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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
      G

      Google Cloud

      Building Batch Data Pipelines on Google Cloud

      Skills you'll gain: Data Pipelines, Dataflow, Extract, Transform, Load, Google Cloud Platform, Data Integration, Data Migration, Data Processing, Apache Hadoop, Serverless Computing, Apache Spark, Big Data, Data Transformation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Mastering Software Development in R

      Skills you'll gain: Ggplot2, Software Documentation, Open Source Technology, Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, Leaflet (Software), R Programming, Datamaps, Visualization (Computer Graphics), Data Cleansing, Interactive Data Visualization, Data Transformation, Object Oriented Programming (OOP), GitHub, Version Control, Debugging, Functional Design

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Cybersecurity Essentials

      Skills you'll gain: Cybersecurity, Encryption, Cyber Attacks, Email Security, Computer Security Awareness Training, Security Awareness, Data Security, Network Security, Malware Protection, Authentications, Authorization (Computing), Security Controls, Hardening, Identity and Access Management, Information Privacy, Multi-Factor Authentication, System Configuration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      926 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Linear Regression and Modeling

      Skills you'll gain: Regression Analysis, Data Analysis Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Statistical Methods, Mathematical Modeling, Exploratory Data Analysis, Predictive Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning: Regression

      Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Predictive Analytics, Feature Engineering, Machine Learning, Statistical Methods, Python Programming, Data Manipulation, Linear Algebra, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.6K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Gmail

      Skills you'll gain: Gmail, Google Workspace, Email Security, Productivity Software, Business Writing, Organizational Skills, Business Communication, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      AI For Everyone (すべての人のためのAIリテラシー講座)

      Skills you'll gain: Artificial Intelligence, Artificial Neural Networks, Digital Transformation, Deep Learning, Team Building, Technical Management, Applied Machine Learning, Machine Learning, Data Ethics, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      285 reviews

      Beginner · Course · 1 - 3 Months

    • I

      Instituto Tecnológico de Aeronáutica

      Orientação a Objetos com Java

      Skills you'll gain: JUnit, Object Oriented Programming (OOP), Java, Object Oriented Design, Unified Modeling Language, Unit Testing, Software Engineering, Agile Software Development, Software Design, Software Development, Programming Principles, Eclipse (Software)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Big Data Modeling and Management Systems

      Skills you'll gain: Data Modeling, Big Data, Data Management, Database Management Systems, Real Time Data, NoSQL, Database Design, Apache Hadoop, Data Structures, Scalability, Virtual Environment

      4.4
      Rating, 4.4 out of 5 stars
      ·
      3K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Building AI Cloud Apps with Microsoft Azure

      Skills you'll gain: Cloud Development, Image Analysis, Anomaly Detection, Prompt Engineering, Microsoft Copilot, Microsoft Azure, Cloud Storage, Data Storage, Cloud Applications, Computer Vision, Text Mining, Microsoft Development Tools, Unsupervised Learning, Data Storage Technologies, Natural Language Processing, Cloud Hosting, Data Ethics, Continuous Deployment, Application Deployment, Virtual Machines

      4.5
      Rating, 4.5 out of 5 stars
      ·
      486 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Networking in Google Cloud

      Skills you'll gain: Distributed Denial-Of-Service (DDoS) Attacks, Load Balancing, Network Monitoring, Network Architecture, Network Security, Network Routing, Network Planning And Design, Virtual Private Networks (VPN), Cloud Computing Architecture, Hybrid Cloud Computing, Google Cloud Platform, Firewall, Computer Networking, Multi-Cloud, TCP/IP, Network Infrastructure, Network Troubleshooting, Cloud Security, Intrusion Detection and Prevention, Identity and Access Management

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

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Introduction to Trading, Machine Learning & GCP

      Skills you'll gain: Machine Learning, Google Cloud Platform, Applied Machine Learning, Supervised Learning, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Financial Forecasting, Quantitative Research, Financial Modeling, Forecasting, Regression Analysis

      4
      Rating, 4 out of 5 stars
      ·
      876 reviews

      Intermediate · Course · 1 - 4 Weeks

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    1…242526…285

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

    • Building Batch Data Pipelines on Google Cloud: Google Cloud
    • Mastering Software Development in R: Johns Hopkins University
    • Introduction to Cybersecurity Essentials: IBM
    • Linear Regression and Modeling : Duke University
    • Machine Learning: Regression: University of Washington
    • Gmail: Google Cloud
    • AI For Everyone (すべての人のためのAIリテラシー講座): DeepLearning.AI
    • Orientação a Objetos com Java: Instituto Tecnológico de Aeronáutica
    • Big Data Modeling and Management Systems: University of California San Diego
    • Building AI Cloud Apps with Microsoft Azure: Microsoft

    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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