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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


  • Status: Free Trial
    Free Trial
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    Packt

    Handling Security Incidents Across Domains

    Skills you'll gain: Email Security, Incident Response, Computer Security Incident Management, Malware Protection, Cybersecurity, Network Security, Intrusion Detection and Prevention, Cyber Security Strategy, Threat Detection, Distributed Denial-Of-Service (DDoS) Attacks, Wireless Networks

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    Edureka

    Amazon Aurora Service Introduction

    Skills you'll gain: Amazon Web Services, MySQL, Database Architecture and Administration, Relational Databases, Database Management, PostgreSQL, Data Integrity, Data Storage, Cloud Infrastructure, Virtual Networking, Disaster Recovery

    Beginner · Course · 1 - 4 Weeks

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

    EDUCBA

    Machine Learning in Python: Analyze & Apply

    Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
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    Google Cloud

    Introdução à IA e ao machine learning no Google Cloud

    Skills you'll gain: Google Cloud Platform, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Cloud Infrastructure, MLOps (Machine Learning Operations), AI Enablement, AI Workflows, Data Infrastructure, Big Data, Natural Language Processing, Machine Learning, Model Deployment, Model Evaluation

    Beginner · Course · 1 - 3 Months

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    Packt

    Salesforce Integration With External Systems Part 1

    Skills you'll gain: Salesforce Object Query Language (SOQL), Salesforce Development, Simple Object Access Protocol (SOAP), Systems Integration, Salesforce, Restful API, Web Services, Data Integration, Software Development Tools, Application Programming Interface (API), Real Time Data, Test Tools, Development Environment, Postman API Platform, JSON, Authentications, Web Components

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Getting Started with NetApp Cloud Manager & Cloud Volumes ONTAP for Google Cloud

    Skills you'll gain: Google Cloud Platform, Cloud Storage, Cloud Infrastructure, Cloud Management, Virtual Machines, Cloud Deployment

    Beginner · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
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    S

    Simplilearn

    Introduction to CNN Training

    Skills you'll gain: Convolutional Neural Networks, Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Model Evaluation, Data Preprocessing, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    AWS: Databases and Migration

    Skills you'll gain: Amazon DynamoDB, Amazon Redshift, Database Management, Operational Databases, Transaction Processing, Data Migration, Amazon Elastic Compute Cloud, NoSQL, Redis, Relational Databases, Data Warehousing, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Whizlabs

    Azure AI & ML: Optimize Language Models for AI Applications

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Prompt Engineering, Cloud Deployment, Retrieval-Augmented Generation, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, AI Workflows, Data Pipelines, Continuous Monitoring, Performance Tuning, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Der Werkzeugkasten des Data Scientist

    Skills you'll gain: Rmarkdown, Data Science, Version Control, R (Software), Big Data, R Programming, Data Visualization Software, General Science and Research, GitHub, Statistical Programming, Git (Version Control System), Data Analysis, Exploratory Data Analysis, Integrated Development Environments, Software Installation

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Introduction to Responsible AI - 繁體中文

    Skills you'll gain: Responsible AI, Artificial Intelligence, Data Ethics, AI Product Strategy, Business Logic

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
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    Google Cloud

    Introduction to Vertex AI Studio - Português Brasileiro

    Skills you'll gain: Gemini, Google Gemini, Generative AI, Prompt Engineering, AI Product Strategy, Multimodal Prompts, AI Enablement, MLOps (Machine Learning Operations), Model Deployment, LLM Application, Google Cloud Platform, Performance Tuning

    Beginner · Course · 1 - 4 Weeks

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

  • Handling Security Incidents Across Domains: Packt
  • Amazon Aurora Service Introduction: Edureka
  • Machine Learning in Python: Analyze & Apply: EDUCBA
  • Introdução à IA e ao machine learning no Google Cloud: Google Cloud
  • Salesforce Integration With External Systems Part 1: Packt
  • Getting Started with NetApp Cloud Manager & Cloud Volumes ONTAP for Google Cloud: Google Cloud
  • Introduction to CNN Training: Simplilearn
  • AWS: Databases and Migration: Whizlabs
  • Azure AI & ML: Optimize Language Models for AI Applications: Whizlabs
  • Der Werkzeugkasten des Data Scientist: Johns Hopkins University

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