• For Individuals
  • For Businesses
  • For Universities
  • For Governments
Coursera
  • Coursera Plus
  • Log In
  • Join for Free
    Coursera
    • Browse
    • High Performance Computing

    High Performance Computing Courses Online

    Master high-performance computing for solving complex computational problems. Learn about parallel computing, supercomputers, and distributed systems.

    Skip to search results

    Filter by

    Subject
    Required
     *

    Language
    Required
     *

    The language used throughout the course, in both instruction and assessments.

    Learning Product
    Required
     *

    Build job-relevant skills in under 2 hours with hands-on tutorials.
    Learn from top instructors with graded assignments, videos, and discussion forums.
    Learn a new tool or skill in an interactive, hands-on environment.
    Get in-depth knowledge of a subject by completing a series of courses and projects.
    Earn career credentials from industry leaders that demonstrate your expertise.
    Earn career credentials while taking courses that count towards your Master’s degree.
    Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
    Earn a university-issued career credential in a flexible, interactive format.
    Graduate level learning within reach.

    Level
    Required
     *

    Duration
    Required
     *

    Skills
    Required
     *

    Subtitles
    Required
     *

    Educator
    Required
     *

    Explore the High Performance Computing Course Catalog

    • G

      Google Cloud

      Vertex AI Search for Retail

      Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Serverless Computing, Real Time Data, Dashboard, Cloud Infrastructure, Identity and Access Management, Big Data, Data Visualization Software, Data Integration, Cloud Security, Performance Tuning, Applied Machine Learning, Data Security, MLOps (Machine Learning Operations), CI/CD, Data Processing, Data Warehousing, Artificial Intelligence and Machine Learning (AI/ML)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16K reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      The Data Scientist’s Toolbox

      Skills you'll gain: Rmarkdown, Version Control, Data Science, Big Data, Git (Version Control System), GitHub, Data Analysis, R Programming, Statistical Programming, Development Environment, Integrated Development Environments, Software Installation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      34K reviews

      Mixed · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Genomic Data Science

      Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Molecular Biology, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Statistical Modeling, Data Structures, Data Analysis, R Programming, Computational Thinking, Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      Universidad Nacional Autónoma de México

      Contabilidad para no contadores

      Skills you'll gain: Balance Sheet, Income Statement, Financial Statements, Accounting Records, Cash Flows, Financial Accounting, Accounting, Financial Reporting, Standard Accounting Practices, Generally Accepted Accounting Principles (GAAP), Financial Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9.5K reviews

      Beginner · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Machine Learning in Production

      Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Software Development Life Cycle, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Duke University

      Data Analysis with R

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      Assets, Threats, and Vulnerabilities

      Skills you'll gain: Threat Modeling, Threat Management, Vulnerability Management, Cyber Threat Intelligence, Cybersecurity, Cyber Attacks, Vulnerability Assessments, Threat Detection, MITRE ATT&CK Framework, Data Security, Cyber Risk, NIST 800-53, Authorization (Computing), Malware Protection, Authentications, Security Strategy, Security Controls, Risk Management Framework, Identity and Access Management, Encryption

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Getting started with Google Workspace

      Skills you'll gain: Google Docs, Gmail, Google Sheets, Google Workspace, Presentations, Calendar Management, Spreadsheet Software, File Management, Excel Formulas, Email Security, Data Visualization, Productivity Software, Collaborative Software, Excel Macros, Data Validation, Document Management, Setting Appointments, Meeting Facilitation, Sales Presentations, Version Control

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google

      Conduct UX Research and Test Early Concepts

      Skills you'll gain: UI/UX Research, Usability Testing, User Experience Design, Usability, Presentations, User Research, User Experience, Design Research, Research Design, User Centered Design, Research Methodologies, Prototyping, Interviewing Skills, Information Privacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      Data Visualization with Tableau

      Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization Software, Key Performance Indicators (KPIs), Data Visualization, Dashboard, Interactive Data Visualization, Data Mapping, Tableau Software, Proposal Development, Graphing, Histogram, Scatter Plots, Tree Maps, Exploratory Data Analysis, Statistical Visualization, Storytelling, Performance Metric, Geospatial Mapping, Heat Maps

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: AI skills
      AI skills
      M

      Meta

      Meta Marketing Analytics

      Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Marketing Analytics, Bayesian Statistics, Descriptive Statistics, Marketing Effectiveness, Statistical Hypothesis Testing, Target Audience, Marketing Strategies, Data Cleansing, Pandas (Python Package), Data Modeling, Data Analysis, Data Visualization Software, Spreadsheet Software, A/B Testing, Data Collection, Marketing, Interviewing Skills

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.8K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Functional Programming in Scala

      Skills you'll gain: Scala Programming, Apache Spark, Apache Hadoop, User Interface (UI), Distributed Computing, Programming Principles, Big Data, Software Design, Data Structures, Software Design Patterns, Functional Design, Data Manipulation, Object Oriented Programming (OOP), Interactive Data Visualization, Computer Programming, Data Processing, Real Time Data, Visualization (Computer Graphics), Performance Tuning, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11K reviews

      Intermediate · Specialization · 3 - 6 Months

    High Performance Computing learners also search

    Computing
    Performance Management
    Systems Engineering
    A/B Testing
    Optimization
    Parallel Programming
    Socket Programming
    FPGAs
    1…161718…484

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

    • Vertex AI Search for Retail: Google Cloud
    • The Data Scientist’s Toolbox: Johns Hopkins University
    • Genomic Data Science: Johns Hopkins University
    • Contabilidad para no contadores : Universidad Nacional Autónoma de México
    • Machine Learning in Production: DeepLearning.AI
    • Data Analysis with R: Duke University
    • Assets, Threats, and Vulnerabilities: Google
    • Getting started with Google Workspace: Google Cloud
    • Conduct UX Research and Test Early Concepts: Google
    • Data Visualization with Tableau: University of California, Davis

    Skills you can learn in Software Development

    Programming Language (34)
    Google (25)
    Computer Program (21)
    Software Testing (21)
    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)

    Frequently Asked Questions about High Performance Computing

    High Performance Computing (HPC) refers to the use of supercomputers or computer clusters to solve complex problems that require a significant amount of computational power. HPC typically involves the use of parallel processing, where multiple processors or computers work together to perform computations at a faster rate.

    HPC systems are designed to handle large-scale data processing and perform tasks that would be practically impossible or extremely time-consuming using traditional computing methods. These systems are used in various fields such as scientific research, engineering, weather forecasting, financial modeling, and artificial intelligence.

    The benefits of High Performance Computing include faster data analysis, enhanced simulations, and the ability to handle massive datasets. With HPC, researchers and organizations can tackle intricate problems, perform accurate modeling, and gain useful insights in a more efficient manner.

    If you are interested in studying High Performance Computing, there are various courses and resources available online that can help you understand the fundamentals, programming techniques, and optimization methods used in HPC. Some popular topics covered in these courses include parallel computing, distributed systems, GPU programming, and high-level programming languages suited for HPC tasks.

    By studying High Performance Computing, you can equip yourself with the skills necessary to work with advanced computing systems, contribute to scientific breakthroughs, and solve complex problems in various domains.‎

    To excel in the field of High Performance Computing (HPC), you would benefit from acquiring expertise in the following skills:

    1. Parallel Programming: HPC heavily relies on parallel processing to achieve high computational speeds. Learning programming languages such as C, C++, or Fortran can help you gain proficiency in writing efficient parallel algorithms.

    2. Distributed Systems: Understanding the principles and architectures of distributed systems is crucial for working with HPC. Familiarize yourself with concepts like distributed computing, cluster computing, and grid computing.

    3. Performance Optimization: Enhancing the performance of HPC applications is a vital skill. Acquire knowledge of techniques like memory optimization, workload distribution, load balancing, and algorithmic efficiency.

    4. Software Development: A strong foundation in software development practices, including version control systems (e.g., Git), debugging, and software testing, will greatly assist you in building robust and efficient HPC applications.

    5. HPC Tools and Libraries: Familiarize yourself with popular HPC tools and libraries like Message Passing Interface (MPI), OpenMP, and CUDA for parallel processing, along with HPC-specific frameworks like Apache Hadoop and Apache Spark.

    6. Computational Mathematics: Proficiency in mathematics, especially linear algebra and numerical methods, is essential for understanding and implementing algorithms used in HPC applications.

    7. System Administration: Gaining knowledge of Linux or other Unix-based operating systems, along with system-level administration skills, will help you effectively utilize HPC systems and clusters.

    8. Communication and Collaboration: HPC often involves working as part of a team, so strong communication and collaboration skills are crucial for interacting with peers, researchers, and stakeholders, as well as effectively sharing and presenting findings.

    Remember, continually staying updated with emerging technologies, attending conferences, and engaging in practical projects will further enhance your skills in High Performance Computing.‎

    With High Performance Computing (HPC) skills, you can pursue various job opportunities depending on your specific area of expertise. Some potential job roles that align with HPC skills include:

    1. HPC Developer/Programmer: You can work as a developer or programmer in organizations that focus on developing software and applications for HPC systems. This role involves designing, coding, and optimizing algorithms for parallel computing environments.

    2. HPC System Administrator: As an HPC system administrator, you would be responsible for managing and maintaining HPC clusters or supercomputers within an organization. This role includes tasks such as system setup, software installation, performance monitoring, and troubleshooting.

    3. Data Scientist/Analyst: With HPC skills, you can work as a data scientist or analyst in industries that deal with large datasets, such as finance, healthcare, or scientific research. HPC enables efficient data processing, allowing you to perform complex analyses and simulations to derive valuable insights.

    4. Research Scientist: High Performance Computing skills can be invaluable for research scientists working on scientific, engineering, or academic projects. HPC platforms enable simulations, modeling, and data analysis on a grand scale, aiding in solving significant research problems.

    5. Computational Biologist: HPC skills are highly sought after in fields like bioinformatics and computational biology. As a computational biologist, you would use HPC systems to analyze genomics, proteomics, or other biological data, contributing to advancements in medical research or drug discovery.

    6. HPC Consultant/Trainer: If you have extensive knowledge of HPC systems, you can work as a consultant or trainer, assisting organizations in implementing and optimizing HPC infrastructure. You might provide guidance on hardware selection, software optimization, parallel programming, or efficient code development.

    Remember, the specific job titles and roles available may vary depending on the industry and individual company requirements. However, acquiring High Performance Computing skills opens up opportunities in fields ranging from software development to scientific research.‎

    High Performance Computing (HPC) is a field that requires a specific set of skills and interests. People who are best suited for studying High Performance Computing typically possess the following characteristics:

    1. Strong Mathematical and Analytical Skills: HPC involves complex mathematical algorithms and data analysis. Individuals with a solid foundation in mathematics and analytical thinking are well-suited for this field.

    2. Programming Proficiency: Proficiency in programming languages such as C, C++, Python, or Fortran is essential for HPC. The ability to write efficient and optimized code is crucial for achieving high-performance results.

    3. Problem-Solving Mindset: HPC often involves solving complex problems and optimizing performance. Individuals who enjoy tackling challenging problems and finding innovative solutions are well-suited for this field.

    4. Curiosity and Continuous Learning: HPC is a rapidly evolving field, and staying updated with the latest advancements is crucial. Individuals who have a natural curiosity and a willingness to continuously learn and adapt to new technologies will thrive in this field.

    5. Strong Attention to Detail: HPC requires meticulous attention to detail, as even small errors can have significant consequences. Individuals who have a keen eye for detail and can spot and rectify errors are well-suited for this field.

    6. Teamwork and Collaboration: HPC projects often involve working in multidisciplinary teams. Individuals who can effectively collaborate, communicate, and work well with others will excel in this field.

    7. Interest in Science and Engineering: HPC is widely used in scientific research, engineering simulations, and data-intensive applications. Individuals with a genuine interest in science, engineering, and data analysis will find studying HPC rewarding.

    8. Patience and Perseverance: HPC projects can be time-consuming and require patience and perseverance. Individuals who can stay focused, dedicated, and committed to solving complex problems over extended periods will excel in this field.

    By considering these characteristics, individuals can determine if they are well-suited for studying High Performance Computing and make an informed decision about pursuing a career or course in this field.‎

    Here are some topics that are related to High Performance Computing that you can study:

    1. Parallel Computing: Learn about techniques for dividing computational tasks among multiple processors to increase performance.

    2. Cluster Computing: Explore the concepts of combining multiple computers or nodes to work together as a single system to solve complex computational problems.

    3. Distributed Computing: Understand how to break down computational tasks and distribute them across multiple computers in a network to achieve faster processing speeds.

    4. GPU Programming: delve into the programming of Graphics Processing Units (GPUs) to leverage their parallel processing capabilities for high-performance computing tasks.

    5. Scalable Computing: Study techniques for designing and building systems that can handle increasing workloads by scaling resources such as processors, memory, and storage.

    6. High-Performance Algorithms: Learn about developing efficient algorithms that can take advantage of high-performance computing architectures for faster computations.

    7. Performance Optimization: Explore techniques and strategies for optimizing code and algorithms to achieve the best possible performance in high-performance computing environments.

    8. Big Data Analytics: Understand how to process and analyze large and complex datasets efficiently using high-performance computing techniques.

    9. Cloud Computing for High-Performance Computing: Learn about utilizing cloud computing platforms and resources to perform high-performance computing tasks at scale.

    10. Quantum Computing: Discover the fundamentals of quantum computing, a rapidly advancing field that promises to revolutionize high-performance computing with its ability to process vast amounts of data simultaneously.

    These topics will provide you with a solid foundation in High Performance Computing and open up opportunities to explore more specialized areas within this field.‎

    Online High Performance Computing courses offer a convenient and flexible way to enhance your knowledge or learn new High Performance Computing (HPC) refers to the use of supercomputers or computer clusters to solve complex problems that require a significant amount of computational power. HPC typically involves the use of parallel processing, where multiple processors or computers work together to perform computations at a faster rate.

    HPC systems are designed to handle large-scale data processing and perform tasks that would be practically impossible or extremely time-consuming using traditional computing methods. These systems are used in various fields such as scientific research, engineering, weather forecasting, financial modeling, and artificial intelligence.

    The benefits of High Performance Computing include faster data analysis, enhanced simulations, and the ability to handle massive datasets. With HPC, researchers and organizations can tackle intricate problems, perform accurate modeling, and gain useful insights in a more efficient manner.

    If you are interested in studying High Performance Computing, there are various courses and resources available online that can help you understand the fundamentals, programming techniques, and optimization methods used in HPC. Some popular topics covered in these courses include parallel computing, distributed systems, GPU programming, and high-level programming languages suited for HPC tasks.

    By studying High Performance Computing, you can equip yourself with the skills necessary to work with advanced computing systems, contribute to scientific breakthroughs, and solve complex problems in various domains. skills. Choose from a wide range of High Performance Computing courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in High Performance Computing, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

    Other topics to explore

    Arts and Humanities
    338 courses
    Business
    1095 courses
    Computer Science
    668 courses
    Data Science
    425 courses
    Information Technology
    145 courses
    Health
    471 courses
    Math and Logic
    70 courses
    Personal Development
    137 courses
    Physical Science and Engineering
    413 courses
    Social Sciences
    401 courses
    Language Learning
    150 courses

    Coursera Footer

    Technical Skills

    • ChatGPT
    • Coding
    • Computer Science
    • Cybersecurity
    • DevOps
    • Ethical Hacking
    • Generative AI
    • Java Programming
    • Python
    • Web Development

    Analytical Skills

    • Artificial Intelligence
    • Big Data
    • Business Analysis
    • Data Analytics
    • Data Science
    • Financial Modeling
    • Machine Learning
    • Microsoft Excel
    • Microsoft Power BI
    • SQL

    Business Skills

    • Accounting
    • Digital Marketing
    • E-commerce
    • Finance
    • Google
    • Graphic Design
    • IBM
    • Marketing
    • Project Management
    • Social Media Marketing

    Career Resources

    • Essential IT Certifications
    • High-Income Skills to Learn
    • How to Get a PMP Certification
    • How to Learn Artificial Intelligence
    • Popular Cybersecurity Certifications
    • Popular Data Analytics Certifications
    • What Does a Data Analyst Do?
    • Career Development Resources
    • Career Aptitude Test
    • Share your Coursera Learning Story

    Coursera

    • About
    • What We Offer
    • Leadership
    • Careers
    • Catalog
    • Coursera Plus
    • Professional Certificates
    • MasterTrack® Certificates
    • Degrees
    • For Enterprise
    • For Government
    • For Campus
    • Become a Partner
    • Social Impact
    • Free Courses
    • ECTS Credit Recommendations

    Community

    • Learners
    • Partners
    • Beta Testers
    • Blog
    • The Coursera Podcast
    • Tech Blog
    • Teaching Center

    More

    • Press
    • Investors
    • Terms
    • Privacy
    • Help
    • Accessibility
    • Contact
    • Articles
    • Directory
    • Affiliates
    • Modern Slavery Statement
    • Manage Cookie Preferences
    Learn Anywhere
    Download on the App Store
    Get it on Google Play
    Logo of Certified B Corporation
    © 2025 Coursera Inc. All rights reserved.
    • Coursera Facebook
    • Coursera Linkedin
    • Coursera Twitter
    • Coursera YouTube
    • Coursera Instagram
    • Coursera TikTok