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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
      I

      IBM

      IBM AI Enterprise Workflow

      Skills you'll gain: Feature Engineering, Data Visualization, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Dashboard, Unit Testing, Artificial Neural Networks, Data Science, Artificial Intelligence

      4.3
      Rating, 4.3 out of 5 stars
      ·
      320 reviews

      Advanced · Specialization · 3 - 6 Months

    • A

      Amazon Web Services

      Exam Prep: AWS Certified Cloud Practitioner Foundations

      Skills you'll gain: Amazon Web Services, AWS Identity and Access Management (IAM), Cloud Computing Architecture, Amazon Elastic Compute Cloud, Cloud Infrastructure, Cloud Security, Cloud Services, Amazon S3, Cloud Computing, Infrastructure As A Service (IaaS), Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      105 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Foundations of AI and Machine Learning

      Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Cloud Infrastructure, MLOps (Machine Learning Operations), Application Deployment, Data Processing, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Data Pipelines, Scikit Learn (Machine Learning Library), Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      112 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      INSEAD

      Introduction to Blockchain for Financial Services

      Skills you'll gain: Blockchain, FinTech, Cryptography, Design, Emerging Technologies, Stakeholder Management, Distributed Computing, Data Integrity, Financial Services, Public Key Cryptography Standards (PKCS), Innovation, Governance

      4.7
      Rating, 4.7 out of 5 stars
      ·
      675 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Introduction to Secure Networking

      Skills you'll gain: Network Security, Network Protocols, TCP/IP, Cloud Computing, Firewall, General Networking, Networking Hardware, Network Architecture, OSI Models, Microsoft Azure, Computer Networking, Network Infrastructure, Local Area Networks, Software As A Service, Virtual Machines, Virtualization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      223 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Architecting with Google Kubernetes Engine 日本語版

      Skills you'll gain: Kubernetes, Cloud Infrastructure, Google Cloud Platform, Containerization, Application Deployment, Infrastructure As A Service (IaaS), Cloud Applications, Cloud Computing, Cloud Storage, Cloud Services, CI/CD, Identity and Access Management, Scalability, Network Infrastructure, Continuous Integration, Continuous Deployment, Cloud Management, Virtual Machines, DevOps, Continuous Delivery

      4.5
      Rating, 4.5 out of 5 stars
      ·
      718 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Software Developer Career Guide and Interview Preparation

      Skills you'll gain: Interviewing Skills, Professional Networking, Professional Development, Software Development, Software Engineering, Professionalism, Computer Programming, Problem Solving, Communication Strategies, Verbal Communication Skills

      4.8
      Rating, 4.8 out of 5 stars
      ·
      267 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Getting Started with R

      Skills you'll gain: Data Import/Export, Package and Software Management, R Programming, Data Structures, Data Literacy, Software Installation, Data Analysis Software

      4.3
      Rating, 4.3 out of 5 stars
      ·
      380 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Google Cloud Fundamentals: Core Infrastructure en Español

      Skills you'll gain: Cloud Infrastructure, Cloud Applications, Identity and Access Management, Infrastructure As A Service (IaaS), Google Cloud Platform, Kubernetes, Cloud Services, Public Cloud, Cloud Computing, Network Infrastructure, Cloud Storage, Containerization, Platform As A Service (PaaS), Serverless Computing, Load Balancing, Data Storage Technologies, Scalability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      N

      New York University

      Guided Tour of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Financial Services, Finance, Tensorflow, Jupyter, Reinforcement Learning

      3.8
      Rating, 3.8 out of 5 stars
      ·
      679 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University at Buffalo

      Blockchain Platforms

      Skills you'll gain: Blockchain, Emerging Technologies, Distributed Computing, Microsoft Azure, FinTech, Cloud Computing Architecture, Platform As A Service (PaaS), Cryptography, Open Source Technology, Scalability, Data Storage, Information Privacy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      An Introduction to Interactive Programming in Python (Part 2)

      Skills you'll gain: Application Development, Object Oriented Programming (OOP), Event-Driven Programming, Interactive Design, User Interface (UI), Program Development, Animations, Game Design, Programming Principles, Python Programming, Computer Programming, Data Structures, Debugging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 4 Weeks

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    1…373839…283

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

    • IBM AI Enterprise Workflow: IBM
    • Exam Prep: AWS Certified Cloud Practitioner Foundations: Amazon Web Services
    • Foundations of AI and Machine Learning: Microsoft
    • Introduction to Blockchain for Financial Services: INSEAD
    • Introduction to Secure Networking: Microsoft
    • Architecting with Google Kubernetes Engine 日本語版: Google Cloud
    • Software Developer Career Guide and Interview Preparation: IBM
    • Getting Started with R: Coursera Project Network
    • Google Cloud Fundamentals: Core Infrastructure en Español: Google Cloud
    • Guided Tour of Machine Learning in Finance: New York University

    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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