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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


  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Reliable Cloud Infrastructure: Design and Process 日本語版

    Skills you'll gain: Cloud Infrastructure, CI/CD, Microservices, Application Deployment, Kubernetes, Cloud Computing Architecture, Google App Engine, Google Cloud Platform, DevOps, Network Architecture, API Design, Cloud Storage, Cloud Security, System Design and Implementation, Load Balancing, Service Design, Scalability, System Monitoring

    4.6
    Rating, 4.6 out of 5 stars
    ·
    81 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep MLS-C01: AWS Certified Specialty Machine Learning

    Skills you'll gain: AWS Kinesis, AWS SageMaker, Machine Learning Algorithms, Data Collection, Amazon Redshift, MLOps (Machine Learning Operations), Image Analysis, Reinforcement Learning, Amazon Web Services, Scalability, Forecasting, Feature Engineering, Algorithms, Machine Learning, Technical Design, Data Analysis, Real Time Data, Predictive Modeling, Applied Machine Learning, Data Modeling

    3.9
    Rating, 3.9 out of 5 stars
    ·
    40 reviews

    Beginner · Specialization · 1 - 3 Months

  • A

    Amazon Web Services

    Integrating AWS with the SDK

    Skills you'll gain: AWS Identity and Access Management (IAM), Amazon DynamoDB, Amazon S3, Amazon Elastic Compute Cloud, API Gateway, Serverless Computing, Cloud API, Application Programming Interface (API), Identity and Access Management, Amazon Web Services, Authentications, Cloud Applications, Authorization (Computing), NoSQL, Cloud Storage, Public Cloud, Data Storage

    4.6
    Rating, 4.6 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Cloud Engineering, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Amazon S3, Machine Learning, Machine Learning Algorithms, Python Programming

    3.7
    Rating, 3.7 out of 5 stars
    ·
    52 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Developing Applications with Cloud Run on Google Cloud: Fundamentals

    Skills you'll gain: Serverless Computing, Google Cloud Platform, Cloud Applications, Cloud Services, Application Development, Containerization, Cloud-Based Integration, Cloud Security, Application Deployment, Identity and Access Management, Scalability

    4.4
    Rating, 4.4 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Español

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Data Quality, Machine Learning, Applied Machine Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Google Cloud Platform, MLOps (Machine Learning Operations), Supervised Learning, Machine Learning Algorithms, Data Strategy, Predictive Modeling, Artificial Neural Networks, Dataflow, Data Pipelines, Performance Tuning, Deep Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    448 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    39 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    Advanced Study of Protection Schemes and Switchgear

    Skills you'll gain: Electrical Substation, Electric Power Systems, High Voltage, Electrical Systems, Electrical Equipment, Electrical Safety, Electrical Engineering, Control Systems, Automation Engineering, Artificial Neural Networks

    4.4
    Rating, 4.4 out of 5 stars
    ·
    32 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau

    Skills you'll gain: Data Analysis Expressions (DAX), Power BI, Pivot Tables And Charts, Microsoft Excel, R Programming, Alteryx, Dashboard, Statistical Programming, Data Transformation, Tableau Software, Data Cleansing, Data Visualization Software, Interactive Data Visualization, Business Reporting, Debugging, Data Visualization, Automation, Python Programming, Data Structures, Statistical Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    22 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Agile Organization

    Skills you'll gain: Change Management, Organizational Change, Culture Transformation, Organizational Development, Agile Project Management, Agile Methodology, Leadership Studies, Business Transformation, Scalability, Agile Product Development, Leadership and Management, Organizational Strategy, Case Studies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    434 reviews

    Beginner · Course · 1 - 4 Weeks

  • A

    Amazon Web Services

    DevOps and AI on AWS: Upgrading Apps with Generative AI

    Skills you'll gain: Prompt Engineering, Amazon Bedrock, Responsible AI, Application Deployment, Amazon Elastic Compute Cloud, Unit Testing, Amazon Web Services, Generative AI, LLM Application, DevOps, Git (Version Control System), CI/CD, Artificial Intelligence, Application Lifecycle Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    28 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Working with Artifact Registry

    Skills you'll gain: Apache Maven, Package and Software Management, Google Cloud Platform, Google App Engine, CI/CD, Containerization, Release Management, Cloud Computing

    Beginner · Project · Less Than 2 Hours

Searches related to parallel computing

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

  • Reliable Cloud Infrastructure: Design and Process 日本語版: Google Cloud
  • Exam Prep MLS-C01: AWS Certified Specialty Machine Learning: Whizlabs
  • Integrating AWS with the SDK: Amazon Web Services
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • Developing Applications with Cloud Run on Google Cloud: Fundamentals: Google Cloud
  • Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud
  • Essential Causal Inference Techniques for Data Science: Coursera
  • Advanced Study of Protection Schemes and Switchgear: L&T EduTech
  • Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau: Packt
  • Agile Organization: University of Colorado System

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