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  • Parallel Computing

Parallel Computing Courses

Parallel computing courses can help you learn about distributed systems, concurrency, and performance optimization techniques. You can build skills in task scheduling, load balancing, and debugging parallel applications. Many courses introduce tools like MPI (Message Passing Interface) and OpenMP, that support implementing parallel algorithms and enhancing computational efficiency.


Popular Parallel Computing Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    AI Fundamentals for Non-Data Scientists

    Skills you'll gain: Generative AI, Data Management, Big Data, Machine Learning Algorithms, Machine Learning, Tensorflow, Artificial Intelligence, Deep Learning, Algorithms, Process Optimization, Data Analysis, Artificial Neural Networks, Natural Language Processing

    4.8
    Rating, 4.8 out of 5 stars
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    924 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    A

    Multiple educators

    DeepLearning.AI Data Engineering

    Skills you'll gain: Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Architecture, Requirements Analysis, Data Processing, Data Warehousing, Query Languages, Apache Hadoop, Extract, Transform, Load, Data Lakes, Amazon Web Services, File Systems, Apache Spark, Database Systems, Feature Engineering, Data Integration, AWS Kinesis, Data Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    545 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Introduction to Agile Methods

    Skills you'll gain: Scrum (Software Development), Agile Methodology, Systems Engineering, Risk Management, Lean Methodologies, Software Development Methodologies, Scalability, Sprint Retrospectives, Agile Project Management, Systems Development Life Cycle, Team Management, Waterfall Methodology, Sprint Planning, Backlogs

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Engineering

    Skills you'll gain: Data Store, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, NoSQL, Data Security, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    IBM

    Developing AI Applications with Python and Flask

    Skills you'll gain: Restful API, Flask (Web Framework), Application Deployment, Web Applications, Python Programming, IBM Cloud, Server Side, Artificial Intelligence, Code Review, Programming Principles, Development Environment, Unit Testing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
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    E

    EDUCBA

    Deep Learning with R: Build & Predict Neural Networks

    Skills you'll gain: Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Programming, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Manipulation, Performance Testing, Data Cleansing

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    Status: Preview
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    Northeastern University

    Applied Natural Language Processing in Engineering Part 2

    Skills you'll gain: Large Language Modeling, Natural Language Processing, PyTorch (Machine Learning Library), Artificial Neural Networks, Machine Learning Methods, Deep Learning, Applied Machine Learning, Statistical Machine Learning, Algorithms

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    AI Deep Learning Projects with TensorFlow

    Skills you'll gain: Tensorflow, Computer Vision, Deep Learning, Amazon Elastic Compute Cloud, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Application Deployment, Applied Machine Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Software Installation, Feature Engineering, Application Development, Data Processing, System Requirements

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    From Recipe to Chef - Become an LLM Engineer

    Skills you'll gain: Prompt Engineering, LangChain, Large Language Modeling, Data Quality, No-Code Development, MLOps (Machine Learning Operations), Application Deployment, Responsible AI, Natural Language Processing, Application Development, Application Programming Interface (API), Scalability

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Software, Programming, and Databases

    Skills you'll gain: Generative AI, Cloud Computing Architecture, Artificial Intelligence, Data Strategy, Data-Driven Decision-Making, Computer Programming

    4.7
    Rating, 4.7 out of 5 stars
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    433 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    G

    Google Cloud

    Google Cloud Data Analytics

    Skills you'll gain: Looker (Software), Responsible AI, Data Lakes, Data Storytelling, Data Governance, Google Gemini, Data Visualization, Dashboard, Data Architecture, Data Pipelines, Data Visualization Software, Data Management, Cloud Infrastructure, Generative AI, Data Cleansing, Cloud Storage, Data Transformation, Cloud Computing, Identity and Access Management, Data Presentation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    215 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    D

    Duke University

    Data Modeling and Prediction with R

    Skills you'll gain: Data-Driven Decision-Making, Statistical Modeling, Predictive Modeling, Regression Analysis, R Programming, Data Analysis, Probability & Statistics, Statistical Hypothesis Testing, Statistical Inference, Statistical Analysis

    Beginner · Course · 1 - 4 Weeks

Searches related to parallel computing

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

  • AI Fundamentals for Non-Data Scientists: University of Pennsylvania
  • DeepLearning.AI Data Engineering: DeepLearning.AI
  • Introduction to Agile Methods: University of Colorado System
  • Introduction to Data Engineering: IBM
  • Developing AI Applications with Python and Flask: IBM
  • Deep Learning with R: Build & Predict Neural Networks: EDUCBA
  • Applied Natural Language Processing in Engineering Part 2: Northeastern University
  • AI Deep Learning Projects with TensorFlow: EDUCBA
  • From Recipe to Chef - Become an LLM Engineer: Packt
  • Introduction to Software, Programming, and Databases : IBM

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