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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.


More to explore:

Popular Distributed Computing Courses and Certifications


  • G

    Google Cloud

    Distributed Image Processing in Cloud Dataproc

    Skills you'll gain: Apache Spark, PySpark, Google Cloud Platform, Cloud Management, Cloud Computing, Distributed Computing, Package and Software Management

    Intermediate · Project · Less Than 2 Hours

  • 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, Data Persistence, Data Analysis, Programming Principles

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Georgia Institute of Technology

    Cloud Applications

    Skills you'll gain: Cloud Applications, Cloud-Native Computing, Cloud Deployment, Application Development, Cloud Management, Cloud Computing, Cloud Infrastructure, Internet Of Things, Application Deployment, Software Development, Distributed Computing, Scalability, Real Time Data

    4.5
    Rating, 4.5 out of 5 stars
    ·
    19 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Introduction to Big Data

    Skills you'll gain: Big Data, Apache Hadoop, Scalability, Data Processing, Data Science, Distributed Computing, Unstructured Data, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11K reviews

    Mixed · Course · 1 - 3 Months

  • P

    Politecnico di Milano

    FPGA computing systems: Background knowledge and introductory materials

    Skills you'll gain: Application Specific Integrated Circuits, Systems Design, Computer Architecture, System Design and Implementation, Hardware Architecture, Cloud Infrastructure, Distributed Computing, Embedded Systems

    4.6
    Rating, 4.6 out of 5 stars
    ·
    247 reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Distributed Load Testing Using Kubernetes

    Skills you'll gain: Kubernetes, Docker (Software), Application Deployment, Cloud Deployment, Google App Engine, Google Cloud Platform, Distributed Computing, API Testing, Performance Testing, DevOps, Restful API, Web Development

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    É

    École Polytechnique Fédérale de Lausanne

    Parallel programming (Scala 2 version)

    Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Algorithms, Performance Tuning, Functional Design, Machine Learning Algorithms, Performance Testing, Computer Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    ConsenSys Academy

    Blockchain: Foundations and Use Cases

    Skills you'll gain: Blockchain, Cryptography, Interoperability, FinTech, Emerging Technologies, Ledgers (Accounting), Business Modeling, Internet Of Things, Distributed Computing, Open Source Technology, Digital Assets, Transaction Processing, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    846 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Graph Analytics for Big Data

    Skills you'll gain: Graph Theory, Database Design, Big Data, Network Analysis, Analytics, Data Management, Query Languages, Computing Platforms, Scalability, Unsupervised Learning, Distributed Computing, Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.3K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    PySpark in Action: Hands-On Data Processing

    Skills you'll gain: PySpark, Apache Spark, Apache Hadoop, Data Pipelines, Big Data, Data Storage Technologies, Data Processing, Distributed Computing, Data Analysis Expressions (DAX), Data Storage, Data Transformation, SQL, Data Manipulation, Performance Tuning

    2.8
    Rating, 2.8 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Data Manipulation at Scale: Systems and Algorithms

    Skills you'll gain: Big Data, Relational Databases, Database Systems, Dataflow, Databases, Data Science, Data Manipulation, Data Processing, NoSQL, Apache Spark, Distributed Computing, Apache Hadoop, SQL, Data Analysis, Query Languages, Cloud Computing, Scalability, Graph Theory, Python Programming, Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    772 reviews

    Mixed · Course · 1 - 3 Months

  • G

    Google Cloud

    Running Distributed TensorFlow using Vertex AI

    Skills you'll gain: Tensorflow, Google Cloud Platform, Model Deployment, Image Analysis, Cloud Deployment, MLOps (Machine Learning Operations), Cloud Computing, Distributed Computing

    Intermediate · Project · Less Than 2 Hours

1…8910…21

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

  • Distributed Image Processing in Cloud Dataproc: Google Cloud
  • Big Data Analysis with Scala and Spark (Scala 2 version): École Polytechnique Fédérale de Lausanne
  • Cloud Applications: Georgia Institute of Technology
  • Introduction to Big Data: University of California San Diego
  • FPGA computing systems: Background knowledge and introductory materials: Politecnico di Milano
  • Distributed Load Testing Using Kubernetes: Google Cloud
  • Parallel programming (Scala 2 version): École Polytechnique Fédérale de Lausanne
  • Blockchain: Foundations and Use Cases: ConsenSys Academy
  • Graph Analytics for Big Data: University of California San Diego
  • PySpark in Action: Hands-On Data Processing: Edureka

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