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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: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Understanding Open AI Workspaces

    Skills you'll gain: Generative AI, Cloud Computing, Cloud API, API Design, Python Programming, Data Persistence

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Design and Interpretation of Clinical Trials

    Skills you'll gain: Clinical Trials, Clinical Research, Healthcare Ethics, Scientific Methods, Informed Consent, Ethical Standards And Conduct, Drug Development, Statistical Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.3K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Data Architecture

    Skills you'll gain: NoSQL, Data Warehousing, Database Administration, SQL, Apache Hadoop, Database Design, Relational Databases, Data Security, Linux Commands, Data Migration, Data Pipelines, Data Governance, Database Management, Apache Kafka, Apache Airflow, Apache Spark, Bash (Scripting Language), Extract, Transform, Load, Database Architecture and Administration, Data Architecture

    4.6
    Rating, 4.6 out of 5 stars
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    7.4K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Analysis with R

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Analysis, Statistics, Data Analysis Software, Data Analysis, Probability & Statistics, Probability, R Programming, Statistical Modeling, Statistical Methods, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Introduction to Big Data

    Skills you'll gain: Big Data, Apache Hadoop, Scalability, Data Processing, Data Science, Distributed Computing, Unstructured Data, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Autoencoders, Unsupervised Learning, Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Statistical Methods, Logistic Regression, Image Analysis, Data Preprocessing, Applied Machine Learning, Model Deployment

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.2K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Organizational Change and Culture for Adopting Google Cloud

    Skills you'll gain: Business Transformation, Site Reliability Engineering, Innovation, Digital Transformation, Serverless Computing, Application Programming Interface (API), Technology Strategies, Hybrid Cloud Computing, Safety Culture, Data Strategy, Organizational Change, Change Management, Cloud Infrastructure, Cloud Computing, Cloud Solutions, Culture Transformation, People Management, Management Training And Development, CI/CD, Service Level

    4.7
    Rating, 4.7 out of 5 stars
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    2.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Data Preprocessing, Unsupervised Learning, Feature Engineering, Machine Learning Algorithms, Jupyter, Advanced Mathematics, Statistics, Artificial Neural Networks, Algorithms, Mathematical Modeling, Python Programming, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15K reviews

    Beginner · Specialization · 3 - 6 Months

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

    Coursera

    Performance Engineering for Data Systems

    Skills you'll gain: Database Design, Apache Spark, SQL, Data Transformation, Performance Tuning, Disaster Recovery, Database Management, PySpark, Query Languages, Infrastructure as Code (IaC), Data Architecture, Cloud Computing Architecture, Data Warehousing, Distributed Computing, Data Pipelines, Performance Analysis, Scalability, Root Cause Analysis, Cost Management, Resource Management

    Intermediate · Specialization · 3 - 6 Months

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

    Coursera

    Architect and Scale Robust Multi-Cloud AI Systems

    Skills you'll gain: Multi-Cloud, Enterprise Architecture, Cloud Computing Architecture, Cloud Platforms, Data-Driven Decision-Making, Solution Architecture, Systems Architecture, Cloud Infrastructure, Cloud Services, Artificial Intelligence and Machine Learning (AI/ML), Scalability, CI/CD, IT Security Architecture, Infrastructure As A Service (IaaS), Capacity Planning, Systems Analysis, Security Controls, Cost Containment, Blueprinting, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning on Google Cloud

    Skills you'll gain: Feature Engineering, Generative AI, Model Deployment, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Data Preprocessing, Data Quality, MLOps (Machine Learning Operations), Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Data Cleansing, AI Enablement, Prompt Engineering, Cloud Deployment, AI Workflows, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Sequence Models

    Skills you'll gain: Recurrent Neural Networks (RNNs), Hugging Face, Natural Language Processing, Artificial Neural Networks, Embeddings, Large Language Modeling, Deep Learning, Transfer Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    31K reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Understanding Open AI Workspaces: Coursera
  • Design and Interpretation of Clinical Trials: Johns Hopkins University
  • IBM Data Architecture: IBM
  • Data Analysis with R: Duke University
  • Introduction to Big Data: University of California San Diego
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Organizational Change and Culture for Adopting Google Cloud: Google Cloud
  • Mathematics for Machine Learning: Imperial College London
  • Performance Engineering for Data Systems: Coursera
  • Architect and Scale Robust Multi-Cloud AI Systems: Coursera

Skills you can learn in Software Development

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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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