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: FreeAmazon Web Services
Skills you'll gain: Amazon Web Services, Microservices, Software Architecture, Cloud Deployment, Application Deployment, Infrastructure Architecture, Enterprise Application Management
Status: PreviewDeepLearning.AI
Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Machine Learning Methods, Model Evaluation
Status: PreviewGoogle Cloud
Skills you'll gain: Transfer Learning, Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Text Mining, Natural Language Processing
Status: NewStatus: Free TrialSkills you'll gain: Lightweight Directory Access Protocols, Git (Version Control System), Authentications, Collaborative Software, Linux Servers, Linux Administration, Version Control, Authorization (Computing), Open Source Technology
Skills you'll gain: Google Cloud Platform, Data Pipelines, Big Data, Data Presentation, Email Automation, Data Processing, Kubernetes, Data Analysis, Microservices, Application Development
Skills you'll gain: Looker (Software), Business Intelligence, Data Analysis Expressions (DAX), Dashboard, Ad Hoc Analysis, SQL, Data Analysis, Google Cloud Platform
Status: FreeAmazon Web Services
Skills you'll gain: Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Migration
Status: PreviewSkills you'll gain: Dashboard, Azure Synapse Analytics, Microsoft Azure, Data Storage Technologies, Microsoft SQL Servers, Data Storage, Cloud Engineering, Data Architecture, Data Infrastructure, Performance Tuning, Query Languages, Database Design, SQL, NoSQL, Data Processing, Cloud Solutions, Analytics, Process Optimization, Data Modeling, System Monitoring
Status: PreviewGoogle Cloud
Skills you'll gain: Recurrent Neural Networks (RNNs), Machine Learning Methods, Deep Learning, Artificial Neural Networks, Text Mining, Natural Language Processing
Status: FreeAmazon Web Services
Skills you'll gain: Live Streaming, Amazon Web Services, Digital Communications, Telecommunications, Real Time Data
Status: NewStatus: Free TrialSkills you'll gain: PySpark, Apache Hadoop, Apache Spark, Big Data, Apache Hive, Analytics, Data Processing, Text Mining, Data Transformation, Distributed Computing, Java, Debugging, Java Programming
Status: NewStatus: 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
In summary, here are 10 of our most popular parallel computing courses
- Getting Started with Migration Hub Refactor Spaces: Amazon Web Services
- النماذج المتعاقبة: DeepLearning.AI
- Attention Mechanism - Español: Google Cloud
- Linux Foundation Certified System Administrator (LFCS): Unit 8: Pearson
- Build a BigQuery Processing Pipeline with Events for Cloud Run for Anthos: Google Cloud
- Answering Complex Questions Using Native Derived Tables with LookML: Google Cloud
- AWS Migration Evaluator Getting Started: Amazon Web Services
- Azure Data Engineering: Cosmos DB, SQL & Analytics: Coursera
- Attention Mechanism - 简体中文: Google Cloud
- AWS Elemental Statmux: Amazon Web Services
