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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

    • A

      Amazon Web Services

      Introduction to Information Technology and AWS Cloud

      Skills you'll gain: Amazon Web Services, Web Applications, Cloud Services, Amazon Elastic Compute Cloud, Information Technology, Cloud Computing, Public Cloud, IT Infrastructure, Computer Systems, Amazon S3, Web Development, General Networking, Web Servers, Operating Systems, Servers, Virtualization, Data Centers, Hypertext Markup Language (HTML), Computer Hardware

      4.8
      Rating, 4.8 out of 5 stars
      ·
      421 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Internet of Things and AI Cloud

      Skills you'll gain: Session Initiation Protocols, Version Control, Integrated Development Environments, Cloud Computing Architecture, GitHub, Cloud Computing, Software Design, Amazon Web Services, Software Design Documents, Cloud Infrastructure, Git (Version Control System), Computer Vision, System Design and Implementation, Android Development, Android Studio, Telecommunications, Internet Of Things, Wireless Networks, Mobile Development, Digital Communications

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Site Reliability Engineering: Measuring and Managing Reliability

      Skills you'll gain: Site Reliability Engineering, Service Level, DevOps, System Monitoring, Continuous Monitoring, Risk Management Framework, Cloud Computing, Software Documentation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      937 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Business Analytics

      Skills you'll gain: Data Storytelling, Extract, Transform, Load, Marketing Analytics, Data Presentation, Data Visualization, Regression Analysis, Alteryx, Data Collection, Interactive Data Visualization, Data Quality, Statistical Visualization, R Programming, Data Visualization Software, Network Analysis, Tidyverse (R Package), Internal Controls, Data Processing, Exploratory Data Analysis, Robotic Process Automation, Business Analytics

      Build toward a degree

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

      Beginner · Specialization · 3 - 6 Months

    • E

      EC-Council

      Cybersecurity Attack and Defense Fundamentals

      Skills you'll gain: Penetration Testing, Network Security, Mobile Security, Cloud Security, Public Key Infrastructure, Vulnerability Assessments, Cryptography, Security Controls, Threat Detection, Cybersecurity, Authorization (Computing), Security Awareness, Encryption, Malware Protection, Identity and Access Management, Wireless Networks, Data Security, Intrusion Detection and Prevention, Computer Security Awareness Training, Cyber Threat Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      711 reviews

      Beginner · Specialization · 3 - 6 Months

    • M

      Microsoft

      Work Smarter with Microsoft PowerPoint

      Skills you'll gain: Multimedia, Microsoft PowerPoint, Presentations, Microsoft 365, Collaborative Software, Productivity Software, Microsoft Windows, Editing, File Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      984 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      I

      IBM

      Generative AI for Executives and Business Leaders

      Skills you'll gain: Prompt Engineering, Risk Mitigation, Generative AI, Risk Analysis, Feasibility Studies, Data Ethics, Brainstorming, Generative AI Agents, Business Priorities, Return On Investment, Data Strategy, Business Leadership, Goal Setting, Artificial Intelligence, Business Solutions, Ideation, Business Strategy, Scalability, Business Transformation, Business Ethics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      440 reviews

      Intermediate · Specialization · 1 - 4 Weeks

    • N

      NVIDIA

      AI Infrastructure and Operations Fundamentals

      Skills you'll gain: Generative AI, Large Language Modeling, MLOps (Machine Learning Operations), Artificial Intelligence, Cloud Computing, Cloud Infrastructure, IT Infrastructure, Deep Learning, Network Infrastructure, Tensorflow, Hardware Architecture, Machine Learning, PyTorch (Machine Learning Library), Data Centers, Computer Architecture, Data Storage

      4.6
      Rating, 4.6 out of 5 stars
      ·
      353 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: AI skills
      AI skills
      G

      Google Cloud

      Google Cloud Cybersecurity

      Skills you'll gain: Cloud Security, Identity and Access Management, Intrusion Detection and Prevention, Computer Security Incident Management, Threat Management, Cyber Threat Hunting, Risk Management Framework, Cyber Attacks, Cyber Operations, Vulnerability Management, Continuous Monitoring, Event Monitoring, Disaster Recovery, Incident Management, Generative AI, DevSecOps, Cloud Computing, Data Security, Google Cloud Platform, Cybersecurity

      4.6
      Rating, 4.6 out of 5 stars
      ·
      315 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free
      Free
      G

      Google Quantum AI

      Hands-on quantum error correction with Google Quantum AI

      Skills you'll gain: Debugging, Emerging Technologies, Hardware Architecture, Failure Analysis, Simulation and Simulation Software, Theoretical Computer Science, Mathematical Modeling, Computer Architecture, Simulations, Linear Algebra, Computer Science

      4.5
      Rating, 4.5 out of 5 stars
      ·
      98 reviews

      Intermediate · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Advanced Statistics for Data Science

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling, Sample Size Determination

      4.4
      Rating, 4.4 out of 5 stars
      ·
      761 reviews

      Advanced · Specialization · 3 - 6 Months

    • R

      Rice University

      An Introduction to Interactive Programming in Python (Part 1)

      Skills you'll gain: Event-Driven Programming, Application Development, Interactive Design, Programming Principles, Computer Graphics, Python Programming, Game Design, Computer Programming, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 3 Months

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    1…212223…284

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

    • Introduction to Information Technology and AWS Cloud: Amazon Web Services
    • Internet of Things and AI Cloud: University of California San Diego
    • Site Reliability Engineering: Measuring and Managing Reliability: Google Cloud
    • Business Analytics: University of Illinois Urbana-Champaign
    • Cybersecurity Attack and Defense Fundamentals: EC-Council
    • Work Smarter with Microsoft PowerPoint: Microsoft
    • Generative AI for Executives and Business Leaders: IBM
    • AI Infrastructure and Operations Fundamentals: NVIDIA
    • Google Cloud Cybersecurity: Google Cloud
    • Hands-on quantum error correction with Google Quantum AI: Google Quantum 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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