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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 Colorado Boulder

    Parallel Computing with MPI

    Skills you'll gain: File I/O, C and C++, Data Import/Export, C++ (Programming Language), Communication Systems

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Java and Spring Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Data Ethics, Generative AI Agents, Model Deployment, Restful API, Software Design Documents, Software Design, AI Integrations, Application Deployment, AI literacy, Software Architecture, Agentic Workflows, Continuous Integration, Artificial Intelligence and Machine Learning (AI/ML), Software Development, Java Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    É

    École Polytechnique Fédérale de Lausanne

    Big Data Analysis with Scala and Spark (Scala 2 version)

    Skills you'll gain: Apache Spark, Scala Programming, Apache Hadoop, Big Data, Data Manipulation, Distributed Computing, Data Processing, Performance Tuning, SQL, Data Transformation, Network Performance Management, Data Persistence, Data Analysis, Programming Principles

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, PyTorch (Machine Learning Library), Large Language Modeling, Retrieval-Augmented Generation, Computer Vision, Unsupervised Learning, Generative Model Architectures, Prompt Patterns, Generative AI, PySpark, Keras (Neural Network Library), Supervised Learning, LLM Application, Generative AI Agents, Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free
    Free
    P

    Princeton University

    Algorithms, Part I

    Skills you'll gain: Data Structures, Algorithms, Graph Theory, Java, Performance Testing, Java Programming, Computational Thinking, Memory Management, Spatial Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    12K reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Supervised Machine Learning: Regression and Classification

    Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, Model Training, NumPy, Machine Learning Algorithms, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Model Optimization, Regression Analysis, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    32K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Using Databases with Python

    Skills you'll gain: Database Design, Data Store, Database Software, Relational Databases, SQL, Databases, Data Visualization Software, Database Management, Web Scraping, Data Modeling, Object Oriented Programming (OOP), Data Processing, Python Programming, Application Programming Interface (API)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    22K reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Advanced .NET with TPL & PLINQ: Conducting Performance Boost

    Skills you'll gain: .NET Framework, Performance Tuning, Debugging, Health Informatics, Performance Testing, C# (Programming Language)

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Simulation, Algorithm Analysis, and Pointers

    Skills you'll gain: File I/O, Simulations, C (Programming Language), Computational Thinking, Automation, Algorithms, Data Structures, Programming Principles, Memory Management

    4.4
    Rating, 4.4 out of 5 stars
    ·
    36 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Databases and SQL for Data Science with Python

    Skills you'll gain: SQL, Database Management, Relational Databases, Stored Procedure, Databases, Query Languages, Database Theory, Data Access, Jupyter, Data Manipulation, Data Analysis, Transaction Processing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    23K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    É

    École Polytechnique Fédérale de Lausanne

    Programming Reactive Systems

    Skills you'll gain: Scala Programming, Scalability, Distributed Computing, Dataflow, Event-Driven Programming, Microservices, System Design and Implementation, Software Architecture, Data Pipelines, Software Design Patterns, Software Design, Functional Design, Cloud Computing

    3.9
    Rating, 3.9 out of 5 stars
    ·
    31 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to HTML5

    Skills you'll gain: Hypertext Markup Language (HTML), Web Content Accessibility Guidelines, Web Language, Web Design, HTML and CSS, Verification And Validation, Web Design and Development, Cloud Hosting, Web Development, Front-End Web Development, Web Content, Web Development Tools, GitHub, Semantic Web, Responsive Web Design, Integrated Development Environments, Web Servers, Servers, Cascading Style Sheets (CSS), Programming Principles

    4.7
    Rating, 4.7 out of 5 stars
    ·
    28K reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Parallel Computing with MPI: University of Colorado Boulder
  • Generative AI for Java and Spring Developers: IBM
  • Big Data Analysis with Scala and Spark (Scala 2 version): École Polytechnique Fédérale de Lausanne
  • IBM AI Engineering: IBM
  • Algorithms, Part I: Princeton University
  • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
  • Using Databases with Python: University of Michigan
  • Advanced .NET with TPL & PLINQ: Conducting Performance Boost: Coursera
  • Simulation, Algorithm Analysis, and Pointers: University of Colorado System
  • Databases and SQL for Data Science with Python: IBM

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