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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


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    Packt

    Optimizing and Managing Windows 365 Cloud PCs

    Skills you'll gain: Microsoft 365, Cloud Management, Microsoft Intune (Mobile Device Management Software), Microsoft Windows, Cloud Security, Microsoft Copilot, Cloud Computing, Application Deployment, Enterprise Application Management, Cloud Deployment, Mobile Security, Cloud Infrastructure, Package and Software Management, Remote Access Systems, Microsoft Teams, VPN Clients, Performance Tuning, Administration, Configuration Management, Resource Management

    Intermediate · Course · 1 - 3 Months

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    John Wiley & Sons

    Security Architecture for Cloud and Mobile

    Skills you'll gain: IT Security Architecture, DevSecOps, Cloud Security, Mobile Security, Cloud Computing Architecture, Application Security, Network Security, Infrastructure Security, Cloud Computing, Security Controls, Cloud Infrastructure, Zero Trust Network Access, Firewall, Cloud Solutions, Endpoint Security, Load Balancing, Continuous Monitoring, System Monitoring, System Configuration, Cryptography

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Advanced Terraform: Multi-Cloud Production Management

    Skills you'll gain: Terraform, Infrastructure as Code (IaC), Containerization, Serverless Computing, Kubernetes, Cloud-Native Computing, Cloud Deployment, Multi-Cloud, Multi-Tenant Cloud Environments, IT Automation, Scalability, Cloud Infrastructure, Ansible, Microsoft Azure, Cloud Management, Cloud Computing, Google Cloud Platform, Automation, Automation Engineering, Product Management

    Advanced · Course · 1 - 3 Months

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    Board Infinity

    Cloud Platforms for ML: AWS, Azure & GCP Deployment

    Skills you'll gain: AWS SageMaker, Serverless Computing, Google Cloud Platform, Cloud Deployment, Model Deployment, AI Integrations, Cloud Platforms, Cloud Computing, Amazon Web Services, Microsoft Azure, MLOps (Machine Learning Operations), Applied Machine Learning, Enterprise Architecture, Data Pipelines, Amazon S3, Scalability

    Intermediate · Course · 1 - 4 Weeks

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    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Machine Learning Methods, Network Model, Electrophysiology, Applied Machine Learning, Supervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Reinforcement Learning, Sensory Systems Analysis, Matlab, Mathematical Modeling, Computer Vision, Neurology, Mathematical Software, Recurrent Neural Networks (RNNs), Physiology, Biology, Differential Equations, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
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    1.1K reviews

    Beginner · Course · 1 - 3 Months

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    INSEAD

    Blockchain, Cryptoassets, and Decentralized Finance

    Skills you'll gain: Blockchain, Digital Assets, FinTech, Agentic systems, Financial Inclusion, Business Modeling, Financial Systems, Asset Management, Payment Systems, Emerging Technologies, Business Transformation, Distributed Computing, Transaction Processing, Cryptographic Protocols, Identity and Access Management, Contract Management, Cost Reduction, Security Controls

    4.7
    Rating, 4.7 out of 5 stars
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    383 reviews

    Beginner · Course · 1 - 4 Weeks

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    The University of Edinburgh

    Code Yourself! An Introduction to Programming

    Skills you'll gain: Video Game Development, Game Design, Software Engineering, Programming Principles, Software Development, Event-Driven Programming, Computer Programming, Code Reusability, Computational Thinking, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    3.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    DeepLearning.AI

    Natural Language Processing in TensorFlow

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Generative AI, Artificial Neural Networks, Text Mining, Model Training, Applied Machine Learning, Data Preprocessing, Machine Learning, Data Processing

    4.6
    Rating, 4.6 out of 5 stars
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    6.5K reviews

    Intermediate · Course · 1 - 4 Weeks

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    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Machine Learning, Model Training, Model Optimization, Machine Learning Algorithms, Unsupervised Learning, Python Programming, Classification Algorithms, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
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    8.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Microsoft

    Introduction to Computers

    Skills you'll gain: Computer Hardware, Generative AI, Hybrid Cloud Computing, Generative Model Architectures, Enterprise Application Management, IT Infrastructure, Cloud Computing, Operating Systems, Data Storage Technologies, Patch Management, Computer Systems, Servers, System Software, Data Security, Software Development, Computer Networking, Data Integrity, OSI Models, TCP/IP, Data Processing

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    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, Prompt Engineering Tools, Infrastructure As A Service (IaaS), CI/CD, Prompt Patterns, Cloud Platforms, Cloud Storage, Application Deployment, Cloud Management, Cloud Services, Virtual Machines, Scalability, Virtual Networking, Continuous Integration

    4.6
    Rating, 4.6 out of 5 stars
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    5.2K reviews

    Beginner · Specialization · 3 - 6 Months

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    Johns Hopkins University

    Data Science: Statistics and Machine Learning

    Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Model Training, Machine Learning, GitHub

    4.4
    Rating, 4.4 out of 5 stars
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    7.2K reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Optimizing and Managing Windows 365 Cloud PCs: Packt
  • Security Architecture for Cloud and Mobile: John Wiley & Sons
  • Advanced Terraform: Multi-Cloud Production Management: Packt
  • Cloud Platforms for ML: AWS, Azure & GCP Deployment: Board Infinity
  • Computational Neuroscience: University of Washington
  • Blockchain, Cryptoassets, and Decentralized Finance: INSEAD
  • Code Yourself! An Introduction to Programming: The University of Edinburgh
  • Natural Language Processing in TensorFlow: DeepLearning.AI
  • Applied Machine Learning in Python: University of Michigan
  • Introduction to Computers: Microsoft

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