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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
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    Google Cloud

    Data Engineer, Big Data and ML on Google Cloud auf Deutsch

    Skills you'll gain: Google Cloud Platform, Dataflow, Data Pipelines, Model Deployment, Data Warehousing, Data Lakes, Real Time Data, Data Preprocessing, Data Processing, Dashboard, Tensorflow, Cloud Engineering, Data Infrastructure, Apache Spark, Big Data, Extract, Transform, Load, Applied Machine Learning, Query Languages, Cloud Storage, Scripting Languages

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Architecting with Google Compute Engine 한국어

    Skills you'll gain: Cloud Infrastructure, Prompt Engineering, Google Cloud Platform, Identity and Access Management, Load Balancing, Google App Engine, Service Level Agreement, Virtual Machines, Infrastructure As A Service (IaaS), Virtual Networking, Application Deployment, Generative AI, Kubernetes, Cloud Computing, Cloud Services, Cloud Storage, CI/CD, Cloud Computing Architecture, Microservices, Terraform

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Machine Learning with TensorFlow Google Cloud 日本語版

    Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Model Deployment, Data Quality, Data Preprocessing, Model Evaluation, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Machine Learning, Embeddings, Exploratory Data Analysis, Applied Machine Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Logistic Regression, MLOps (Machine Learning Operations), Responsible AI, Data Pipelines, Artificial Neural Networks

    4.4
    Rating, 4.4 out of 5 stars
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    152 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Grant Proposal Plans, Sections, and Resubmission

    Skills you'll gain: Grant Writing, Grant Applications, Proposal Writing, Clinical Research Ethics, Healthcare Ethics, Medical Science and Research, Planning, Research Design, Growth Mindedness, Science and Research, Budgeting, Resilience, Constructive Feedback, Mentorship, Goal Setting, Collaboration

    4.8
    Rating, 4.8 out of 5 stars
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    31 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Mastering Software Development in R Capstone

    Skills you'll gain: Software Documentation, Leaflet (Software), Data Preprocessing, Technical Documentation, Data Cleansing, Data Visualization Software, Code Review, R Programming, GitHub, Continuous Integration, Software Testing

    4
    Rating, 4 out of 5 stars
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    44 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Responsible AI for Mental Health

    Skills you'll gain: Responsible AI, Data Ethics, Social Determinants Of Health, Psychiatry, Mental Health Counseling, Clinical Research Ethics, Health Equity, Mental Health, Artificial Intelligence, Mental Health Diseases and Disorders, Natural Language Processing, Healthcare Ethics, Data Security, Governance, Risk Mitigation, Risk Analysis

    4.5
    Rating, 4.5 out of 5 stars
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    11 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Foundations for Active Learning in STEM Courses

    Skills you'll gain: Cooperation, Interactive Learning, Education Software and Technology, Student Engagement, Pedagogy, Education and Training, Team Oriented, Instructional Strategies, Learning Theory, Student-Centred Learning, Collaboration, Teamwork, Blended Learning, Drive Engagement, Classroom Management, Mathematics Education, Digital pedagogy, Learning Management Systems, Creative Problem-Solving, Professional Development

    5
    Rating, 5 out of 5 stars
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    10 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Analytics, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Classification And Regression Tree (CART), Business Analytics, Deep Learning, Machine Learning, Risking, Model Evaluation, Mortgage Loans, Consumer Lending

    4.4
    Rating, 4.4 out of 5 stars
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    23 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    I

    Illinois Tech

    Project Management for Information Technology and Management

    Skills you'll gain: Project Scoping, Scope Management, Quality Management, Resource Planning, Project Risk Management, Stakeholder Management, Cost Management, Risk Management, Communication Strategies, Resource Allocation, Project Management, Cost Estimation, Project Management Life Cycle, Information Technology, Leadership Studies, Stakeholder Analysis, Timelines, Project Schedules, Human Resources Management and Planning, Procurement

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Infrastructure as Code with Terraform

    Skills you'll gain: Terraform, Infrastructure as Code (IaC), Cloud Infrastructure, Cloud Management, Google Cloud Platform, Cloud Deployment

    4.9
    Rating, 4.9 out of 5 stars
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    34 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision

    4.4
    Rating, 4.4 out of 5 stars
    ·
    12 reviews

    Intermediate · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Running a Node.js Container on Google Kubernetes Engine

    Skills you'll gain: Containerization, Kubernetes, Docker (Software), Cloud Deployment, Google Cloud Platform, Cloud Applications, Cloud Computing, Application Deployment, Scalability, Public Cloud, Node.JS, Cloud Storage

    Beginner · Project · Less Than 2 Hours

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

  • Data Engineer, Big Data and ML on Google Cloud auf Deutsch: Google Cloud
  • Architecting with Google Compute Engine 한국어: Google Cloud
  • Machine Learning with TensorFlow Google Cloud 日本語版: Google Cloud
  • Grant Proposal Plans, Sections, and Resubmission: University of Colorado System
  • Mastering Software Development in R Capstone: Johns Hopkins University
  • Responsible AI for Mental Health: Northeastern University
  • Foundations for Active Learning in STEM Courses: Johns Hopkins University
  • Interpretable machine learning applications: Part 3: Coursera
  • Project Management for Information Technology and Management: Illinois Tech
  • Infrastructure as Code with Terraform: Google Cloud

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