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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: Preview
    Preview
    U

    Universidad de los Andes

    Programación en Python

    Skills you'll gain: File I/O, Data Visualization Software, Programming Principles, Computational Thinking, Matplotlib, Python Programming, NumPy, Algorithms, Computer Programming, Pandas (Python Package), Debugging, Data Manipulation, Integrated Development Environments, Data Structures, Data Analysis, Scripting

    4.5
    Rating, 4.5 out of 5 stars
    Ā·
    211 reviews

    Beginner Ā· Course Ā· 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    IoT Devices

    Skills you'll gain: Internet Of Things, Wireless Networks, Network Protocols, Infrastructure Security, Emerging Technologies, Data Science, Embedded Systems, General Networking, Big Data, Amazon Web Services, Cloud Platforms, Computer Hardware

    4.7
    Rating, 4.7 out of 5 stars
    Ā·
    528 reviews

    Intermediate Ā· Course Ā· 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    Ā·
    489 reviews

    Advanced Ā· Course Ā· 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, Machine Learning Methods, Image Quality, Data Preprocessing, Artificial Neural Networks, Matlab, Applied Machine Learning, PyTorch (Machine Learning Library), 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
    Ā·
    358 reviews

    Beginner Ā· Professional Certificate Ā· 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Device-based Models with TensorFlow Lite

    Skills you'll gain: Model Deployment, iOS Development, Android Development, Tensorflow, Swift Programming, Mobile Development, Applied Machine Learning, Embedded Systems, Computer Vision, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    Ā·
    655 reviews

    Intermediate Ā· Course Ā· 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Introduction to Applied Business Analytics

    Skills you'll gain: Business Analysis, Analytics, Data Preprocessing, Data Analysis, Data-Driven Decision-Making, Data Presentation, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    Ā·
    319 reviews

    Beginner Ā· Course Ā· 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Modern Data Analytics with Python, Excel & Generative AI

    Skills you'll gain: Business Intelligence, Excel Macros, Pandas (Python Package), Prompt Engineering, Forecasting, Data Storytelling, Time Series Analysis and Forecasting, Regression Analysis, Data Quality, Responsible AI, ChatGPT, Microsoft Excel, Data Analysis, Report Writing, Interactive Data Visualization, Data Modeling, Generative AI, Data Visualization, Exploratory Data Analysis, Statistical Analysis

    4.4
    Rating, 4.4 out of 5 stars
    Ā·
    439 reviews

    Intermediate Ā· Specialization Ā· 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Advanced Programming in Kotlin

    Skills you'll gain: Kotlin, Android Development, Android Studio, Unit Testing, Object Oriented Programming (OOP), Mobile Development, Test Driven Development (TDD), Software Testing, Functional Design

    4.7
    Rating, 4.7 out of 5 stars
    Ā·
    126 reviews

    Intermediate Ā· Course Ā· 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Statistics for Genomic Data Science

    Skills you'll gain: Biostatistics, Bioinformatics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Statistics, R Programming, Probability & Statistics, Data Preprocessing, Data Analysis, Statistical Inference, Regression Analysis, Data Pipelines, Data Transformation, Logistic Regression

    4.2
    Rating, 4.2 out of 5 stars
    Ā·
    378 reviews

    Mixed Ā· Course Ā· 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Rust (Programming Language), Microsoft Copilot, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Big Data

    4.1
    Rating, 4.1 out of 5 stars
    Ā·
    216 reviews

    Advanced Ā· Course Ā· 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Virginia

    Product Analytics and AI

    Skills you'll gain: Customer Analysis, Analytics, Business Analytics, Demand Planning, Usability Testing, Product Management, Customer Insights, A/B Testing, Agile Methodology, User Experience, Data-Driven Decision-Making, Predictive Analytics, Data Science, Product Testing, Agile Software Development, Software Development

    4.7
    Rating, 4.7 out of 5 stars
    Ā·
    502 reviews

    Beginner Ā· Course Ā· 1 - 4 Weeks

  • C

    Coursera

    Programming in C#: A comprehensive approach to C# Fundamentals

    Skills you'll gain: Microsoft Visual Studio, C# (Programming Language), Integrated Development Environments, Programming Principles, Computer Programming, Command-Line Interface, Computational Logic

    4.4
    Rating, 4.4 out of 5 stars
    Ā·
    219 reviews

    Beginner Ā· Guided Project Ā· Less Than 2 Hours

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

  • Programación en Python:Ā Universidad de los Andes
  • IoT Devices:Ā University of Illinois Urbana-Champaign
  • Probabilistic Graphical Models 2: Inference:Ā Stanford University
  • MathWorks Computer Vision Engineer:Ā MathWorks
  • Device-based Models with TensorFlow Lite:Ā DeepLearning.AI
  • Introduction to Applied Business Analytics:Ā University of Illinois Urbana-Champaign
  • Modern Data Analytics with Python, Excel & Generative AI:Ā Coursera
  • Advanced Programming in Kotlin:Ā Meta
  • Statistics for Genomic Data Science:Ā Johns Hopkins University
  • DevOps, DataOps, MLOps:Ā Duke University

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