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 TrialGeorgia Institute of Technology
Skills you'll gain: Cloud Applications, Cloud Computing, Cloud Infrastructure, Distributed Computing, Virtualization, Data Store, Software Systems, Multi-Tenant Cloud Environments, Virtual Machines, Scalability, Apache Hadoop
Status: Free TrialSkills you'll gain: Apache Spark, Scala Programming, Data Processing, Big Data, Applied Machine Learning, IntelliJ IDEA, Real Time Data, Graph Theory, Development Environment, Distributed Computing, Performance Tuning
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Software Architecture, Cloud Development
Skills you'll gain: Distributed Computing, Java, Middleware, NoSQL, Event-Driven Programming, Databases, Software Architecture, Servers, Web Services, Microservices, Scalability, Transaction Processing
Status: PreviewNortheastern University
Skills you'll gain: Algorithms, Theoretical Computer Science, Data Structures, Computational Thinking, Analysis, Computer Science, Performance Tuning, Software Development, Scalability
Status: Free TrialSkills you'll gain: Java Programming, Functional Design, Performance Tuning, Application Programming Interface (API)
Status: PreviewNortheastern University
Skills you'll gain: Algorithms, Bayesian Statistics, Theoretical Computer Science, Network Model, Pseudocode, Computational Thinking, Bayesian Network, Data Structures, Graph Theory, Machine Learning Algorithms, Classification Algorithms, Network Analysis, Probability, Probability & Statistics
Skills you'll gain: Performance Tuning, Operational Databases, PostgreSQL, Test Data, Database Systems, Database Management, Database Architecture and Administration, Test Case
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Convolutional Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Computational Thinking, Deep Learning, Psychology
Skills you'll gain: Google Cloud Platform, Cloud Computing, Cloud Management, Cloud Infrastructure, Public Cloud, Jupyter, System Configuration, Cloud Applications
Status: Free TrialJohns Hopkins University
Skills you'll gain: Apache Hadoop, Data Processing, Distributed Computing, Performance Tuning, Big Data, Software Architecture, Scalability
Status: FreeSkills you'll gain: .NET Framework, Performance Tuning, Debugging, Performance Testing, C# (Programming Language), Data-oriented programming, Application Development
In summary, here are 10 of our most popular parallel computing courses
- Cloud Systems Software: Georgia Institute of Technology
- Apache Spark with Scala – Hands-On with Big Data!: Packt
- Efficient Programming: University of Colorado Boulder
- Building Modern Distributed Systems with Java: Packt
- Data Structures & Algos: Software Development Skills: Northeastern University
- Java SE 17 Developer (1Z0-829): Unit 5: Pearson
- Program Structure and Algorithms Part 2: Northeastern University
- Accelerating Analytical Queries using the AlloyDB Columnar Engine: Google Cloud
- Computational Vision: University of Colorado Boulder
- Omnibond: Creating an HPC Environment in Google Cloud with CloudyCluster: Google Cloud
