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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

    • D

      DeepLearning.AI

      AI for Medical Diagnosis

      Skills you'll gain: Image Analysis, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Applied Machine Learning, Medical Imaging, Machine Learning Algorithms, Computer Vision, Deep Learning, Natural Language Processing, Medical Science and Research, Radiology, Artificial Neural Networks, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      AI Fundamentals for Non-Data Scientists

      Skills you'll gain: Generative AI, Big Data, Machine Learning, Customer Data Management, 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
      ·
      728 reviews

      Mixed · Course · 1 - 3 Months

    • I

      IBM

      Introduction to Hardware and Operating Systems

      Skills you'll gain: Peripheral Devices, Technical Support, Computer Hardware, Disaster Recovery, System Configuration, Hardware Troubleshooting, Microsoft Windows, Operating Systems, Linux, Networking Hardware, Computer Architecture, Mac OS, User Accounts

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Embedding Sensors and Motors

      Skills you'll gain: Control Systems, Process Control, Embedded Systems, Machine Controls, Programmable Logic Controllers, Embedded Software, Electronic Systems, Automation Engineering, Hardware Design, Electronics Engineering, Basic Electrical Systems, Manufacturing Processes, Electrical Engineering, Manufacturing and Production, Electronics, Electronic Components, Power Electronics, Three-Phase, Medical Equipment and Technology, Electrical Systems

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Specialization · 3 - 6 Months

    • D
      A

      Multiple educators

      DeepLearning.AI Data Engineering

      Skills you'll gain: Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Storage Technologies, Data Architecture, Data Transformation, Requirements Analysis, Data Processing, Data Warehousing, Query Languages, Apache Hadoop, Extract, Transform, Load, Data Lakes, Amazon Web Services, Apache Spark, Database Systems, Data Integration, Infrastructure as Code (IaC), Terraform

      4.8
      Rating, 4.8 out of 5 stars
      ·
      443 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • I

      IBM

      Introduction to DevOps

      Skills you'll gain: DevOps, Agile Methodology, Cloud-Native Computing, CI/CD, Test Driven Development (TDD), Scrum (Software Development), Behavior-Driven Development, Performance Metric, Accountability, Team Oriented, Culture Transformation, Microservices, Cross-Functional Collaboration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.7K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Minnesota

      Information​ ​Systems

      Skills you'll gain: Enterprise Resource Planning, Business Systems Analysis, Systems Analysis, Requirements Analysis, Cybersecurity, Business Requirements, Business Systems, Cloud Computing, Cloud Services, IT Management, Change Management, Information Technology, Organizational Change, Technology Strategies, Process Flow Diagrams, System Implementation, User Requirements Documents, Data Modeling, Enterprise Architecture, Portfolio Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • L

      LearnQuest

      Core Java

      Skills you'll gain: Java Programming, Spring Framework, Java, Eclipse (Software), Object Oriented Programming (OOP), Object Oriented Design, Integrated Development Environments, Development Environment, Java Platform Enterprise Edition (J2EE), Software Design, Software Installation, Computer Programming, Programming Principles, Program Development, Virtual Machines, Debugging, Package and Software Management, Data Structures, File Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • A

      Atlassian

      Version Control with Git

      Skills you'll gain: Git (Version Control System), Version Control, GitHub, Bitbucket, Software Configuration Management, Command-Line Interface, Code Review, Collaborative Software, Graphical Tools

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Introduction to Big Data

      Skills you'll gain: Big Data, Apache Hadoop, Scalability, Data Processing, Data Science, Distributed Computing, Unstructured Data, Data Analysis, Real Time Data, Data Storage

      4.6
      Rating, 4.6 out of 5 stars
      ·
      11K reviews

      Mixed · Course · 1 - 3 Months

    • I

      IBM

      IBM z/OS Mainframe Practitioner

      Skills you'll gain: Job Control Language (JCL), Mainframe Computing, z/OS, Virtualization, Virtualization and Virtual Machines, Unix, IBM DB2, Operating Systems, IBM Cloud, Data Management, Hardware Architecture, Data Storage, Infrastructure Architecture, System Programming, File Systems, Enterprise Security, Computer Security, System Configuration, Control Panels, Command-Line Interface

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

      Intermediate · Professional Certificate · 1 - 3 Months

    • G

      Google

      Configuration Management and the Cloud

      Skills you'll gain: Cloud Services, Puppet (Configuration Management Tool), Infrastructure as Code (IaC), Configuration Management, CI/CD, Cloud Computing, Docker (Software), Containerization, Kubernetes, Load Balancing, System Monitoring, Scalability, Cloud Storage, DevOps, Automation, Infrastructure Architecture, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.6K reviews

      Beginner · Course · 1 - 4 Weeks

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    1…171819…284

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

    • AI for Medical Diagnosis: DeepLearning.AI
    • AI Fundamentals for Non-Data Scientists: University of Pennsylvania
    • Introduction to Hardware and Operating Systems: IBM
    • Embedding Sensors and Motors: University of Colorado Boulder
    • DeepLearning.AI Data Engineering: DeepLearning.AI
    • Introduction to DevOps: IBM
    • Information​ ​Systems: University of Minnesota
    • Core Java: LearnQuest
    • Version Control with Git: Atlassian
    • Introduction to Big Data: University of California San Diego

    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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