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  • Distributed Systems

Distributed Systems Courses

Distributed systems courses can help you learn about network protocols, data consistency models, fault tolerance, and scalability challenges. You can build skills in designing distributed algorithms, managing resource allocation, and ensuring data integrity across nodes. Many courses introduce tools like Apache Kafka, Kubernetes, and Docker, that support deploying and managing distributed applications.


Popular Distributed Systems Courses and Certifications


  • Status: Free Trial
    Free Trial
    R

    Rice University

    Parallel Programming in Java

    Skills you'll gain: Dataflow, Java, Distributed Computing, Programming Principles, Application Frameworks, Algorithms, Performance Tuning, Functional Design, Computer Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Clustering & Retrieval

    Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Scalability, Data Structures, Distributed Computing, Probability Distribution, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.4K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    L

    Ludwig-Maximilians-Universität München (LMU)

    Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

    Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Engineering Calculations, Differential Equations, Applied Mathematics, Mathematical Modeling, Distributed Computing, Python Programming, Mechanics, Vibrations, Simulations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    390 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Apache Spark: Apply & Evaluate Big Data Workflows

    Skills you'll gain: Apache Spark, Data Persistence, Big Data, Data Processing, Distributed Computing, Data Import/Export, JSON, Data Transformation, Performance Tuning

    Mixed · Course · 1 - 4 Weeks

  • P

    Politecnico di Milano

    FPGA computing systems: Background knowledge and introductory materials

    Skills you'll gain: Field-Programmable Gate Array (FPGA), Hardware Design, Application Specific Integrated Circuits, Technical Design, Systems Design, Computer Architecture, Hardware Architecture, Electronic Hardware, Distributed Computing, System Configuration, Cloud Computing Architecture, Computer-Aided Design

    4.6
    Rating, 4.6 out of 5 stars
    ·
    247 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Reliability, Cloud Computing and Machine Learning

    Skills you'll gain: Data Warehousing, Apache Hadoop, Transaction Processing, Distributed Computing, Data Architecture, Relational Databases, Database Management, Database Architecture and Administration, Cloud Computing, Big Data, Data Processing, Machine Learning, Scalability, Data Integrity, Disaster Recovery

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Scalable Machine Learning on Big Data using Apache Spark

    Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage Technologies, Data Preprocessing, Data Storage, Machine Learning Algorithms, Machine Learning, Distributed Computing, Data Processing, Data Science, Statistical Methods, Model Evaluation, Descriptive Statistics

    3.8
    Rating, 3.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Storage Scale Remote Data Access

    Skills you'll gain: Disaster Recovery, Remote Access Systems, File Systems, Data Access, Data Storage, File Management, Distributed Computing, Servers, Network Support, Network Protocols, System Configuration, Configuration Management, Open Source Technology

    5
    Rating, 5 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 3 Months

  • 2

    28DIGITAL

    System Validation (2): Model process behaviour

    Skills you'll gain: Verification And Validation, Embedded Software, Software Systems, Systems Analysis, Distributed Computing, Mathematical Modeling, Theoretical Computer Science, Software Architecture, Data Modeling, Software Design, Algorithms, Data Structures

    4.1
    Rating, 4.1 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    É

    École Polytechnique Fédérale de Lausanne

    Big Data Analysis with Scala and Spark (Scala 2 version)

    Skills you'll gain: Apache Spark, Scala Programming, Big Data, Data Manipulation, Distributed Computing, Data Processing, Performance Tuning, SQL, Programming Principles, Data Storage Technologies

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Codio

    Intro to Operating Systems 4: Persistence

    Skills you'll gain: File Systems, Operating Systems, Unix, Data Integrity, Debugging, File I/O, Linux, Distributed Computing, Data Storage, C (Programming Language), System Programming, Command-Line Interface, Data Security, Computer Hardware, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    73 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    V

    Vanderbilt University

    Programming for a Networked World

    Skills you'll gain: Event-Driven Programming, Programming Principles, Computer Programming, Distributed Computing, Computer Science, Computational Thinking, Computer Networking, Data Structures, Natural Language Processing, Algorithms, Problem Solving, Application Programming Interface (API)

    Beginner · Course · 1 - 3 Months

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

  • Parallel Programming in Java: Rice University
  • Machine Learning: Clustering & Retrieval: University of Washington
  • Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)
  • Apache Spark: Apply & Evaluate Big Data Workflows: EDUCBA
  • FPGA computing systems: Background knowledge and introductory materials: Politecnico di Milano
  • Reliability, Cloud Computing and Machine Learning: Johns Hopkins University
  • Scalable Machine Learning on Big Data using Apache Spark: IBM
  • IBM Storage Scale Remote Data Access: IBM
  • System Validation (2): Model process behaviour: 28DIGITAL
  • Big Data Analysis with Scala and Spark (Scala 2 version): École Polytechnique Fédérale de Lausanne

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