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  • Parallel Computing

Parallel Computing Courses

Parallel computing courses can help you learn about distributed systems, concurrency, and performance optimization techniques. You can build skills in task scheduling, load balancing, and debugging parallel applications. Many courses introduce tools like MPI (Message Passing Interface) and OpenMP, that support implementing parallel algorithms and enhancing computational efficiency.


More to explore:

Popular Parallel Computing Courses and Certifications


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    Microsoft

    Advanced C# Language Features & Object-Oriented Programming

    Skills you'll gain: C# (Programming Language), Object Oriented Programming (OOP), Software Design Patterns, Software Architecture, Software Design, Secure Coding, Computer Programming, System Design and Implementation, Data Integrity, Maintainability, Scalability, Programming Principles, Code Review, Software Documentation, AI Workflows, Debugging

    Beginner · Course · 1 - 3 Months

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    Coursera

    Connect and Transform External Data Seamlessly

    Skills you'll gain: OAuth, JSON, Data Wrangling, Application Programming Interface (API), API Design, Application Security

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Build a Restaurant Management System Using C# .NET

    Skills you'll gain: Billing Systems, Registration, Invoicing, Restaurant Management, Microsoft Visual Studio, Security Testing, Point of Sale, Order Management, Scalability

    Beginner · Course · 1 - 3 Months

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    Coursera

    Advanced Branding in Canva

    Skills you'll gain: Canva (Software), Logo Design, Branding, Brand Strategy, Style Guides, Typography, Brand Management, Creative Design, Marketing Design, Graphic Design, Color Theory, Graphic and Visual Design, Digital Design, Governance, Asset Management, Layout Design, Scalability

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Worksoft Certify for Test Automation (Beginner)

    Skills you'll gain: Test Automation, Test Data, Test Tools, Maintainability, Test Case, Business Process Automation, Test Execution Engine, Enterprise Application Management, Automation, Case Studies, Business Reporting, User Acceptance Testing (UAT), No-Code Development, Business Process, SAP Applications, Process Validation, Scalability

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Open Generative AI: Build with Open Models and Tools

    Skills you'll gain: Generative Model Architectures, Large Language Modeling, Generative AI, Model Evaluation, Model Deployment, Data Ethics, Data Validation, Data Cleansing, Data Quality, Image Quality, Data Preprocessing, AI Workflows, Dashboard, Transfer Learning, Text Mining, Open Source Technology, Image Analysis, Hugging Face, Data Collection, Cloud Computing

    Intermediate · Professional Certificate · 3 - 6 Months

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    EDUCBA

    Apply R Techniques for Telecom Customer Churn Prediction

    Skills you'll gain: Feature Engineering, Data Preprocessing, Applied Machine Learning, Model Evaluation, R Programming, Data Transformation, Data Manipulation, Data Cleansing, Predictive Modeling, Predictive Analytics, Supervised Learning, Classification Algorithms, Machine Learning Algorithms

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Architect Resilient Microservices for AI Success

    Skills you'll gain: AI Security, Microservices, Site Reliability Engineering, Failure Analysis, Distributed Computing, Middleware, Failure Mode And Effects Analysis, Continuous Monitoring, AI Workflows, Performance Tuning, Dependency Analysis, Performance Metric, Performance Analysis, Application Performance Management, System Monitoring, Service Level

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Agentic AI Content for Practitioners (Teams: Data)

    Skills you'll gain: AI Workflows, Agentic systems, AI Orchestration, AI Enablement, Advanced Analytics, Data Processing, Enterprise Architecture, Automation, Data Transformation, Artificial Intelligence, Continuous Improvement Process, Data Quality, Application Deployment, Scalability, Performance Tuning, Business Metrics, Software Design Patterns

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Analyze Data Using R for Statistical Analytics

    Skills you'll gain: Analytical Skills, Statistical Methods, Exploratory Data Analysis, Business Analytics, Data Analysis, Statistical Analysis, R Programming, Visualization (Computer Graphics), Predictive Analytics, Statistical Modeling, Data Structures, Time Series Analysis and Forecasting, Regression Analysis, Programming Principles, Decision Tree Learning

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Electronic Schematics: From Symbols to Systems

    Skills you'll gain: Electronic Components, Schematic Diagrams, Prototyping, Hardware Design, Electronics, Engineering Design Process, Technical Design, Electronics Engineering, Electronic Systems, Manufacturing Standards, Technical Standard, Engineering Documentation, Workflow Management, Data Visualization, Verification And Validation

    Intermediate · Course · 1 - 4 Weeks

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    IBM

    Developing Back-End Apps with Node.js and Express

    Skills you'll gain: Node.JS, Full-Stack Web Development, Server Side, Back-End Web Development, Restful API, Web Applications, Web Development, Cloud Computing, Web Servers, Javascript, GitLab, Authentications, JSON, Computer Science, Middleware

    4.5
    Rating, 4.5 out of 5 stars
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    605 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Advanced C# Language Features & Object-Oriented Programming: Microsoft
  • Connect and Transform External Data Seamlessly: Coursera
  • Build a Restaurant Management System Using C# .NET: EDUCBA
  • Advanced Branding in Canva: Coursera
  • Worksoft Certify for Test Automation (Beginner): Coursera
  • Open Generative AI: Build with Open Models and Tools: Coursera
  • Apply R Techniques for Telecom Customer Churn Prediction: EDUCBA
  • Architect Resilient Microservices for AI Success: Coursera
  • Agentic AI Content for Practitioners (Teams: Data): Coursera
  • Analyze Data Using R for Statistical Analytics: EDUCBA

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