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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
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    New York University

    Machine Learning and Reinforcement Learning in Finance

    Skills you'll gain: Supervised Learning, Model Evaluation, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Deep Learning, Market Liquidity, Tensorflow

    3.7
    Rating, 3.7 out of 5 stars
    ·
    820 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    TensorFlow: Advanced Techniques

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture

    4.8
    Rating, 4.8 out of 5 stars
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    1.7K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    IBM

    IBM Systems and Solutions Architect

    Skills you'll gain: Process Mapping, Business Process Modeling, Business Analysis, Cloud-Native Computing, Data Migration, Software Architecture, Stakeholder Analysis, Systems Design, Extract, Transform, Load, Systems Architecture, Communication Planning, Stakeholder Management, Data Integration, Network Security, Test Planning, Cybersecurity, Enterprise Architecture, Software Testing, Project Management, Information Technology

    4.8
    Rating, 4.8 out of 5 stars
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    291 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Preview
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    S

    Siemens

    Introduction to Model-Based Systems Engineering

    Skills you'll gain: Model Based Systems Engineering, Unified Modeling Language, Systems Engineering, Systems Design, Software Systems, Systems Architecture, Systems Analysis, Product Lifecycle Management, System Requirements, Requirements Analysis, Verification And Validation, Cloud Computing

    4.1
    Rating, 4.1 out of 5 stars
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    71 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Developing Back-End Apps with Node.js and Express

    Skills you'll gain: Node.JS, Full-Stack Web Development, Server Side, Back-End Web Development, Restful API, Web Applications, Web Development, Cloud Computing, Web Servers, Javascript, GitLab, Authentications, JSON, Computer Science, Middleware

    4.5
    Rating, 4.5 out of 5 stars
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    604 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Visualization & Dashboarding with R

    Skills you'll gain: Rmarkdown, Shiny (R Package), Ggplot2, Tidyverse (R Package), Data Visualization, Spatial Data Analysis, Statistical Visualization, Scatter Plots, Plot (Graphics), Dashboard, Data Import/Export, Interactive Data Visualization, R Programming, Data Visualization Software, Geospatial Information and Technology, Data Literacy, Statistical Reporting, Data Manipulation, Data Science, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    448 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    DeepLearning.AI

    Natural Language Processing with Sequence Models

    Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Tensorflow, Text Mining, Embeddings, Applied Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
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    1.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning in the Enterprise

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Google Cloud Platform, AI Workflows, Data Management, Data Governance, Tensorflow, Data Preprocessing, Data Pipelines, Machine Learning, Predictive Modeling, Model Evaluation, Cloud Computing, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Johns Hopkins University

    Reproducible Research

    Skills you'll gain: Rmarkdown, Knitr, Data Sharing, General Science and Research, Statistical Reporting, Data Analysis, Statistical Analysis, Data Validation, Exploratory Data Analysis, R Programming, Technical Communication, GitHub, Git (Version Control System), Software Documentation

    4.6
    Rating, 4.6 out of 5 stars
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    4.2K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Exploring Data Transformation with Google Cloud

    Skills you'll gain: Data Governance, Digital Transformation, Data Strategy, Real Time Data, Google Cloud Platform, Business Transformation, Data Management, Data Warehousing, Data Transformation, Big Data, Cloud Storage, Analytics, Business Intelligence, Data Processing, Data-Driven Decision-Making, Database Systems, Data Migration

    4.8
    Rating, 4.8 out of 5 stars
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    924 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
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    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
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    1.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Cybersecurity Case Studies and Capstone Project

    Skills you'll gain: Digital Forensics, Incident Response, Penetration Testing, Computer Security Incident Management, Cyber Threat Intelligence, Cybersecurity, Security Management, Threat Detection, Cyber Security Assessment, Vulnerability Assessments, Threat Modeling, Malware Protection, Email Security, AI Security, Exploitation techniques, Network Security, Payment Card Industry (PCI) Data Security Standards, Fraud detection

    4.8
    Rating, 4.8 out of 5 stars
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    1.6K reviews

    Intermediate · 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

  • Machine Learning and Reinforcement Learning in Finance: New York University
  • TensorFlow: Advanced Techniques: DeepLearning.AI
  • IBM Systems and Solutions Architect: IBM
  • Introduction to Model-Based Systems Engineering: Siemens
  • Developing Back-End Apps with Node.js and Express: IBM
  • Data Visualization & Dashboarding with R: Johns Hopkins University
  • Natural Language Processing with Sequence Models: DeepLearning.AI
  • Machine Learning in the Enterprise: Google Cloud
  • Reproducible Research: Johns Hopkins University
  • Exploring Data Transformation with Google Cloud: Google Cloud

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Google Cloud Platform (18)
Application Programming Interfaces (17)
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Problem Solving (14)
Object-oriented Programming (13)
Kubernetes (10)
List & Label (10)

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