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  • Distributed Computing

Distributed Computing Courses

Distributed computing courses can help you learn parallel processing, cloud architecture, data distribution techniques, and fault tolerance. You can build skills in optimizing resource allocation, ensuring data consistency, and managing large-scale applications. Many courses introduce tools like Apache Hadoop, Spark, and Kubernetes, that support implementing distributed systems and managing workloads effectively.


Popular Distributed Computing Courses and Certifications


  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Architecting with Google Kubernetes Engine

    Skills you'll gain: Kubernetes, Google Cloud Platform, Cloud Infrastructure, Prompt Engineering, Containerization, Identity and Access Management, Cloud-Native Computing, CI/CD, Cloud Storage, Application Deployment, Cloud Management, Cloud Services, Virtual Machines, Scalability, Virtual Networking, Cloud Computing, Docker (Software), Application Development, Load Balancing, Continuous Integration

    4.6
    Rating, 4.6 out of 5 stars
    ·
    5.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Production Machine Learning Systems

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Systems Architecture, Performance Tuning, Machine Learning, Model Evaluation, Distributed Computing, Scalability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1K reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Scaling High-Performance Node.js Applications

    Skills you'll gain: Scalability, Node.JS, Distributed Computing, Load Balancing, Performance Tuning, Systems Architecture, Redis, Application Performance Management, Microservices, OS Process Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Introduction to Git and GitHub

    Skills you'll gain: Git (Version Control System), GitHub, Version Control, Continuous Integration, Software Versioning, Collaborative Software, Software Development Tools, Code Review, Issue Tracking, Command-Line Interface

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8K reviews

    Beginner · Course · 1 - 4 Weeks

  • M

    Microsoft

    Introduction to Microsoft Azure Cloud Services

    Skills you'll gain: Microsoft Azure, Cloud Services, Virtualization, Cloud Computing, Virtual Machines, Cloud Storage, Cloud Infrastructure, Public Cloud, Virtual Networking, Scalability

    4.5
    Rating, 4.5 out of 5 stars
    ·
    2.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    C and Go: Classical and Modern Programming

    Skills you'll gain: Go (Programming Language), File I/O, Data Structures, Programming Principles, Object Oriented Programming (OOP), Debugging, Computer Programming, Unit Testing, C (Programming Language), Program Development, Integrated Development Environments, Computer Science, Software Testing, Algorithms, Integration Testing, Software Design, System Design and Implementation, Distributed Computing, Software Documentation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    7.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Y

    Yonsei University

    Emerging Technologies: From Smartphones to IoT to Big Data

    Skills you'll gain: Apache Spark, Augmented Reality, Cloud Computing Architecture, Big Data, Wireless Networks, SPSS, Augmented and Virtual Reality (AR/VR), Cloud Computing, Internet Of Things, Analytics, Real Time Data, Apache Hadoop, Telecommunications, Local Area Networks, Multimedia, Emerging Technologies, Apple iOS, Market Analysis, Display Devices, Product Planning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Analysis with R

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Analysis, Statistics, Data Analysis Software, Data Analysis, Probability & Statistics, Probability, R Programming, Statistical Modeling, Statistical Methods, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Modern Data Architecture & Lakehouse Engineering

    Skills you'll gain: Data Pipelines, Data Lakes, Apache Airflow, Data Security, Data Transformation, Apache Spark, Disaster Recovery, Cloud Infrastructure, Infrastructure as Code (IaC), Database Architecture and Administration, PySpark, Performance Tuning, Terraform, Data Warehousing, Extract, Transform, Load, Data Architecture, Data Integration, Cloud Computing, SQL, Data Governance

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    The Data Scientist’s Toolbox

    Skills you'll gain: Rmarkdown, Version Control, Data Science, R (Software), GitHub, Data Literacy, Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Software Installation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    34K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Data Engineering

    Skills you'll gain: Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Storage Technologies, Data Storage, Relational Databases, Data Integration, Apache Hadoop, Data Warehousing, Databases, Data Lakes, SQL, Data Governance, Apache Spark, Data Security, NoSQL, Data Transformation, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    G

    Google Cloud

    KI-Infrastruktur: Einführung in AI Hypercomputer

    Skills you'll gain: Model Deployment, Cloud Deployment, Google Cloud Platform, Cloud Infrastructure, Cloud Computing, Tensorflow, Artificial Intelligence, Performance Tuning, Hardware Architecture

    Intermediate · Course · 1 - 4 Weeks

Searches related to distributed computing

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

  • Architecting with Google Kubernetes Engine: Google Cloud
  • Production Machine Learning Systems: Google Cloud
  • Scaling High-Performance Node.js Applications: Packt
  • Introduction to Git and GitHub: Google
  • Introduction to Microsoft Azure Cloud Services: Microsoft
  • C and Go: Classical and Modern Programming: University of California, Santa Cruz
  • Emerging Technologies: From Smartphones to IoT to Big Data: Yonsei University
  • Data Analysis with R: Duke University
  • Modern Data Architecture & Lakehouse Engineering: Coursera
  • The Data Scientist’s Toolbox: Johns Hopkins University

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