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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 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
      ·
      282 reviews

      Beginner · Course · 1 - 3 Months

    • I

      INSEAD

      Introduction to Blockchain Technologies

      Skills you'll gain: Blockchain, FinTech, Emerging Technologies, Cryptography, Digital Assets, Distributed Computing, Digital Transformation, Public Key Cryptography Standards (PKCS), Transaction Processing, Information Privacy, Governance, Network Security, Data Integrity, Financial Services

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to Responsible AI

      Skills you'll gain: Data Ethics, Artificial Intelligence, Accountability, Business Ethics, Governance, Organizational Effectiveness, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      ·
      645 reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Microsoft

      Microsoft Azure Data Scientist Associate (DP-100) Exam Prep

      Skills you'll gain: Databricks, Unsupervised Learning, PySpark, Microsoft Azure, Apache Spark, Scikit Learn (Machine Learning Library), MLOps (Machine Learning Operations), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Data Visualization, Applied Machine Learning, Regression Analysis, Data Science, Predictive Modeling, Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Classification And Regression Tree (CART), Cloud Computing

      4.2
      Rating, 4.2 out of 5 stars
      ·
      545 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • K

      Kennesaw State University

      Cybersecurity and Its Ten Domains

      Skills you'll gain: Cybersecurity, IT Security Architecture, Network Security, Disaster Recovery, Application Security, Cyber Operations, Cryptography, Cyber Risk, Encryption, Authorization (Computing), Secure Coding, Systems Development Life Cycle, Security Controls, Cyber Governance, Cyber Security Policies, Infrastructure Security, Security Awareness, Safety and Security, Identity and Access Management, Incident Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      I

      Instituto Tecnológico de Aeronáutica

      Introdução ao Controle de Sistemas

      Skills you'll gain: Control Systems, Process Control, Systems Design, Systems Engineering, Systems Analysis, Engineering Analysis, Mathematical Modeling, Applied Mathematics, Performance Testing, Differential Equations

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • G

      Google

      Decisions, Decisions: Dashboards and Reports

      Skills you'll gain: Dashboard, Business Intelligence, Data Presentation, Data Visualization Software, Business Reporting, Scalability, Stakeholder Communications, Key Performance Indicators (KPIs), Data Analysis, Performance Analysis, Presentations, Interviewing Skills

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Advanced · Course · 1 - 3 Months

    • 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

    • D

      DeepLearning.AI

      Natural Language Processing with Sequence Models

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Text Mining, Machine Learning Methods

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Introduction to Data Engineering

      Skills you'll gain: Data Pipelines, Data Architecture, Requirements Analysis, Amazon Web Services, Data Warehousing, Data Processing, System Requirements, Performance Tuning, Extract, Transform, Load, Security Controls, Cloud Computing, Data Transformation, Scalability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      369 reviews

      Intermediate · Course · 1 - 4 Weeks

    • P

      Palo Alto Networks

      Palo Alto Networks Cybersecurity

      Skills you'll gain: Network Security, Cloud Security, DevSecOps, Cybersecurity, Cloud-Native Computing, General Networking, TCP/IP, Zero Trust Network Access, Cryptography, Endpoint Security, Cyber Threat Intelligence, Cloud Computing Architecture, Malware Protection, Firewall, Cloud Computing, Encryption, Network Infrastructure, Security Information and Event Management (SIEM), Application Security, Infrastructure Security

      4.6
      Rating, 4.6 out of 5 stars
      ·
      773 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • E

      EC-Council

      Ethical Hacking Essentials (EHE)

      Skills you'll gain: Penetration Testing, Cloud Security, Vulnerability Assessments, Network Security, Threat Detection, Security Awareness, Cybersecurity, Application Security, Mobile Security, Internet Of Things, Authentications, Encryption, Wireless Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      547 reviews

      Beginner · Course · 1 - 3 Months

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

    • AI For Everyone (すべての人のためのAIリテラシー講座): DeepLearning.AI
    • Introduction to Blockchain Technologies: INSEAD
    • Introduction to Responsible AI: Google Cloud
    • Microsoft Azure Data Scientist Associate (DP-100) Exam Prep: Microsoft
    • Cybersecurity and Its Ten Domains: Kennesaw State University
    • Introdução ao Controle de Sistemas: Instituto Tecnológico de Aeronáutica
    • Decisions, Decisions: Dashboards and Reports: Google
    • Machine Learning: Regression: University of Washington
    • Natural Language Processing with Sequence Models: DeepLearning.AI
    • Introduction to Data Engineering: DeepLearning.AI

    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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