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 TrialPearson
Skills you'll gain: Cloud Deployment, Application Deployment, CI/CD, Containerization, Development Environment, API Testing, Development Testing, Amazon Web Services, AWS CloudFormation, Unit Testing, Docker (Software), Kubernetes, API Gateway, Infrastructure as Code (IaC), Software Development, Configuration Management, Software Versioning
Google Cloud
Skills you'll gain: Google Cloud Platform, Data Import/Export, Data Capture, Unstructured Data, Scripting, Data Manipulation
Status: NewStatus: PreviewSkills you'll gain: AI Workflows, Agentic systems, AI Orchestration, AI Enablement, Advanced Analytics, Data Processing, Enterprise Architecture, Automation, Data Transformation, Artificial Intelligence, Continuous Improvement Process, Data Quality, Application Deployment, Scalability, Performance Tuning, Business Metrics, Software Design Patterns
Google Cloud
Skills you'll gain: Database Design, Google Cloud Platform, NoSQL, Data Access, Big Data, Command-Line Interface
Skills you'll gain: Kubernetes, Application Deployment, CI/CD, Role-Based Access Control (RBAC), Google Cloud Platform, Cloud Management
Skills you'll gain: Jenkins, Selenium (Software), Apache Maven, CI/CD, Object Oriented Programming (OOP), JUnit, Java, Software Design Patterns, Test Automation, Software Testing, Maintainability, Test Case, Browser Compatibility, Software Design, Test Execution Engine
Status: Free TrialPearson
Skills you'll gain: Amazon CloudWatch, AWS CloudFormation, Amazon Web Services, Cloud Applications, Scalability, CI/CD, Infrastructure as Code (IaC), Containerization, Application Development, Application Performance Management, Cloud API
Skills you'll gain: Cloud Applications, Cloud Development, Application Development, Google Cloud Platform, API Gateway, Application Programming Interface (API), Cloud API, Serverless Computing, Authentications, Identity and Access Management, Secure Coding, Node.JS, Event-Driven Programming, Back-End Web Development, Authorization (Computing)
Skills you'll gain: Network Architecture, Network Planning And Design, Cloud Computing Architecture, Virtual Networking, Network Troubleshooting, Network Infrastructure, Network Security, Network Routing, Google Cloud Platform, Network Analysis
Skills you'll gain: Prompt Engineering, Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, AI Orchestration, Big Data, Model Deployment, No-Code Development
Skills you'll gain: OAuth, Cloud Security, Authorization (Computing), Identity and Access Management, Google Cloud Platform, Proxy Servers
Status: PreviewSkills you'll gain: Data Pipelines, Google Cloud Platform, Data Processing, Systems Design, Data Storage, Data Architecture, Data Warehousing, Data Migration, Data Analysis, Data Transformation, Data Management, Data Preprocessing, Automation, Data Security
In summary, here are 10 of our most popular parallel computing courses
- AWS Developer: Unit 4: Pearson
- Form Parsing with Document AI (Python): Google Cloud
- Agentic AI Content for Practitioners (Teams: Data): Coursera
- Designing and Querying Bigtable Schemas: Google Cloud
- Automate GKE Configurations with Config Sync and Policy Controller: Google Cloud
- Design Selenium Test Framework: Architect Level: Packt
- AWS Developer: Unit 11: Pearson
- Securing and Integrating Components of Your App - Español: Google Cloud
- Networking in Google Cloud: Network Architecture - Português Brasileiro: Google Cloud
- Introduction to AI and Machine Learning on GC - 繁體中文: Google Cloud
