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    • Parallel Computing

    Parallel Computing Courses Online

    Learn parallel computing for high-performance computing applications. Understand how to design and implement parallel algorithms.

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    Explore the Parallel Computing Course Catalog

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Rust Programming

      Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), DevOps, Jenkins, Unit Testing, Large Language Modeling, Test Case, Restful API, Serverless Computing, Generative AI, Command-Line Interface, Amazon Web Services, Software Testing, Maintainability, Prometheus (Software), System Monitoring, MLOps (Machine Learning Operations)

      4
      Rating, 4 out of 5 stars
      ·
      207 reviews

      Beginner · Specialization · 3 - 6 Months

    • T

      The Hong Kong University of Science and Technology

      Developing Android Apps with App Inventor

      Skills you'll gain: Android Development, User Interface (UI), User Interface (UI) Design, Mobile Development, Interactive Design, Application Development, Data Storage, Game Design, Program Development, Geographic Information Systems, Global Positioning Systems, Programming Principles, Computer Programming, File Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      495 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Introduction to AI and Machine Learning on Google Cloud

      Skills you'll gain: Prompt Engineering, Google Cloud Platform, Generative AI, Cloud Infrastructure, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Cloud Platforms, Large Language Modeling, Machine Learning, Natural Language Processing, Application Programming Interface (API)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      239 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Mastering Programming with MATLAB

      Skills you'll gain: Matlab, Algorithms, User Interface (UI), Object Oriented Programming (OOP), Mathematical Software, Engineering Calculations, Computer Programming, Programming Principles, Engineering Analysis, Scripting, Plot (Graphics)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      417 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Basic Image Classification with TensorFlow

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Machine Learning Methods, Computer Vision

      4.6
      Rating, 4.6 out of 5 stars
      ·
      844 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Software, Programming, and Databases

      Skills you'll gain: Computing Platforms, Software Development Life Cycle, Application Development, Programming Principles, Databases, Data Maintenance, Database Management, Web Applications, Software Installation, Browser Compatibility, Cloud Computing, Information Technology, Software Versioning, Computer Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      391 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Achieving Advanced Insights with BigQuery

      Skills you'll gain: SQL, Big Data, Google Cloud Platform, Data Access, Database Architecture and Administration, Performance Tuning, Jupyter, Data Warehousing, Data Security, Data Science, Data Structures

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Trabaja inteligentemente, no más duro: Gestión del tiempo para la productividad personal y profesional

      Skills you'll gain: Time Management, Scheduling, Goal Setting, Prioritization, Productivity, Delegation Skills, Personal Development, Organizational Skills, Self-Awareness, Overcoming Obstacles, Expectation Management, Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.8K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Washington

      Social Media Data Analytics

      Skills you'll gain: R Programming, Text Mining, Statistical Analysis, Correlation Analysis, Web Scraping, Regression Analysis, Analytics, Big Data, Data Analysis, Data Mining, Unstructured Data, Data Collection, Scripting, Application Programming Interface (API), Python Programming

      4.1
      Rating, 4.1 out of 5 stars
      ·
      296 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Salesforce Fundamentals

      Skills you'll gain: Salesforce, Data Quality, Data Modeling, Data Integration, Business Process Automation, Salesforce Development, Email Marketing, Data Security, Data Cleansing, Data Management, Process Design, User Accounts, Customer Relationship Management (CRM) Software, Customer Engagement, Dashboard, Customer Relationship Management, Business Reporting, Administration, Automation, Role-Based Access Control (RBAC)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      256 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Arm

      Arm Cortex-M Architecture and Software Development

      Skills you'll gain: Embedded Software, Performance Tuning, System Programming, Software Development Tools, Embedded Systems, Microarchitecture, Software Development, Development Environment, Hardware Architecture, Debugging, Program Development, Application Security, Build Tools, Computer Architecture, C (Programming Language), System Configuration, Application Development, Security Engineering, C++ (Programming Language), System Requirements

      4.6
      Rating, 4.6 out of 5 stars
      ·
      186 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud Architect Professional Certificate 日本語版

      Skills you'll gain: Cloud Infrastructure, Google Cloud Platform, Identity and Access Management, Kubernetes, CI/CD, Virtual Machines, Microservices, Infrastructure As A Service (IaaS), Cloud Computing, Cloud Applications, Application Deployment, Infrastructure Architecture, Cloud Security, Data Storage, Cloud Services, Cloud Storage, Network Architecture, Terraform, Cloud Computing Architecture, Cloud Management

      4.5
      Rating, 4.5 out of 5 stars
      ·
      903 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

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

    • Rust Programming: Duke University
    • Developing Android Apps with App Inventor: The Hong Kong University of Science and Technology
    • Introduction to AI and Machine Learning on Google Cloud: Google Cloud
    • Mastering Programming with MATLAB: Vanderbilt University
    • Basic Image Classification with TensorFlow: Coursera Project Network
    • Introduction to Software, Programming, and Databases : IBM
    • Achieving Advanced Insights with BigQuery: Google Cloud
    • Trabaja inteligentemente, no más duro: Gestión del tiempo para la productividad personal y profesional : University of California, Irvine
    • Social Media Data Analytics: University of Washington
    • Salesforce Fundamentals: University of California, Irvine

    Skills you can learn in Software Development

    Programming Language (34)
    Google (25)
    Computer Program (21)
    Software Testing (21)
    Web (19)
    Google Cloud Platform (18)
    Application Programming Interfaces (17)
    Data Structure (16)
    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
    List & Label (10)

    Frequently Asked Questions about Parallel Computing

    Parallel computing is the design, study, and process of using algorithms to make multiple computers solve computational problems simultaneously. In parallel computing, problems are split up into several parts for more than two computers to work on at the same time. These parts each have their own set of instructions that are executed on multiple central processing units (CPUs).

    Parallel computing speeds up problem-solving in computational learning. Previously, most computations were done individually by software written for use on a single computer with one CPU. This meant that only one instruction could be executed at any time.‎

    It's important to learn about parallel computing because it is the primary system used by programmers today to increase computation power for faster application problem solving and processing power. From multi-core personal computers to supercomputers, parallel computing is what is driving the core processing power.

    A processor is the computing power that drives your phone, laptop, and tablet. With more power in the processor, applications will run faster and better on your mobile device. Even smartphones are using multicore processing power, with some up to four and eight cores. Parallel computing helps to make this possible. This alone makes parallel computing worth knowing about for its current device applications and also its growing importance into the future.‎

    Learning parallel computing can bring you into careers as a parallel programming architect, a software engineer, or a high performance computing engineer. Many companies are looking for computing talents who can deliver and innovate in the graphics and parallel computing fields.

    Companies are continually looking to develop new parallel programming models for their GPU architecture. This is where learning about parallel computing can help you to succeed. By gaining new knowledge for creating new infrastructures and new architectures in parallel computing, you can play a part in advancing the state-of-the-art graphics performance in parallel programming models.‎

    When you take online courses about parallel computing, you will understand programming, software development, and computational power more clearly. You will study topics like data-parallel programs, how to express the functions of common parallel algorithms, and how to write and use parallel code in programs that use parallel collections to achieve higher computational performance. In these courses, industry experts will teach you not just how parallel computing works in relation to modern GPU architecture, but also how you can use your knowledge base to advance your careers in our increasingly digital world.‎

    Online Parallel Computing courses offer a convenient and flexible way to enhance your knowledge or learn new Parallel Computing skills. Choose from a wide range of Parallel Computing courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Parallel Computing, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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