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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: Preview
    Preview
    C

    Coursera

    BIM Fundamentals: Smarter Building Design & Planning

    Skills you'll gain: Autodesk Revit, Building Information Modeling, Document Management, Engineering Documentation, Architectural Drawing, Project Coordination, Computer-Aided Design, Digital Transformation, Architectural Design, Construction Management, Collaboration, 3D Modeling, Data Modeling, Coordination, Visualization (Computer Graphics), Data Visualization

    4.2
    Rating, 4.2 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    R

    Rutgers the State University of New Jersey

    Our Share: Employee Ownership as a Wealth Sharing Tool

    Skills you'll gain: Employee Engagement, Diversity Equity and Inclusion Initiatives, Social Justice, Compensation Strategy, Case Studies, Compensation and Benefits, Economics, Policy, and Social Studies, Economic Development, Collaboration, Entrepreneurship, Governance, Business Modeling, Leadership and Management, Business Transformation, Succession Planning, Research, Business Development

    5
    Rating, 5 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    PyTorch Ultimate 2024 - From Basics to Cutting-Edge

    Skills you'll gain: PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Model Evaluation, Convolutional Neural Networks, Natural Language Processing, Deep Learning, Generative Adversarial Networks (GANs), Classification Algorithms, Transfer Learning, Applied Machine Learning, Vision Transformer (ViT), Image Analysis, Machine Learning, Computer Vision, Artificial Neural Networks, Artificial Intelligence, Unsupervised Learning, Python Programming, Embeddings, Data Preprocessing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    62 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep MLS-C01: AWS Certified Specialty Machine Learning

    Skills you'll gain: AWS Kinesis, Model Evaluation, AWS SageMaker, Machine Learning Algorithms, Data Collection, Amazon Redshift, MLOps (Machine Learning Operations), Image Analysis, Reinforcement Learning, Amazon Web Services, Model Deployment, Data Preprocessing, Scalability, Classification Algorithms, Forecasting, Feature Engineering, Algorithms, Data Analysis, Predictive Modeling, Data Modeling

    3.9
    Rating, 3.9 out of 5 stars
    ·
    42 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Fundamentals of Cross-Functional Collaboration

    Skills you'll gain: Cross-Functional Collaboration, Collaboration, Cooperation, Team Leadership, Team Management, Self-Awareness, Conflict Management, Leadership, Relationship Building, Empathy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    18 reviews

    Beginner · Course · 1 - 4 Weeks

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

    EDUCBA

    Hadoop Projects: Analyze & Optimize Big Data

    Skills you'll gain: Apache Hadoop, Big Data, Database Design, Data Processing, Distributed Computing, Scalability, Data Pipelines, Data Warehousing, Query Languages, Data Cleansing, Data Transformation, Data Management, Analytics, Business Intelligence

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Networking in Google Cloud: Network Architecture

    Skills you'll gain: Network Architecture, Network Planning And Design, Cloud Computing Architecture, Virtual Networking, Google Cloud Platform, Network Routing, Computer Networking, Network Security, Network Troubleshooting, Network Analysis, Virtual Private Networks (VPN), Firewall, Load Balancing, Scalability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Amazon Web Services

    Generative AI Applications with Amazon Bedrock

    Skills you'll gain: Amazon Bedrock, Generative AI Agents, Retrieval-Augmented Generation, Prompt Engineering, Generative AI, AI Workflows, AI Orchestration, LLM Application, Amazon Web Services, Context Management, Amazon S3

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Developing Solutions for Microsoft Azure (AZ-204)

    Skills you'll gain: Microsoft Azure, Virtual Machines, Cloud Applications, Cloud Development, Application Deployment, Redis, Active Directory, Cloud Computing, Serverless Computing, Application Performance Management, Cloud Storage, NoSQL, Key Management, Cloud Security, Scalability

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations and Core Concepts of PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Deep Learning, Machine Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Data Preprocessing, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
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    43 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    RStudio for Six Sigma - Basic Descriptive Statistics

    Skills you'll gain: Sampling (Statistics), Statistical Methods, Descriptive Statistics, Statistical Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, R (Software), Box Plots, R Programming, Data Synthesis, Probability Distribution, Probability & Statistics, Exploratory Data Analysis, Statistics, Statistical Hypothesis Testing, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    68 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Ethical Hacking

    Skills you'll gain: Penetration Testing, MITRE ATT&CK Framework, Open Web Application Security Project (OWASP), Cyber Security Assessment, Metasploit, Public Key Infrastructure, Exploit development, Exploitation techniques, Cybersecurity, Distributed Denial-Of-Service (DDoS) Attacks, Threat Modeling, Cryptography, Cyber Threat Intelligence, Mobile Security, Security Testing, Brute-force attacks, Vulnerability Scanning, Network Security, Operating Systems, Encryption

    3.9
    Rating, 3.9 out of 5 stars
    ·
    18 reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • BIM Fundamentals: Smarter Building Design & Planning: Coursera
  • Our Share: Employee Ownership as a Wealth Sharing Tool: Rutgers the State University of New Jersey
  • PyTorch Ultimate 2024 - From Basics to Cutting-Edge: Packt
  • Exam Prep MLS-C01: AWS Certified Specialty Machine Learning: Whizlabs
  • Fundamentals of Cross-Functional Collaboration: University of Colorado System
  • Hadoop Projects: Analyze & Optimize Big Data: EDUCBA
  • Networking in Google Cloud: Network Architecture: Google Cloud
  • Generative AI Applications with Amazon Bedrock: Amazon Web Services
  • Developing Solutions for Microsoft Azure (AZ-204): Packt
  • Foundations and Core Concepts of PyTorch: Packt

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