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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
    A

    Alberta Machine Intelligence Institute

    Machine Learning Algorithms: Supervised Learning Tip to Tail

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Classification Algorithms, Model Evaluation, Jupyter, Decision Tree Learning, Machine Learning, Data Preprocessing, Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Process Optimization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    417 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Unsupervised Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Feature Engineering, Machine Learning, Text Mining, Data Science, Big Data, Data Analysis, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    356 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Bioinformatic Methods II

    Skills you'll gain: Bioinformatics, Biostatistics, Molecular Biology, Network Analysis, Database Software, Health Informatics, Data Processing, Data Visualization Software, Scientific Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    487 reviews

    Beginner · Course · 1 - 3 Months

  • T

    The University of Sydney

    Introduction to Linear Algebra

    Skills you'll gain: Linear Algebra, Markov Model, Geometry, Arithmetic, Algebra, General Mathematics, Advanced Mathematics, Probability, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Mathematical Modeling, Applied Mathematics, Statistical Methods, Vector Databases, Engineering Analysis, Computational Logic

    4.8
    Rating, 4.8 out of 5 stars
    ·
    38 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Science Foundations: Statistical Inference

    Skills you'll gain: Probability, Statistical Hypothesis Testing, Statistical Inference, Probability & Statistics, Probability Distribution, Statistical Methods, Statistics, Bayesian Statistics, Data Literacy, Sampling (Statistics), Applied Mathematics, Data Ethics, Data Analysis, Statistical Analysis, Quantitative Research, Data Science, Theoretical Computer Science, Sample Size Determination, Artificial Intelligence

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    347 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Graph Search, Shortest Paths, and Data Structures

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Model, Programming Principles, Social Network Analysis, Network Analysis, Theoretical Computer Science, Network Routing, Computational Logic

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Toronto

    Motion Planning for Self-Driving Cars

    Skills you'll gain: Traffic Flow Optimization, Machine Controls, Automation, Robotics, Network Routing, Graph Theory, Algorithms, Computer Vision, Mathematical Modeling, Data Mapping, Predictive Modeling, Spatial Data Analysis, Control Systems, Estimation, Applied Mathematics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    486 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Algorithms for DNA Sequencing

    Skills you'll gain: Bioinformatics, Molecular Biology, Computational Thinking, Data Structures, Python Programming, Data Analysis, Algorithms, Life Sciences

    4.7
    Rating, 4.7 out of 5 stars
    ·
    932 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science Capstone

    Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Predictive Modeling, Data Science, Analytical Skills, Data Analysis, Data Presentation, Data Collection, Data Storytelling, Data Cleansing, Statistical Analysis, Data Manipulation, Data Preprocessing, R Programming, Machine Learning, Natural Language Processing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.2K reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Introduction to HTML

    Skills you'll gain: Hypertext Markup Language (HTML), Front-End Web Development, Web Design and Development, Web Development, Web Development Tools, Web Applications, Web Content, Integrated Development Environments

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.2K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Getting Started with Rstudio

    Skills you'll gain: Interactive Data Visualization, Software Installation, Package and Software Management, R Programming, Integrated Development Environments, Cloud Development, Cloud Hosting

    4.6
    Rating, 4.6 out of 5 stars
    ·
    146 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    Intelligent Digital Factories

    Skills you'll gain: Machine Learning Algorithms, Internet Of Things, Artificial Intelligence, Unsupervised Learning, Python Programming, Embedded Software, Computer Vision, Peripheral Devices, Integrated Development Environments, Deep Learning, Applied Machine Learning, Image Analysis, Machine Learning, Embedded Systems, Civil Engineering, Computer Programming Tools, Wireless Networks, Automation, Digital Transformation, Real Time Data

    4.6
    Rating, 4.6 out of 5 stars
    ·
    312 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Machine Learning Algorithms: Supervised Learning Tip to Tail: Alberta Machine Intelligence Institute
  • Unsupervised Machine Learning: IBM
  • Bioinformatic Methods II: University of Toronto
  • Introduction to Linear Algebra: The University of Sydney
  • Data Science Foundations: Statistical Inference: University of Colorado Boulder
  • Graph Search, Shortest Paths, and Data Structures: Stanford University
  • Motion Planning for Self-Driving Cars: University of Toronto
  • Algorithms for DNA Sequencing: Johns Hopkins University
  • Data Science Capstone: Johns Hopkins University
  • Introduction to HTML: Coursera

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