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  • Parallel Programming

Parallel Programming Courses

Parallel programming courses can help you learn multithreading, synchronization, and performance optimization techniques. You can build skills in designing algorithms that efficiently utilize multiple processors and managing shared resources. Many courses introduce tools like OpenMP, MPI, and CUDA, that support implementing parallel computing solutions in various applications, from scientific simulations to data processing tasks.


Popular Parallel Programming Courses and Certifications


  • Status: Free Trial
    Free Trial
    H

    Howard University

    Linear Algebra for Data Science Using Python

    Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, NumPy, Predictive Modeling, Dimensionality Reduction, Data Science, Data Visualization, Applied Mathematics, Data Preprocessing, Statistical Modeling, Jupyter, Data Analysis, Machine Learning Methods, Mathematical Modeling, Algebra, Exploratory Data Analysis, Python Programming, Model Evaluation, Statistical Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    33 reviews

    Beginner · Specialization · 3 - 6 Months

  • P

    Politecnico di Milano

    Developing FPGA-accelerated cloud applications with SDAccel: Theory

    Skills you'll gain: Application Specific Integrated Circuits, Amazon Elastic Compute Cloud, Cloud Infrastructure, Cloud Development, Amazon Web Services, Hardware Architecture, Cloud Applications, Performance Tuning, Computer Architecture, Development Environment, System Design and Implementation, Programming Principles

    4.7
    Rating, 4.7 out of 5 stars
    ·
    77 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Building Intelligent Troubleshooting Agents

    Skills you'll gain: Large Language Modeling, Natural Language Processing, LLM Application, Generative AI Agents, Prompt Engineering, Test Case, Agentic systems, User Interface (UI), Artificial Intelligence and Machine Learning (AI/ML), Performance Testing, Debugging, Applied Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Classification Algorithms, Decision Support Systems, Model Evaluation, Performance Tuning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad de los Andes

    Modelos predictivos con aprendizaje automático

    Skills you'll gain: Data Ethics, Predictive Modeling, Supervised Learning, Regression Analysis, Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Classification Algorithms, Decision Tree Learning, Data Preprocessing, Analytical Skills, Python Programming, Unsupervised Learning, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
    ·
    78 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Cisco Learning and Certifications

    Threat Analysis

    Skills you'll gain: MITRE ATT&CK Framework, Threat Modeling, Cyber Threat Intelligence, Threat Detection, Threat Management, Exploit development, Computer Security Incident Management, Network Analysis, Cybersecurity, Network Security, Network Monitoring, SQL

    4.9
    Rating, 4.9 out of 5 stars
    ·
    34 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad Austral

    Procesamiento de Lenguaje Natural

    Skills you'll gain: Web Scraping, Natural Language Processing, Data Integration, Data Processing, MLOps (Machine Learning Operations), Data Preprocessing, Data Cleansing, Artificial Neural Networks, Data Manipulation, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Applied Machine Learning, Text Mining, Jupyter, Pandas (Python Package), Application Lifecycle Management, Systems Architecture, Analysis, Deep Learning, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    56 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    S

    Simplilearn

    Data Analytics with Python

    Skills you'll gain: Matplotlib, NumPy, Data Visualization, Python Programming, Pandas (Python Package), Data Analysis, Data Visualization Software, Scripting, Analytics, Data Manipulation, Real Time Data, Data Processing, Programming Principles, Data Transformation, Data Cleansing, Data Validation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    22 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Python, SQL, Tableau for Data Science

    Skills you'll gain: Data Storytelling, Data Presentation, SQL, Data Visualization Software, Database Design, AWS SageMaker, Unsupervised Learning, Data Visualization, Interactive Data Visualization, Dashboard, Feature Engineering, Database Management, Exploratory Data Analysis, A/B Testing, Tableau Software, Pandas (Python Package), Matplotlib, Python Programming, Data Analysis, Machine Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    23 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    Working with Objects in C++

    Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Computer Programming, Debugging, Model Evaluation, Test Data, Data Validation, Algorithms, Statistical Programming, Data Structures

    4.6
    Rating, 4.6 out of 5 stars
    ·
    33 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Epic Games

    Fundamentals of Level Design with Unreal Engine

    Skills you'll gain: Game Design, Software Design Documents, Unreal Engine, Video Game Development, Virtual Environment, Conceptual Design, Interactive Design, 3D Assets, Prototyping, Design Elements And Principles, Creativity

    4.3
    Rating, 4.3 out of 5 stars
    ·
    70 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    RStudio for Six Sigma - Basic Descriptive Statistics

    Skills you'll gain: Sampling (Statistics), Statistical Methods, Descriptive Statistics, Statistical Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, R (Software), Box Plots, R Programming, Data Synthesis, Probability Distribution, Probability & Statistics, Exploratory Data Analysis, Statistics, Statistical Hypothesis Testing, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    68 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Open AI for Beginners: Programmatic Prompting

    Skills you'll gain: OpenAI API, OpenAI, Prompt Engineering, JSON, Application Programming Interface (API), Web Applications, Generative AI, LLM Application, Data Processing

    4.2
    Rating, 4.2 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

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1…174175176…396

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

  • Linear Algebra for Data Science Using Python: Howard University
  • Developing FPGA-accelerated cloud applications with SDAccel: Theory: Politecnico di Milano
  • Building Intelligent Troubleshooting Agents: Microsoft
  • Modelos predictivos con aprendizaje automático: Universidad de los Andes
  • Threat Analysis: Cisco Learning and Certifications
  • Procesamiento de Lenguaje Natural: Universidad Austral
  • Data Analytics with Python: Simplilearn
  • Python, SQL, Tableau for Data Science: Coursera
  • Working with Objects in C++: University of London
  • Fundamentals of Level Design with Unreal Engine: Epic Games

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