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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
    D

    Duke University

    Data Tidying and Importing with R

    Skills you'll gain: Web Scraping, Data Ethics, Data Transformation, Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Manipulation, Data Collection, Data Pipelines, Data Preprocessing, Personally Identifiable Information, Data Integrity, R Programming, Exploratory Data Analysis, Information Privacy, Statistical Programming

    5
    Rating, 5 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to Data Engineering on Google Cloud - Español

    Skills you'll gain: Metadata Management, Data Pipelines, Data Processing, Google Cloud Platform, Data Migration, Cloud Storage, Apache Airflow, Data Lakes, Data Storage, Big Data, Data Infrastructure, Extract, Transform, Load, Apache Spark, IT Automation, Data Management, Data Transformation, Serverless Computing, SQL

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Starweaver

    Future of Production

    Skills you'll gain: Lean Manufacturing, Manufacturing and Production, Production Process, Manufacturing Processes, Quality Management, Sustainable Business, Emerging Technologies, Sustainable Technologies, Strategic Leadership, Operational Efficiency, Big Data, Product Quality (QA/QC), Process Optimization, Internet Of Things, Data-Driven Decision-Making, 3D Assets, Automation, Waste Minimization, Digital Transformation, Robotics

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Deep-Dive into Tensorflow Activation Functions

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning Methods, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Essential Cloud Infrastructure: Foundation - 한국어

    Skills you'll gain: Cloud Infrastructure, Virtual Machines, Virtual Networking, Google Cloud Platform, Cloud Computing Architecture, Infrastructure Architecture, Cloud Computing, Cloud Storage, Application Deployment, Network Security, Command-Line Interface

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Machine Learning with PySpark: Recommender System

    Skills you'll gain: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Predictive Modeling, Unsupervised Learning, Applied Machine Learning, Scatter Plots, Embeddings, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Beer Quality: Flavor

    Skills you'll gain: Food and Beverage, Chemistry, Process Control, Laboratory Testing, Analytical Testing, Product Testing, Human Factors, Microbiology

    5
    Rating, 5 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    G

    Google Cloud

    Scaling Microservices App: Migration to Redis Enterprise on Google Cloud

    Skills you'll gain: Redis, Terraform, Infrastructure as Code (IaC), Scalability, Google Cloud Platform, Patch Management, Cloud Management, Microservices, Kubernetes, Cloud Deployment, Data Migration

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Azure ML: Designing and Preparing Machine Learning Solutions

    Skills you'll gain: Model Deployment, Data Management, Data Pipelines, Statistical Modeling

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    CNNs with TensorFlow: Basics of Machine Learning

    Skills you'll gain: Tensorflow, Convolutional Neural Networks, Keras (Neural Network Library), Matplotlib, Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Python Programming, Model Evaluation, Adaptability, Problem Solving

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Vertex AI Search for Commerce

    Skills you'll gain: AI Personalization, AI Enablement, Data Integration, Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Cloud Management, Data Modeling, System Monitoring, Restful API, Performance Measurement

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Generate Reports with the Help of a Flow Inside Power Apps

    Skills you'll gain: Microsoft Power Platform, Microsoft Power Automate/Flow, Email Automation, Document Management, Management Reporting, Workflow Management, No-Code Development, Records Management, Microsoft 365

    Beginner · Guided Project · Less Than 2 Hours

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1…259260261…367

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

  • Data Tidying and Importing with R: Duke University
  • Introduction to Data Engineering on Google Cloud - Español: Google Cloud
  • Future of Production: Starweaver
  • Deep-Dive into Tensorflow Activation Functions: Coursera
  • Essential Cloud Infrastructure: Foundation - 한국어: Google Cloud
  • Machine Learning with PySpark: Recommender System: Coursera
  • Beer Quality: Flavor: University of California, Davis
  • Scaling Microservices App: Migration to Redis Enterprise on Google Cloud: Google Cloud
  • Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs
  • CNNs with TensorFlow: Basics of Machine Learning: Coursera

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