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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.


Popular Parallel Computing Courses and Certifications


  • A

    Amazon Web Services

    Capstone: Following the AWS Well Architected Framework

    Skills you'll gain: Cloud Computing Architecture, Amazon Web Services, Cloud Security, Operational Excellence, Reliability, Solution Architecture, Cloud-Native Computing, Systems Architecture, Corporate Sustainability, Operational Efficiency, Security Strategy, Operational Performance Management, Scalability, Cost Management, Disaster Recovery, Interviewing Skills

    4.6
    Rating, 4.6 out of 5 stars
    ·
    49 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Building Smarter Data Pipelines: SQL, Spark, Kafka & GenAI

    Skills you'll gain: Apache Kafka, Data Warehousing, Extract, Transform, Load, Microsoft SQL Servers, Snowflake Schema, Star Schema, Performance Tuning, Data Pipelines, Cloud Computing Architecture, Business Intelligence, Real Time Data, Apache Hadoop, Data Modeling, Data Quality, Responsible AI, Apache Spark, SQL, Generative AI, Data Governance, Quality Management

    4.3
    Rating, 4.3 out of 5 stars
    ·
    91 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Sciences Po

    Data and Urban Governance

    Skills you'll gain: Social Sciences, Governance, Data Sharing, Digital Transformation, Policy Analysis, Data Analysis, Big Data, Algorithms, Data Ethics, Computing Platforms, Data-Driven Decision-Making, Personally Identifiable Information, Information Privacy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    50 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    INSEAD

    Generative AI and Blockchain

    Skills you'll gain: Agentic systems, Blockchain, Emerging Technologies, AI Security, Healthcare 5.0, AI Enablement, FinTech, Responsible AI, Artificial Intelligence, Generative AI, Internet Of Things, Web Applications, Distributed Computing, Business Ethics, Digital Assets, Data Integrity

    4.8
    Rating, 4.8 out of 5 stars
    ·
    26 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    The PL-900 Practice Exam

    Skills you'll gain: Microsoft Power Platform, Power BI, Microsoft Power Automate/Flow, Power Apps Component Framework, No-Code Development, Computing Platforms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    38 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Architecting with Google Kubernetes Engine 日本語版

    Skills you'll gain: Kubernetes, Prompt Engineering, Google Cloud Platform, Cloud Infrastructure, Containerization, Cloud Management, Capacity Management, Cloud Storage, Cloud Services, Identity and Access Management, Application Deployment, Virtual Machines, Infrastructure As A Service (IaaS), Generative AI Agents, Cloud-Native Computing, CI/CD, Cloud Computing, Scalability, Network Infrastructure, Cloud Security

    4.5
    Rating, 4.5 out of 5 stars
    ·
    718 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Y

    Yonsei University

    Smart Device & Mobile Emerging Technologies

    Skills you'll gain: Wireless Networks, Telecommunications, Apple iOS, Display Devices, Product Planning, Android (Operating System), Business Strategy, Network Analysis, Emerging Technologies, Operating Systems, Peripheral Devices, Market Trend, Technical Standard

    4.7
    Rating, 4.7 out of 5 stars
    ·
    486 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    L’IA pour tous

    Skills you'll gain: AI Product Strategy, Business Strategy, Artificial Intelligence, Data Ethics, Artificial Neural Networks, Data Science, Cross-Functional Collaboration, Deep Learning, Machine Learning, Recruitment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    45 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Strategies for Cloud Security Risk Management

    Skills you'll gain: Cloud Security, Risk Management Framework, Data Security, DevSecOps, Personally Identifiable Information, Cloud Management, Security Management, ISO/IEC 27001, NIST 800-53, Infrastructure as Code (IaC), Cyber Security Policies, Security Controls, Google Cloud Platform, Cybersecurity

    4.6
    Rating, 4.6 out of 5 stars
    ·
    74 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure for AI and Machine Learning

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Azure DevOps, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Data Pipelines, Data Preprocessing, CI/CD, Continuous Monitoring, Debugging, Identity and Access Management, Version Control, Data Storage, Scalability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Desarrollo de aplicaciones con Android

    Skills you'll gain: Android Development, Android Studio, Mobile Development, Application Development, Application Lifecycle Management, User Interface (UI) Design, Data Persistence, UI Components, Authorization (Computing), User Interface (UI), Data Storage, Database Management, File I/O

    4.3
    Rating, 4.3 out of 5 stars
    ·
    334 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    U

    University of Pennsylvania

    AI and Machine Learning Essentials with Python

    Skills you'll gain: Statistical Machine Learning, Data Preprocessing, Model Evaluation, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Logistic Regression, Deep Learning, Probability Distribution, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Agentic systems, Artificial Intelligence, Artificial Neural Networks, Algorithms, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    42 reviews

    Intermediate · Specialization · 3 - 6 Months

Searches related to parallel computing

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1…979899…363

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

  • Capstone: Following the AWS Well Architected Framework: Amazon Web Services
  • Building Smarter Data Pipelines: SQL, Spark, Kafka & GenAI: Coursera
  • Data and Urban Governance: Sciences Po
  • Generative AI and Blockchain: INSEAD
  • The PL-900 Practice Exam: Microsoft
  • Architecting with Google Kubernetes Engine 日本語版: Google Cloud
  • Smart Device & Mobile Emerging Technologies: Yonsei University
  • L’IA pour tous: DeepLearning.AI
  • Strategies for Cloud Security Risk Management: Google Cloud
  • Microsoft Azure for AI and Machine Learning: Microsoft

Skills you can learn in Software Development

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Google (25)
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Web (19)
Google Cloud Platform (18)
Application Programming Interfaces (17)
Data Structure (16)
Problem Solving (14)
Object-oriented Programming (13)
Kubernetes (10)
List & Label (10)

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