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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
    G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Engineer Professional Certificate en Español

    Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Kubernetes, Google Cloud Platform, Containerization, Load Balancing, Cloud Applications, Cloud Computing, Infrastructure As A Service (IaaS), Cloud Computing Architecture, Cloud Services, Application Deployment, Cloud Storage, Cloud Management, Cloud-Native Computing, Data Storage, Cloud Deployment, Virtual Machines, Generative AI, Virtual Networking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.7K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Google Workspace with Gemini

    Skills you'll gain: Google Gemini, Storytelling, Video Production, Gemini, Google Docs, Google Workspace, Video Editing, Responsible AI, Proofreading, Prompt Engineering, Productivity Software, Gmail, Workflow Management, LLM Application, AI Enablement, Generative AI, Writing, Collaboration, Project Management, Business Communication

    4.5
    Rating, 4.5 out of 5 stars
    ·
    323 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    A

    Atlassian

    Version Control with Git

    Skills you'll gain: Git (Version Control System), Version Control, GitHub, Bitbucket, Software Versioning, Software Configuration Management, Command-Line Interface, Code Review

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Statistics for Data Science

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, Probability Distribution, R Programming, Biostatistics, Data Science, Statistics, Mathematical Modeling, Data Analysis, Data Modeling, Applied Mathematics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    787 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Full-Stack Developer

    Skills you'll gain: CI/CD, Cascading Style Sheets (CSS), GitHub, C# (Programming Language), HTML and CSS, Azure DevOps, Load Balancing, Continuous Integration, Git (Version Control System), Role-Based Access Control (RBAC), Scalability, Object Oriented Programming (OOP), Authentications, ASP.NET, Full-Stack Web Development, Web Development, SQL, Microsoft Copilot, .NET Framework, Graph Theory

    4.6
    Rating, 4.6 out of 5 stars
    ·
    378 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free
    Free
    M

    Microsoft

    Build a computer vision app with Azure Cognitive Services

    Skills you'll gain: Application Programming Interface (API), Microsoft Azure, Cloud API, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), User Accounts, Image Analysis, Artificial Intelligence, Cloud Computing, Software Development

    4.5
    Rating, 4.5 out of 5 stars
    ·
    512 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Build Basic Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Convolutional Neural Networks, Responsible AI, Artificial Neural Networks, Data Ethics, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Data-Driven Decision-Making, Model Evaluation, Probability Distribution

    3.8
    Rating, 3.8 out of 5 stars
    ·
    798 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Fundamentals of Machine Learning for Healthcare

    Skills you'll gain: Healthcare Ethics, Data Ethics, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Responsible AI, Artificial Neural Networks, Healthcare Industry Knowledge, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Deep Learning, Convolutional Neural Networks, Health Policy, Data Preprocessing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    611 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM z/OS Mainframe Practitioner

    Skills you'll gain: Job Control Language (JCL), Mainframe Computing, z/OS, Virtualization, Unix, IBM DB2, IBM Cloud, Data Management, Virtual Machines, Data Storage, Operating System Administration, Infrastructure Architecture, System Programming, Operating Systems, Unix Commands, File Systems, Linux, Computer Architecture, Control Panels, Command-Line Interface

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

    Intermediate · Professional Certificate · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    MathWorks Computer Vision Engineer

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Transfer Learning, Deep Learning, Image Quality, Data Preprocessing, Artificial Neural Networks, Matlab, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning Methods, Machine Learning, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Traffic Flow Optimization, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    357 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Amsterdam

    Inferential Statistics

    Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, Logistic Regression, R Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    608 reviews

    Mixed · Course · 1 - 3 Months

Searches related to parallel computing

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

  • Preparing for Google Cloud Certification: Cloud Engineer Professional Certificate en Español: Google Cloud
  • Google Workspace with Gemini: Google Cloud
  • Version Control with Git: Atlassian
  • Advanced Statistics for Data Science: Johns Hopkins University
  • Microsoft Full-Stack Developer: Microsoft
  • Build a computer vision app with Azure Cognitive Services: Microsoft
  • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI
  • Bayesian Statistics: Duke University
  • Fundamentals of Machine Learning for Healthcare: Stanford University
  • IBM z/OS Mainframe Practitioner: IBM

Skills you can learn in Software Development

Programming Language (34)
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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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