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 TrialRice University
Skills you'll gain: Combinatorics, Probability, Programming Principles, Program Development, Computational Thinking, Computer Programming, Object Oriented Programming (OOP), Development Testing, Software Testing, Applied Mathematics, Debugging, Algorithms, Python Programming, Game Design, Simulations
Status: PreviewJohns Hopkins University
Skills you'll gain: Computer Systems, Informatics, Data Processing, Data Sharing, Computing Platforms, Bioinformatics, Data Storage, Computer Literacy, Computer Hardware, Big Data, Capacity Management, Data Centers, Computer Security Awareness Training, Cloud Computing, Oncology
Status: PreviewÉcole Polytechnique Fédérale de Lausanne
Skills you'll gain: Apache Spark, Scala Programming, Big Data, Data Manipulation, Distributed Computing, Data Processing, Performance Tuning, SQL, Programming Principles, Data Storage Technologies
Status: Free TrialJohns Hopkins University
Skills you'll gain: Apache Hadoop, Data Processing, Distributed Computing, Performance Tuning, Big Data, Software Architecture, Scalability
Status: Free TrialRice University
Skills you'll gain: Java Programming, Java, Data Structures, System Programming, Programming Principles, Debugging, Algorithms, Performance Testing
Status: PreviewNortheastern University
Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Programming Principles, Pseudocode, Theoretical Computer Science, Data Structures, Computer Programming, Performance Tuning, Scalability, Design Strategies
Status: Free TrialUniversity of Illinois Urbana-Champaign
Skills you'll gain: Cloud Applications, Cloud Computing, Cloud Platforms, Cloud Computing Architecture, Cloud Services, Virtual Networking, Distributed Computing
Status: FreeSkills you'll gain: .NET Framework, Performance Tuning, Debugging, Performance Testing, C# (Programming Language), Data-oriented programming, Application Development
Status: Free TrialWhizlabs
Skills you'll gain: Serverless Computing, Amazon S3, Amazon Elastic Compute Cloud, API Gateway, Cloud Security, Data Storage, Cloud Deployment, Application Deployment, File Systems, Data Encryption Standard
Skills you'll gain: Data Visualization, Data Visualization Software, Data Presentation, Interactive Data Visualization, Data Literacy, Visualization (Computer Graphics), Javascript, Data Analysis, Microsoft Visual Studio
Status: Free TrialSkills you'll gain: Load Balancing, Google Cloud Platform, Virtual Machines, Amazon Elastic Compute Cloud, Cloud Computing Architecture, Amazon Web Services, Cloud Infrastructure, Multi-Cloud, Virtualization, Virtual Networking, Network Routing, Firewall
Google Cloud
Skills you'll gain: Apache Spark, PySpark, Google Cloud Platform, Cloud Management, Cloud Computing, Distributed Computing, Package and Software Management
In summary, here are 10 of our most popular parallel computing courses
- Principles of Computing (Part 1):Â Rice University
- Computing for Cancer Informatics:Â Johns Hopkins University
- Big Data Analysis with Scala and Spark (Scala 2 version): École Polytechnique Fédérale de Lausanne
- YARN MapReduce Architecture and Advanced Programming:Â Johns Hopkins University
- Concurrent Programming in Java:Â Rice University
- Program Structure and Algorithms Part 1:Â Northeastern University
- Cloud Computing Project:Â University of Illinois Urbana-Champaign
- Advanced .NET with TPL & PLINQ: Conducting Performance Boost:Â Coursera
- AWS: Compute and Storage:Â Whizlabs
- Simple Parallel Coordinates Plot using d3 js:Â Coursera
