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  • Parallel Programming

Parallel Programming Courses

Parallel programming courses can help you learn multithreading, synchronization, and performance optimization techniques. You can build skills in designing algorithms that efficiently utilize multiple processors and managing shared resources. Many courses introduce tools like OpenMP, MPI, and CUDA, that support implementing parallel computing solutions in various applications, from scientific simulations to data processing tasks.


Popular Parallel Programming Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Techniques and Models

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Model Evaluation, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Data Analysis, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    495 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    K

    KodeKloud

    Python for the Absolute Beginner

    Skills you'll gain: Python Programming, Programming Principles, Data Structures, Debugging, Computer Programming, Scripting, Scripting Languages

    4.7
    Rating, 4.7 out of 5 stars
    ·
    28 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Advanced Data Structures in Java

    Skills you'll gain: Graph Theory, Data Structures, Java Programming, Java, Object Oriented Design, Software Design, Algorithms, Theoretical Computer Science, Maintainability, Object Oriented Programming (OOP), Network Routing, Computational Thinking, Application Development

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Python for Data Analytics

    Skills you'll gain: Pandas (Python Package), Data Visualization, Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Exploratory Data Analysis, Descriptive Statistics, NumPy, Data Manipulation, Programming Principles, Python Programming, Regression Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    B

    Birla Institute of Technology & Science, Pilani

    Object Oriented Programming

    Skills you'll gain: Java Programming, Object Oriented Programming (OOP), File I/O, Programming Principles, Data Structures, Software Engineering, Unit Testing, Debugging, OS Process Management, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    C Programming: Using Linux Tools and Libraries - 7

    Skills you'll gain: File I/O, Embedded Software, C (Programming Language), Linux, Embedded Systems, Build Tools, Command-Line Interface, Operating Systems, Program Development, Software Installation, Development Environment, Application Development, Computer Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    31 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Enhance your Data Analytics Career

    Skills you'll gain: Generative AI, Data Storytelling, OpenAI, Analytics, Prompt Engineering Tools, Data Analysis, Interactive Data Visualization, Dashboard, Data Ethics, Responsible AI, Data Visualization Software, Statistical Analysis, Python Programming, Data Processing, Data Cleansing, Data Manipulation, Query Languages

    4.6
    Rating, 4.6 out of 5 stars
    ·
    173 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    ARM Cortex (STM32) Fundamentals: Building Embedded Systems

    Skills you'll gain: Embedded Systems, Embedded Software, C (Programming Language), Electronic Hardware, Programming Principles, Control Systems, Computer Architecture, Computer Programming, Debugging, Data Storage

    4.5
    Rating, 4.5 out of 5 stars
    ·
    41 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Computer Vision, Dimensionality Reduction, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    286 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Software Testing and Automation

    Skills you'll gain: Open Web Application Security Project (OWASP), Cucumber (Software), Software Testing, Selenium (Software), Gherkin (Scripting Language), JUnit, Verification And Validation, Test Automation, Unit Testing, Security Testing, Regression Testing, System Testing, Test Case, Software Development Tools, Testability, White-Box Testing, Behavior-Driven Development, Code Coverage, Performance Testing, Development Testing

    4.2
    Rating, 4.2 out of 5 stars
    ·
    997 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Fitting Statistical Models to Data with Python

    Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Model Evaluation, Statistical Analysis, Statistical Programming, Statistical Machine Learning, Regression Analysis, Predictive Modeling, Jupyter, Logistic Regression, Python Programming, Data Visualization Software

    4.4
    Rating, 4.4 out of 5 stars
    ·
    714 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    The Complete Quantum Computing Course for Beginners

    Skills you'll gain: Python Programming, Algorithms, Computer Programming, Theoretical Computer Science, Linear Algebra, Mathematics and Mathematical Modeling, Computer Science, Algebra, Object Oriented Programming (OOP), IBM Cloud, Scripting, Probability, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Mathematical Modeling, Data Structures, Data Manipulation, Probability & Statistics, Applied Mathematics, Software Installation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    81 reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
  • Python for the Absolute Beginner: KodeKloud
  • Advanced Data Structures in Java: University of California San Diego
  • Python for Data Analytics: DeepLearning.AI
  • Object Oriented Programming: Birla Institute of Technology & Science, Pilani
  • C Programming: Using Linux Tools and Libraries - 7: Dartmouth College
  • Generative AI: Enhance your Data Analytics Career : IBM
  • ARM Cortex (STM32) Fundamentals: Building Embedded Systems: EDUCBA
  • Deep Learning and Reinforcement Learning: IBM
  • Software Testing and Automation: University of Minnesota

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