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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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    U

    University of California, Irvine

    Budget- und Terminplanung von Projekten

    Skills you'll gain: Project Schedules, Milestones (Project Management), Cost Estimation, Project Controls, Project Estimation, Quality Management, Project Planning, Budget Management, Scheduling, Estimation, Project Management, Timelines, Resource Allocation, Resource Planning, Capacity Planning, Work Breakdown Structure, Matrix Management, Dependency Analysis

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    G

    Google Cloud

    Architecting with Google Kubernetes Engine: Foundations 한국어

    Skills you'll gain: Kubernetes, Containerization, Google Cloud Platform, Cloud Infrastructure, Cloud Services, Cloud Management, Application Deployment, Cloud Computing, Docker (Software), Microservices

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    Intel

    Fostering Engagement in the Age of Digital Distraction

    Skills you'll gain: Education Software and Technology, Learning Management Systems, Digital pedagogy, Teamwork, Collaboration, Classroom Management, Creative Problem-Solving, Innovation, Creativity, Motivational Skills

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    L

    LearnKartS

    AWS Tools and Services for AI

    Skills you'll gain: Prompt Engineering, Amazon Bedrock, Retrieval-Augmented Generation, Generative AI, Model Evaluation, Embeddings, Model Deployment

    Intermediate · Course · 1 - 4 Weeks

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    K

    KodeKloud

    Chaos Engineering

    Skills you'll gain: Cloud Engineering, Site Reliability Engineering, Amazon Elastic Compute Cloud, Amazon CloudWatch, Cloud-Native Computing, Kubernetes, Continuous Delivery, AWS Identity and Access Management (IAM), Infrastructure as Code (IaC), System Monitoring, Serverless Computing, Performance Testing, Scenario Testing

    Beginner · Course · 1 - 3 Months

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    D

    DeepLearning.AI

    시퀀스 모델

    Skills you'll gain: Recurrent Neural Networks (RNNs), Natural Language Processing, Deep Learning, Artificial Neural Networks, Embeddings, Transfer Learning, Hugging Face, Data Processing, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    GKE Autopilot: Qwik Start

    Skills you'll gain: Containerization, Kubernetes, Application Deployment, Google Cloud Platform, Cloud Deployment, Capacity Management, Application Development, Scalability, System Monitoring

    Beginner · Project · Less Than 2 Hours

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    G

    Google Cloud

    Conceitos básicos do Cloud Spanner

    Skills you'll gain: Google Cloud Platform, Relational Databases, Database Management, Databases, Data Migration, Operational Databases, Database Architecture and Administration, Query Languages, Cloud Computing Architecture, Distributed Computing, System Monitoring, Terraform, Dataflow, Data Maintenance, Application Deployment

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Innovating with Google Cloud Artificial Intelligence - Español

    Skills you'll gain: Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Business Transformation, Responsible AI, Business Intelligence, Data Quality, Machine Learning, Natural Language Processing, Model Deployment, Applied Machine Learning, Cloud API, Data Analysis, Image Analysis

    Beginner · Course · 1 - 4 Weeks

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    P

    Pearson

    Learning Deep Learning

    Skills you'll gain: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Vision Transformer (ViT), LLM Application, Transfer Learning, Computer Vision, Responsible AI, Natural Language Processing, Embeddings, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Multimodal Prompts

    Intermediate · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - Français

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Data Preprocessing, Google Cloud Platform, Data Pipelines, Model Deployment, Data Transformation, Deep Learning, Artificial Neural Networks, Application Programming Interface (API)

    3.4
    Rating, 3.4 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

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    J

    Johns Hopkins University

    تحليل البيانات الاستكشافية

    Skills you'll gain: Exploratory Data Analysis, Statistical Visualization, Data Visualization Software, R Programming, Ggplot2, Plot (Graphics), Statistical Methods, Data Analysis, Unsupervised Learning, Spatial Data Analysis, Dimensionality Reduction, Graphical Tools, Color Theory, Analytics

    Mixed · Course · 1 - 4 Weeks

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

  • Budget- und Terminplanung von Projekten: University of California, Irvine
  • Architecting with Google Kubernetes Engine: Foundations 한국어: Google Cloud
  • Fostering Engagement in the Age of Digital Distraction: Intel
  • AWS Tools and Services for AI: LearnKartS
  • Chaos Engineering: KodeKloud
  • 시퀀스 모델: DeepLearning.AI
  • GKE Autopilot: Qwik Start: Google Cloud
  • Conceitos básicos do Cloud Spanner: Google Cloud
  • Innovating with Google Cloud Artificial Intelligence - Español: Google Cloud
  • Learning Deep Learning: Pearson

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