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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
    U

    Universidades AnƔhuac

    Impacto de la IA en la Innovación de Negocios

    Skills you'll gain: Innovation, Entrepreneurship, Artificial Intelligence, New Product Development, Business Transformation, Business Modeling, Business Technologies, Case Studies, Emerging Technologies, Digital Transformation, Prototyping, Algorithms, Big Data, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    Ā·
    9 reviews

    Intermediate Ā· Course Ā· 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Attention Mechanisms and Transformer Models Course

    Skills you'll gain: Generative Model Architectures, Generative AI, OpenAI, Large Language Modeling, ChatGPT, Vision Transformer (ViT), Prompt Engineering, Artificial Intelligence, Artificial Neural Networks, Transfer Learning, Deep Learning, Natural Language Processing

    Beginner Ā· Course Ā· 1 - 4 Weeks

  • Status: Preview
    Preview
    W

    Whizlabs

    Exam Prep AI-900: Microsoft Certified Azure AI Fundamentals

    Skills you'll gain: Responsible AI, Generative AI, Microsoft Azure, Image Analysis, Computer Vision, OpenAI, Artificial Intelligence, Natural Language Processing, Machine Learning, Prompt Engineering, Data Ethics, Model Evaluation, Deep Learning, Data Science, Data Preprocessing

    Beginner Ā· Course Ā· 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Automated Reasoning with GPT Assistant API: ReAct Agents

    Skills you'll gain: OpenAI API, LLM Application, Cost Benefit Analysis, Generative AI, AI Enablement, Application Programming Interface (API), Business Logic, Prompt Engineering, Scalability, Business Analysis, TypeScript, Node.JS, AI Security, System Design and Implementation, File I/O

    Intermediate Ā· Guided Project Ā· Less Than 2 Hours

  • Status: Preview
    Preview
    G

    Google Cloud

    AppSheet Administration

    Skills you'll gain: Data Integration, Administration, Enterprise Application Management, Governance, Team Management, No-Code Development, User Provisioning, Data Sharing, Management Reporting, Role-Based Access Control (RBAC), Systems Integration, Strategic Planning

    Advanced Ā· Course Ā· 1 - 3 Months

  • Status: Preview
    Preview
    G

    Google Cloud

    Conceitos bƔsicos 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 Ā· Course Ā· 1 - 3 Months

  • Status: New
    New
    P

    Pearson

    Introduction to Docker and Containers

    Skills you'll gain: Docker (Software), Containerization, CI/CD, Devops Tools, Kubernetes, DevOps, R Programming, Application Deployment, Development Environment, Software Installation, YAML, Application Development, Node.JS, Command-Line Interface, Scalability

    Intermediate Ā· Course Ā· 1 - 4 Weeks

  • P

    Packt

    Regression Analysis for Statistics & Machine Learning in R

    Skills you'll gain: Data Cleansing, R Programming, Data Preprocessing, Statistical Analysis, R (Software), Model Evaluation, Classification And Regression Tree (CART), Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction

    Intermediate Ā· Course Ā· 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Certified Kubernetes Application Developer (CKAD): Unit 4

    Skills you'll gain: Kubernetes, API Gateway, Cloud-Native Computing, Network Routing, General Networking, Load Balancing, Containerization, Microservices

    Intermediate Ā· Course Ā· 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Terraform Cloud - Automation, Workspaces, and Integration

    Skills you'll gain: Infrastructure as Code (IaC), Cloud Management, Amazon Web Services, Cloud Infrastructure, Multi-Tenant Cloud Environments, AWS Identity and Access Management (IAM), Continuous Deployment, GitHub, Identity and Access Management, Configuration Management, Version Control

    Beginner Ā· Course Ā· 1 - 3 Months

  • P

    Packt

    Software Security Testing

    Skills you'll gain: Software Testing, Open Web Application Security Project (OWASP), Business Logic, Secure Coding, Cryptography, Cybersecurity, Test Case, Identity and Access Management, Authentications, Vulnerability Assessments, Threat Modeling, Encryption, Data Validation, Network Protocols, Authorization (Computing), Web Applications

    Intermediate Ā· Course Ā· 1 - 4 Weeks

  • G

    Google Cloud

    Ingesting New Datasets into BigQuery

    Skills you'll gain: Data Warehousing, SQL, Data Management, Database Management, Google Cloud Platform, Data Integration, Data Migration, Big Data, Data Import/Export, Data Storage, Google Analytics

    Beginner Ā· Project Ā· Less Than 2 Hours

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

  • Impacto de la IA en la Innovación de Negocios:Ā Universidades AnĆ”huac
  • Attention Mechanisms and Transformer Models Course:Ā Simplilearn
  • Exam Prep AI-900: Microsoft Certified Azure AI Fundamentals:Ā Whizlabs
  • Automated Reasoning with GPT Assistant API: ReAct Agents:Ā Coursera
  • AppSheet Administration:Ā Google Cloud
  • Conceitos bĆ”sicos do Cloud Spanner:Ā Google Cloud
  • Introduction to Docker and Containers:Ā Pearson
  • Regression Analysis for Statistics & Machine Learning in R:Ā Packt
  • Certified Kubernetes Application Developer (CKAD): Unit 4:Ā Pearson
  • Terraform Cloud - Automation, Workspaces, and Integration:Ā Packt

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