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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
    U

    University of California, Irvine

    The Blockchain System

    Skills you'll gain: Blockchain, Data Sharing, Cryptography, Transaction Processing, Fraud detection, Distributed Computing, FinTech, Systems Architecture, Emerging Technologies, Software Versioning, Data Validation

    4.2
    Rating, 4.2 out of 5 stars
    ·
    41 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Social Determinants of Health

    Skills you'll gain: Social Determinants Of Health, Health Disparities, Health Equity, Health Policy, Systems Thinking, Health Informatics, Public Health, Community Health, Social Impact, Data Analysis, R Programming, Data Visualization, Data-Driven Decision-Making

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Image Analysis, Machine Learning, Computer Vision, Model Evaluation, Supervised Learning, Algorithms, Statistical Methods, Linear Algebra, Probability

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    W

    Whizlabs

    Getting Started with Microsoft Entra

    Skills you'll gain: Role-Based Access Control (RBAC), Azure Active Directory, Authentications, Identity and Access Management, User Provisioning, Microsoft Azure, Multi-Factor Authentication, Authorization (Computing), Single Sign-On (SSO), User Accounts, Security Controls, Proxy Servers

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Orchestrating a TFX Pipeline with Airflow

    Skills you'll gain: Apache Airflow, Tensorflow, MLOps (Machine Learning Operations), Google Cloud Platform, Data Pipelines, Machine Learning Methods, Model Deployment, Model Evaluation, Cloud Computing, Machine Learning

    1.3
    Rating, 1.3 out of 5 stars
    ·
    7 reviews

    Beginner · Project · Less Than 2 Hours

  • C

    Coursera

    Data Visualization using dplyr and ggplot2 in R

    Skills you'll gain: Ggplot2, Tidyverse (R Package), Data Visualization, Data Analysis, Exploratory Data Analysis, R Programming, Data Visualization Software, Data Manipulation, R (Software)

    5
    Rating, 5 out of 5 stars
    ·
    20 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Ingesting FHIR Data with the Healthcare API

    Skills you'll gain: Data Import/Export, Data Store, Cloud API, Health Informatics, Electronic Medical Record System, Google Cloud Platform, Health Care, Data Integration, Data Modeling, Cloud Storage

    Beginner · Project · Less Than 2 Hours

  • G

    Google Cloud

    Cloud Functions: Qwik Start - Command Line

    Skills you'll gain: Cloud Deployment, Google Cloud Platform, Cloud Applications, Command-Line Interface, Cloud Computing, Serverless Computing, Test Tools, Cloud Services, System Monitoring

    Beginner · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    AI Machine Learning with R & Python Projects

    Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Data Preprocessing, Linear Algebra, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    16 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Case Western Reserve University

    Basic Principles of Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Statistical Modeling, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Data-Driven Decision-Making, Regression Analysis, Correlation Analysis, Data Validation, Histogram, Box Plots, Simulation and Simulation Software, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Smart Analytics, Machine Learning, and AI on GCP 日本語版

    Skills you'll gain: Model Deployment, Unstructured Data, Google Cloud Platform, MLOps (Machine Learning Operations), Big Data, Tensorflow, Analytics, Machine Learning, Cloud API, Jupyter, Artificial Intelligence, Natural Language Processing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    31 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    IA generativa: explora el panorama

    Skills you'll gain: Responsible AI, Google Gemini, Generative AI, Google Cloud Platform, AI Product Strategy, AI Enablement, Cloud Platforms, Artificial Intelligence, No-Code Development, MLOps (Machine Learning Operations), Business Requirements

    Beginner · Course · 1 - 3 Months

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

  • The Blockchain System: University of California, Irvine
  • Introduction to Social Determinants of Health: University of Minnesota
  • Introduction to Neural Networks: Johns Hopkins University
  • Getting Started with Microsoft Entra: Whizlabs
  • Orchestrating a TFX Pipeline with Airflow: Google Cloud
  • Data Visualization using dplyr and ggplot2 in R: Coursera
  • Ingesting FHIR Data with the Healthcare API: Google Cloud
  • Cloud Functions: Qwik Start - Command Line: Google Cloud
  • AI Machine Learning with R & Python Projects: EDUCBA
  • Basic Principles of Geostatistical Geospatial Modeling: Case Western Reserve University

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