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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
    J

    Johns Hopkins University

    Introduction to Concurrent Programming with GPUs

    Skills you'll gain: C and C++, C++ (Programming Language), System Programming, Programming Principles, Computer Architecture, Data Access, Program Development, Python Programming, Computer Programming Tools, Computer Hardware, Development Environment

    2.6
    Rating, 2.6 out of 5 stars
    ·
    139 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Developer

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Prompt Patterns, Software Development Life Cycle, Retrieval-Augmented Generation, Software Architecture, Computer Vision, LangChain, ChatGPT, Restful API, Responsive Web Design, Generative AI, Responsible AI, IBM Cloud, Data Import/Export, AI Workflows, Python Programming, Engineering Software, Machine Learning, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    81K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Go and C++: Programming in Two Successor Languages of C

    Skills you'll gain: C++ (Programming Language), Go (Programming Language), File I/O, Data Structures, Object Oriented Programming (OOP), Software Design Patterns, Debugging, Computer Programming, Unit Testing, Programming Principles, Algorithms, C (Programming Language), Program Development, Integrated Development Environments, Graph Theory, Software Testing, Artificial Intelligence, Integration Testing, Software Design, System Design and Implementation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to R Programming for Data Science

    Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments

    4.5
    Rating, 4.5 out of 5 stars
    ·
    611 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science: Foundations using R

    Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, R (Software), Dimensionality Reduction, Data Visualization Software, Data Integration, Knitr, Data Sharing, GitHub, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    48K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    Introduction to Object-Oriented Programming in C++

    Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Computer Programming, Programming Principles, Interactive Design, Program Development, File I/O, Command-Line Interface, Control Panels, Development Environment, Debugging

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    182 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Java Programming for Beginners

    Skills you'll gain: Java Programming, Java, Development Environment, Computer Programming, Integrated Development Environments, Object Oriented Programming (OOP), Data Structures, File I/O, Debugging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    134 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Crash Course on Python

    Skills you'll gain: Program Development, Programming Principles, Python Programming, Computer Programming, Computational Thinking, Problem Management, Data Structures, Integrated Development Environments, Debugging, Development Environment

    4.8
    Rating, 4.8 out of 5 stars
    ·
    40K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    Concurrency in Go

    Skills you'll gain: Go (Programming Language), Algorithms, System Programming, Operating Systems, Computer Architecture

    4.7
    Rating, 4.7 out of 5 stars
    ·
    796 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    P

    Princeton University

    Computer Science: Algorithms, Theory, and Machines

    Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Algorithms, Programming Principles, Computational Logic, Java Programming, Computer Hardware, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    746 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    C for Everyone, Part 1: Programming Fundamentals

    Skills you'll gain: Programming Principles, Software Documentation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Introduction to Programming with Python and Java

    Skills you'll gain: File I/O, Matplotlib, Object Oriented Design, Java, Object Oriented Programming (OOP), Data Analysis, Unit Testing, Pandas (Python Package), Java Programming, Eclipse (Software), Application Development, Data Visualization, Data Structures, Data Science, Data Cleansing, Debugging, Programming Principles, Computer Programming Tools, Python Programming, Computer Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.9K reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Introduction to Concurrent Programming with GPUs: Johns Hopkins University
  • IBM AI Developer: IBM
  • Go and C++: Programming in Two Successor Languages of C: University of California, Santa Cruz
  • Introduction to R Programming for Data Science: IBM
  • Data Science: Foundations using R: Johns Hopkins University
  • Introduction to Object-Oriented Programming in C++: University of London
  • Java Programming for Beginners: IBM
  • Crash Course on Python: Google
  • Concurrency in Go: University of California, Irvine
  • Computer Science: Algorithms, Theory, and Machines: Princeton University

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