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
Skills you'll gain: Distributed Computing, Java, Middleware, NoSQL, Event-Driven Programming, Databases, Software Architecture, Servers, Web Services, Microservices, Scalability, Transaction Processing
Status: PreviewÉcole Polytechnique Fédérale de Lausanne
Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Programming Principles, Algorithms, Performance Tuning, Functional Design, Performance Testing, Computer Programming
Status: Free TrialRice University
Skills you'll gain: Graph Theory, Algorithms, Computational Thinking, Data Analysis, Data Structures, Theoretical Computer Science, Network Analysis, Analysis, Programming Principles, Python Programming
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: 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: 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 TrialUniversity of Colorado Boulder
Skills you'll gain: Public Key Cryptography Standards (PKCS), Cryptography, Data Structures, Algorithms, Encryption, Theoretical Computer Science, Computer Science, Programming Principles, Computational Thinking, IBM Cloud, Advanced Mathematics
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
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
Status: Free TrialPolitecnico di Milano
Skills you'll gain: AI Enablement, Artificial Intelligence, Cloud Platforms, Deep Learning, Hardware Architecture, Information Technology, Internet Of Things, Machine Learning Methods, Cloud Computing, Embedded Systems, Data Centers
Status: Free TrialSkills you'll gain: Data Sharing, Web Development
In summary, here are 10 of our most popular parallel computing courses
- Building Modern Distributed Systems with Java: Packt
- Parallel programming (Scala 2 version): École Polytechnique Fédérale de Lausanne
- Algorithmic Thinking (Part 1): Rice University
- FPGA computing systems: A Bird’s Eye View: Politecnico di Milano
- Data Structures & Algos: Software Development Skills: Northeastern University
- Java SE 17 Developer (1Z0-829): Unit 5: Pearson
- Distributed Programming in Java: Rice University
- Advanced Data Structures, RSA and Quantum Algorithms: University of Colorado Boulder
- Program Structure and Algorithms Part 2: Northeastern University
- Computational Vision: University of Colorado Boulder
