API, Google Cloud Platform, Hybrid Cloud Computing, Application Programming Interface (API), Application Deployment, Software Installation, Verification And Validation, Containerization, Configuration Management

    4.6
    Rating, 4.6 out of 5 stars
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    44 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Codio

    Data Analysis in R with RStudio & Tidyverse

    Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Correlation Analysis, Tidyverse (R Package), Data Analysis, Regression Analysis, Probability & Statistics, Statistical Methods, Data Import/Export, Statistical Analysis, R Programming, Data Wrangling, Data Manipulation

    4.3
    Rating, 4.3 out of 5 stars
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    19 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Case Western Reserve University

    Practical Geospatial Geostatistical Modeling

    Skills you'll gain: Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Descriptive Statistics, Statistical Modeling, R Programming, Geographic Information Systems, Statistical Analysis, Probability & Statistics, Data-Driven Decision-Making, Oil and Gas, Data Analysis, Simulations, Statistical Methods, Rmarkdown, Data Cleansing, Box Plots, Plot (Graphics)

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Explainable Machine Learning (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Artificial Intelligence, Model Evaluation, Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
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    26 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    J

    Johns Hopkins University

    Importing Data in the Tidyverse

    Skills you'll gain: Data Import/Export, Web Scraping, Tidyverse (R Package), Data Integration, Data Manipulation, Data Transformation, Relational Databases, Google Sheets, Unstructured Data, R Programming, Extensible Markup Language (XML), Spreadsheet Software, Databases, SQL, Application Programming Interface (API)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    51 reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Running a Node.js Container on Google Kubernetes Engine

    Skills you'll gain: Containerization, Kubernetes, Docker (Software), Cloud Deployment, Google Cloud Platform, Cloud Applications, Cloud Computing, Application Deployment, Scalability, Public Cloud, Node.JS, Cloud Storage

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Politics and Ethics of Data Analytics in the Public Sector

    Skills you'll gain: Data Ethics, Policy Analysis, Case Studies, Political Sciences, Data Analysis, Responsible AI, Public Policies, Analytics, Model Evaluation, Data Presentation, Data-Driven Decision-Making, Ethical Standards And Conduct, R Programming, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Advanced Kubernetes: LearnKartS
  • The R Programming Starter Course: Microsoft
  • Architecting with Google Compute Engine 한국어: Google Cloud
  • Machine Learning with TensorFlow Google Cloud 日本語版: Google Cloud
  • Mastering Software Development in R Capstone: Johns Hopkins University
  • Architecting and Installing the Apigee Hybrid API Platform: Google Cloud
  • Data Analysis in R with RStudio & Tidyverse: Codio
  • Practical Geospatial Geostatistical Modeling: Case Western Reserve University
  • Explainable Machine Learning (XAI): Duke University
  • Importing Data in the Tidyverse: Johns Hopkins University

Skills you can learn in Software Development

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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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