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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
    I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EC-Council

    Cybersecurity Attack and Defense Fundamentals

    Skills you'll gain: Digital Forensics, Penetration Testing, Network Security, Threat Management, Mobile Security, Distributed Denial-Of-Service (DDoS) Attacks, Cloud Security, Public Key Infrastructure, Vulnerability Assessments, Cryptography, Security Controls, Vulnerability Scanning, Cybersecurity, Authorization (Computing), Malware Protection, Authentications, Identity and Access Management, Cyber Attacks, Threat Detection, Data Integrity

    4.6
    Rating, 4.6 out of 5 stars
    ·
    795 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Automating Real-World Tasks with Python

    Skills you'll gain: Web Services, Email Automation, Scripting, Automation, Python Programming, Restful API, Application Programming Interface (API), JSON, System Monitoring, Image Analysis, Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Architecting with Google Kubernetes Engine: Workloads

    Skills you'll gain: Kubernetes, Cloud-Native Computing, Google Cloud Platform, Application Deployment, Scalability, Load Balancing, Containerization, Data Persistence, Data Storage, Cloud Security, General Networking

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    M

    McMaster University

    Experimentation for Improvement

    Skills you'll gain: Experimentation, Data Visualization, Predictive Modeling, Pareto Chart, Process Improvement and Optimization, Simulation and Simulation Software, Process Optimization, Statistical Software, R Programming, Data Analysis, Statistical Analysis, R (Software), Case Studies

    4.9
    Rating, 4.9 out of 5 stars
    ·
    930 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Data Scientist Associate (DP-100) Exam Prep

    Skills you'll gain: Responsible AI, Model Deployment, Convolutional Neural Networks, Classification Algorithms, Data Analysis, Image Analysis, Model Evaluation, Transfer Learning, Data Ethics, Machine Learning, Tensorflow, Data Processing, Data Pipelines, Data Transformation, Data Preprocessing, Machine Learning Software, Distributed Computing, Information Privacy, Supervised Learning, Virtual Machines

    4.2
    Rating, 4.2 out of 5 stars
    ·
    615 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    2

    28DIGITAL

    Development of Secure Embedded Systems

    Skills you'll gain: Real-Time Operating Systems, Embedded Systems, Embedded Software, Internet Of Things, Security Requirements Analysis, Network Architecture, Network Security, Operating Systems, Cybersecurity, Web Services, Encryption, Network Protocols, Public Key Cryptography Standards (PKCS), System Programming, Simple Object Access Protocol (SOAP), Application Development, System Requirements, C (Programming Language), System Design and Implementation, Software Development

    4.3
    Rating, 4.3 out of 5 stars
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    1.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Introduction to Data Engineering

    Skills you'll gain: Data Pipelines, Data Architecture, Requirements Analysis, Amazon Web Services, Data Warehousing, Data Processing, System Requirements, Extract, Transform, Load, Performance Tuning, Security Controls, Cloud Computing, Scalability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    479 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Django Application Development with SQL and Databases

    Skills you'll gain: Django (Web Framework), Object-Relational Mapping, SQL, Cloud Deployment, Bootstrap (Front-End Framework), Relational Databases, Database Management, Database Design, Full-Stack Web Development, Databases, Web Applications, Authentications, Model View Controller, Application Development, Authorization (Computing), Responsive Web Design

    4.5
    Rating, 4.5 out of 5 stars
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    350 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Artificial Intelligence on Microsoft Azure

    Skills you'll gain: Responsible AI, Anomaly Detection, Computer Vision, Artificial Intelligence, Microsoft Azure, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Data Ethics, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Image Analysis, Applied Machine Learning, Autoencoders, Classification And Regression Tree (CART), Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Finding Hidden Messages in DNA (Bioinformatics I)

    Skills you'll gain: Bioinformatics, Molecular Biology, Data Analysis, Biochemistry, Biology, Algorithms, Microbiology, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 3 Months

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

  • Introduction to Neural Networks and PyTorch: IBM
  • Cybersecurity Attack and Defense Fundamentals: EC-Council
  • Automating Real-World Tasks with Python: Google
  • Architecting with Google Kubernetes Engine: Workloads: Google Cloud
  • Experimentation for Improvement: McMaster University
  • Microsoft Azure Data Scientist Associate (DP-100) Exam Prep: Microsoft
  • Development of Secure Embedded Systems: 28DIGITAL
  • Introduction to Data Engineering: DeepLearning.AI
  • Django Application Development with SQL and Databases: IBM
  • Artificial Intelligence on Microsoft Azure: Microsoft

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Application Programming Interfaces (17)
Data Structure (16)
Problem Solving (14)
Object-oriented Programming (13)
Kubernetes (10)
List & Label (10)

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