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
Google Cloud
Skills you'll gain: Tensorflow, Google Cloud Platform, Model Deployment, Image Analysis, Cloud Deployment, MLOps (Machine Learning Operations), Cloud Computing, Distributed Computing
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
Skills you'll gain: Distributed Computing, Java, Middleware, NoSQL, Event-Driven Programming, Databases, Software Architecture, Servers, Web Services, Microservices, Scalability, Transaction Processing
Status: Free TrialUniversity of Illinois Urbana-Champaign
Skills you'll gain: Cloud Infrastructure, Cloud Services, Cloud Computing, Cloud Storage, Cloud Platforms, Infrastructure As A Service (IaaS), Data Storage, Middleware, Containerization, Virtualization, Virtual Machines, Cloud Applications, Amazon S3, Platform As A Service (PaaS), Scalability
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
Skills you'll gain: Performance Tuning, Operational Databases, PostgreSQL, Test Data, Database Systems, Database Management, Database Architecture and Administration, Test Case
Status: NewStatus: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Software Architecture, Cloud Development
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: Free TrialUniversity of California San Diego
Skills you'll gain: Collaborative Software, Telecommuting, Social Impact, Social Network Analysis, Remote Access Systems, Interaction Design, Driving engagement, Computing Platforms, Digital Communications
Skills you'll gain: Google Cloud Platform, Cloud Computing, Cloud Management, Cloud Infrastructure, Public Cloud, Jupyter, System Configuration, Cloud Applications
Status: Free TrialUniversity of Illinois Urbana-Champaign
Skills you'll gain: Big Data, Apache Spark, Apache Hadoop, Apache Mahout, Distributed Computing, Data Storage, Data Processing, NoSQL, Apache Kafka, Cloud Computing, Real Time Data, Databases, Analytics, Deep Learning, Scalability, Machine Learning Algorithms, Graph Theory, Machine Learning
Status: Free TrialSkills you'll gain: Virtual Machines, Google Cloud Platform, Microsoft Azure, Load Balancing, Cloud Computing Architecture, Public Cloud, Multi-Cloud, Cloud Infrastructure, Virtual Networking, Servers, Network Routing, Firewall, Scalability
In summary, here are 10 of our most popular parallel computing courses
- Running Distributed TensorFlow using Vertex AI: Google Cloud
- FPGA computing systems: A Bird’s Eye View: Politecnico di Milano
- Building Modern Distributed Systems with Java: Packt
- Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure: University of Illinois Urbana-Champaign
- Apache Spark with Scala – Hands-On with Big Data!: Packt
- Accelerating Analytical Queries using the AlloyDB Columnar Engine: Google Cloud
- Efficient Programming: University of Colorado Boulder
- Cloud Computing Project: University of Illinois Urbana-Champaign
- Social Computing: University of California San Diego
- Omnibond: Creating an HPC Environment in Google Cloud with CloudyCluster: Google Cloud
