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: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Java, Software Architecture, Systems Architecture, Programming Principles, Scala Programming, Servers, Algorithms
Status: Free TrialSkills you'll gain: Data Sharing, Web Development
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: PreviewNortheastern University
Skills you'll gain: Algorithms, Theoretical Computer Science, Data Structures, Computational Thinking, Analysis, Computer Science, Performance Tuning, Software Development, Scalability
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: PreviewPolitecnico di Milano
Skills you'll gain: System Configuration, System Design and Implementation, Computer Architecture, Hardware Architecture, Computer Hardware, Embedded Systems, Automation, Computational Logic, Performance Tuning
Status: NewStatus: Free TrialGoogle Cloud
Skills you'll gain: Cloud Infrastructure, Google Cloud Platform, Hardware Architecture, Infrastructure Architecture, Computer Hardware, Performance Tuning, Cloud Platforms, Computing Platforms
Skills you'll gain: Java Programming, Java, Performance Tuning, Spring Framework, Application Performance Management, Algorithms, JUnit, OS Process Management, Application Frameworks, Programming Principles, Performance Testing, Spring Boot, Computer Architecture
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: Free TrialSkills you'll gain: PySpark, Power BI, Apache Spark, Data Visualization Software, Distributed Computing, Databricks, Dashboard, Big Data, SQL, Business Intelligence, Data Processing, Self Service Technologies, Data Transformation, Performance Tuning
Status: Free TrialRice University
Skills you'll gain: Computational Thinking, Programming Principles, Algorithms, Pseudocode, Data Structures, Theoretical Computer Science, Computer Programming, Python Programming, Computer Science, Software Design Patterns, Debugging, Game Theory, Mathematical Modeling, Test Case
Status: NewStatus: Free TrialSkills you'll gain: Java Programming, Functional Design, Performance Tuning, Application Programming Interface (API)
Searches related to parallel computing
In summary, here are 10 of our most popular parallel computing courses
- Distributed Programming in Java:Â Rice University
- Mastering Multithreading with Go:Â Edureka
- Apache Spark with Scala – Hands-On with Big Data!: Packt
- Data Structures & Algos: Software Development Skills:Â Northeastern University
- Big Data Analysis with Scala and Spark (Scala 2 version): École Polytechnique Fédérale de Lausanne
- FPGA computing systems: A Bird’s Eye View: Politecnico di Milano
- AI Infrastructure: Cloud GPUs:Â Google Cloud
- Java Multithreading and Parallel Programming Masterclass:Â Packt
- Principles of Computing (Part 1):Â Rice University
- Data Processing, Exploratory Analysis and Visualization:Â Microsoft
