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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: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      IBM Java Developer

      Skills you'll gain: Spring Framework, Prompt Engineering, HTML and CSS, Cloud-Native Computing, Software Development Life Cycle, Software Architecture, Hibernate (Java), Database Design, Docker (Software), Containerization, Git (Version Control System), GitHub, Software Design, Microservices, Object Oriented Programming (OOP), Spring Boot, Large Language Modeling, Object-Relational Mapping, Java Programming, Interviewing Skills

      4.6
      Rating, 4.6 out of 5 stars
      ·
      5.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Go and C++: Programming in Two Successor Languages of C

      Skills you'll gain: C++ (Programming Language), Go (Programming Language), Data Structures, Object Oriented Programming (OOP), Software Design Patterns, Debugging, Object Oriented Design, Programming Principles, Unit Testing, Algorithms, C (Programming Language), Program Development, Integrated Development Environments, Computer Programming, Software Testing, Computer Science, Graph Theory, File Management, Artificial Intelligence, Integration Testing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Algorithms

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Network Model, Computational Thinking, Network Analysis, Analysis, Programming Principles, Probability & Statistics, Network Routing, Probability, Operations Research, Design Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing

      Skills you'll gain: Natural Language Processing, Supervised Learning, Markov Model, Text Mining, Dimensionality Reduction, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Machine Learning Methods, Data Processing, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Algorithms, Keras (Neural Network Library), Linear Algebra, Data Cleansing, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • 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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning

      Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Feature Engineering, Data Transformation, Jupyter, Data Science, Advanced Mathematics, Statistics, Machine Learning Algorithms, Machine Learning Methods, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    • H

      Hebrew University of Jerusalem

      Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)

      Skills you'll gain: Computer Architecture, Computer Hardware, Computational Logic, Computer Programming, System Design and Implementation, Technical Design, Software Design, Program Development, Debugging, Verification And Validation, Development Environment

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3.7K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Amazon Web Services

      AWS Cloud Technical Essentials

      Skills you'll gain: AWS Identity and Access Management (IAM), Amazon CloudWatch, Amazon DynamoDB, Amazon Web Services, Cloud Computing, Amazon S3, Scalability, Amazon Elastic Compute Cloud, Cloud Security, Serverless Computing, Cloud Storage, Databases, Virtual Private Networks (VPN), Load Balancing, General Networking, Containerization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Google IT Automation with Python

      Skills you'll gain: Git (Version Control System), GitHub, Version Control, Cloud Services, Debugging, Puppet (Configuration Management Tool), Infrastructure as Code (IaC), Bash (Scripting Language), Configuration Management, Professional Networking, CI/CD, Cloud Computing, Technical Communication, Docker (Software), Unit Testing, Containerization, Web Services, Interviewing Skills, Python Programming, Programming Principles

      4.7
      Rating, 4.7 out of 5 stars
      ·
      48K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      A

      Amazon Web Services

      AWS Cloud Solutions Architect

      Skills you'll gain: AWS Identity and Access Management (IAM), Amazon CloudWatch, Data Lakes, Amazon DynamoDB, Amazon Web Services, Serverless Computing, Cloud Computing, Amazon S3, Scalability, Amazon Elastic Compute Cloud, Event-Driven Programming, Cloud Security, Solution Architecture, Data Visualization, Cloud Computing Architecture, Cloud Storage, Data Architecture, API Gateway, Data Infrastructure, AWS CloudFormation

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.6K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • D

      DeepLearning.AI

      AI For Everyone

      Skills you'll gain: Data Ethics, Market Opportunities, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Team Building, Machine Learning, Strategic Thinking, Data Science, Needs Assessment, Deep Learning, Business Ethics, Artificial Neural Networks, Engineering Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      48K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      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, Cloud Platforms, Network Architecture, Data Storage Technologies, Computer Networking, File Systems, Apache Hadoop, Network Infrastructure, Cloud Applications, Infrastructure As A Service (IaaS), Middleware, Data Store, NoSQL, Cloud Computing Architecture

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

      Intermediate · Specialization · 3 - 6 Months

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

    • IBM Java Developer: IBM
    • Go and C++: Programming in Two Successor Languages of C: University of California, Santa Cruz
    • Algorithms: Stanford University
    • Natural Language Processing: DeepLearning.AI
    • Cloud Computing Basics (Cloud 101): LearnQuest
    • Mathematics for Machine Learning: Imperial College London
    • Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course): Hebrew University of Jerusalem
    • AWS Cloud Technical Essentials: Amazon Web Services
    • Google IT Automation with Python: Google
    • AWS Cloud Solutions Architect: Amazon Web Services

    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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