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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

    • G

      Google Cloud

      Google Cloud Database Engineer

      Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Application Deployment, Prompt Engineering, Kubernetes, Containerization, Database Architecture and Administration, MySQL, Cloud Computing Architecture, PostgreSQL, Identity and Access Management, Cloud Storage, Data Migration, Cloud Services, Database Administration, Cloud Management, Virtual Machines, Cloud Security, Cloud Applications, Operational Databases

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49K reviews

      Intermediate · Specialization · 3 - 6 Months

    • M

      Microsoft

      Introduction to Networking and Cloud Computing

      Skills you'll gain: Network Security, Cloud Computing, Network Infrastructure, Microsoft Azure, Cloud Services, Firewall, Computer Networking, Virtualization and Virtual Machines, Digital Transformation, Networking Hardware, Cybersecurity, Network Protocols, Artificial Intelligence and Machine Learning (AI/ML)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      484 reviews

      Beginner · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      DeepLearning.AI TensorFlow Developer

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Time Series Analysis and Forecasting, Deep Learning, Artificial Neural Networks, Generative AI, Applied Machine Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Text Mining, Forecasting, Data Processing, Supervised Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      25K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • U

      University of Pennsylvania

      Computational Thinking for Problem Solving

      Skills you'll gain: Computational Thinking, Algorithms, Pseudocode, Python Programming, Data Structures, Computer Hardware, Computer Programming, Analysis, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • L

      LearnQuest

      Cloud Computing Basics (Cloud 101)

      Skills you'll gain: Cloud Computing, Cloud Services, Cloud Technologies, Cloud Infrastructure, Cloud Computing Architecture, Public Cloud, Infrastructure As A Service (IaaS), Serverless Computing, Amazon Web Services, Virtual Machines, Hybrid Cloud Computing, Software As A Service, Private Cloud, Microsoft Azure, Platform As A Service (PaaS), Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.5K reviews

      Beginner · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Convolutional Neural Networks

      Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, PyTorch (Machine Learning Library), Artificial Intelligence, Data Processing, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      42K reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google

      IT Security: Defense against the digital dark arts

      Skills you'll gain: Network Security, Information Systems Security, Cybersecurity, Encryption, Cyber Attacks, Security Awareness, Data Security, Threat Modeling, Security Management, Security Strategy, Computer Security Awareness Training, Information Assurance, Wireless Networks, Firewall, Malware Protection, Authentications, Authorization (Computing), Technical Support

      4.8
      Rating, 4.8 out of 5 stars
      ·
      25K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Cloud Computing

      Skills you'll gain: Distributed Computing, Cloud Infrastructure, Cloud Services, Big Data, Apache Spark, Cloud Computing, Cloud Storage, Network Architecture, Data Storage Technologies, Computer Networking, File Systems, Apache Hadoop, Network Infrastructure, Cloud Applications, Infrastructure As A Service (IaaS), Middleware, Software-Defined Networking, Data Store, NoSQL, Cloud Platforms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      S

      Stanford University

      Cryptography I

      Skills you'll gain: Cryptography, Data Encryption Standard, Encryption, Key Management, Advanced Encryption Standard (AES), Public Key Cryptography Standards (PKCS), Cybersecurity, Authentications, Data Integrity, Secure Coding, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.4K reviews

      Mixed · Course · 1 - 3 Months

    • G

      Google Cloud

      Architecting with Google Compute Engine

      Skills you'll gain: Cloud Infrastructure, Google Cloud Platform, Identity and Access Management, Prompt Engineering, Kubernetes, Application Deployment, Cloud Storage, Infrastructure As A Service (IaaS), Containerization, Cloud Computing, CI/CD, Cloud Computing Architecture, Cloud Security, Cloud Services, Load Balancing, Service Level Agreement, Infrastructure as Code (IaC), Microservices, Virtual Machines, Service Level

      4.7
      Rating, 4.7 out of 5 stars
      ·
      58K reviews

      Intermediate · Specialization · 3 - 6 Months

    • I

      IBM

      IT Fundamentals for Cybersecurity

      Skills you'll gain: IT Service Management, Cloud Computing, Information Technology Infrastructure Library, Malware Protection, Identity and Access Management, Linux, Incident Response, Networking Hardware, TCP/IP, Cybersecurity, Linux Administration, Network Security, Network Protocols, Computer Security Incident Management, Cloud Security, Operating Systems, Endpoint Detection and Response, Cyber Risk, Data Ethics, Cyber Governance

      4.6
      Rating, 4.6 out of 5 stars
      ·
      22K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Preparing for Google Cloud Certification: Cloud DevOps Engineer

      Skills you'll gain: Site Reliability Engineering, Kubernetes, Application Performance Management, Google Cloud Platform, Cloud Infrastructure, System Monitoring, Prompt Engineering, Application Deployment, Identity and Access Management, DevOps, CI/CD, Containerization, Cloud Storage, Cloud Security, Cloud Services, Cloud Management, Service Level Agreement, Safety Culture, Event Monitoring, Culture Transformation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      54K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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    1…567…282

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

    • Google Cloud Database Engineer: Google Cloud
    • Introduction to Networking and Cloud Computing: Microsoft
    • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
    • Computational Thinking for Problem Solving: University of Pennsylvania
    • Cloud Computing Basics (Cloud 101): LearnQuest
    • Convolutional Neural Networks: DeepLearning.AI
    • IT Security: Defense against the digital dark arts : Google
    • Cloud Computing: University of Illinois Urbana-Champaign
    • Cryptography I: Stanford University
    • Architecting with Google Compute Engine: Google Cloud

    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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