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 TrialSkills you'll gain: Software-Defined Networking, Network Security, Infrastructure Security, Computer Networking, Local Area Networks, Network Architecture, Network Infrastructure, Wide Area Networks, Enterprise Architecture, Network Performance Management, Scalability
Skills you'll gain: AI Enablement, Cloud Development, Large Language Modeling, Image Analysis, AI Workflows, Feature Engineering, Cloud Services, Applied Machine Learning, Computer Vision, MLOps (Machine Learning Operations), Artificial Intelligence, Transfer Learning, Model Deployment, Generative AI, Natural Language Processing, Data Integration
Status: NewStatus: Free TrialSkills you'll gain: Apache Hadoop, Apache Hive, Apache Spark, Big Data, Data Import/Export, Data Integration, Relational Databases, File Systems, Command-Line Interface, Software Installation
Skills you'll gain: Gemini, Google Gemini, Google Cloud Platform, Cloud API, Multimodal Prompts, Generative AI, Prompt Engineering
Skills you'll gain: Data Migration, Google Cloud Platform, PostgreSQL, Operational Databases, Data Validation, Data Integrity, Virtual Private Networks (VPN)
Skills you'll gain: Application Deployment, Google App Engine, Network Architecture, Service Level Agreement, Cloud Computing Architecture, Kubernetes, Microservices, CI/CD, Google Cloud Platform, Service Management, Cloud Security, Cloud Storage, Devops Tools, API Design, Load Balancing, Scalability, System Monitoring, Key Performance Indicators (KPIs)
Status: FreeSkills you'll gain: Model Deployment, Analytics, R Programming, Google Sheets, Health Informatics, Predictive Modeling, Automation, Data Manipulation, GitHub, Gmail, Git (Version Control System), Command-Line Interface
Status: Free TrialSkills you'll gain: Identity and Access Management, Cloud Security, Key Management, Network Security, Cloud Computing, Multi-Factor Authentication, Network Monitoring, Firewall, Authentications, Network Protocols, Encryption
Status: NewStatus: PreviewNational Taiwan University
Skills you'll gain: Logistic Regression, Sampling (Statistics), Model Evaluation, Statistical Methods, Regression Analysis, Statistical Hypothesis Testing, Statistical Modeling, Statistical Analysis, R Programming, Business Analytics, Probability & Statistics
Skills you'll gain: Application Deployment, Cloud Infrastructure, Google App Engine, Kubernetes, Google Cloud Platform, Network Architecture, Microservices, Site Reliability Engineering, CI/CD, API Design, Cloud Computing Architecture, Cloud Storage, Service Level Agreement, Systems Design, Cloud Security, Service Design
Status: NewGoogle Cloud
Skills you'll gain: Gemini, Gmail, Google Workspace, Generative AI, Prompt Engineering, AI Personalization
Google Cloud
Skills you'll gain: Gemini, Google Workspace, Generative AI, Language Interpretation, Translation, and Studies
In summary, here are 10 of our most popular parallel computing courses
- Introduction to Software-Defined (SD) Branch: LearnQuest
- H2O Cloud AI Developer Services: H2O.ai
- Hadoop and Spark Fundamentals: Unit 3: Pearson
- Getting Started with the Vertex AI Gemini API with cURL: Google Cloud
- Migrating to AlloyDB from PostgreSQL Using Database Migration Service: Google Cloud
- Reliable Cloud Infrastructure: Design and Process - 简体中文: Google Cloud
- Automate R scripts with GitHub Actions: Deploy a model: Coursera
- CompTIA Cloud CV0-003: Unit 3: Pearson
- 商管統計資料分析三 (Analytics for Business and Management (III)): National Taiwan University
- Reliable Cloud Infrastructure: Design and Process - 繁體中文: Google Cloud
