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 TrialEdureka
Skills you'll gain: Cloud Deployment
Status: NewStatus: Free TrialSkills you'll gain: NumPy, Pandas (Python Package), Image Analysis, Data Manipulation, Matplotlib, Computer Vision, Data Analysis, Interactive Data Visualization, Python Programming, Data Visualization, JSON, Dashboard, Data Visualization Software, Jupyter, Web Applications
Status: FreeAmazon Web Services
Skills you'll gain: Amazon Web Services, Amazon S3, Natural Language Processing, Unstructured Data, Solution Architecture, Software Architecture
Status: Free TrialSkills you'll gain: Google Gemini, Retrieval-Augmented Generation, Google Workspace, AI Workflows, Generative AI, Prompt Patterns, Prompt Engineering, Enterprise Security, Cloud Security
Status: NewSkills you'll gain: Cloud Development, Microservices, Scalability, Microsoft SQL Servers, Cloud Computing Architecture, Microsoft Visual Studio, Application Deployment
Status: Free TrialSkills you'll gain: Dataflow, Data Pipelines, Apache Kafka, Serverless Computing, Identity and Access Management, Cloud Security, Data Processing, Real Time Data, Data Security, Debugging, Site Reliability Engineering, Google Cloud Platform, Data Integrity, CI/CD, Extract, Transform, Load, Performance Tuning, Pandas (Python Package), Data Transformation, Event Monitoring, Unit Testing
Skills you'll gain: Grafana, Apache Kafka, Real Time Data, Data Pipelines, Dashboard, Data Synthesis, Interactive Data Visualization, Data Visualization Software, Data Analysis
Status: NewStatus: Free TrialSkills you'll gain: Rmarkdown, Web Scraping, Geospatial Information and Technology, Microsoft Azure, Cloud Storage, Geospatial Mapping, Interactive Data Visualization, R Programming, Data Collection, Data Manipulation, Data Science, Data Integration, Data Analysis, Application Programming Interface (API)
Skills you'll gain: Image Analysis, Cloud API, Google Cloud Platform, Applied Machine Learning, Computer Vision, Application Programming Interface (API), Machine Learning
Status: Free TrialSkills you'll gain: Test Case, Kubernetes, Scenario Testing, Simulations, Scripting, Command-Line Interface
Status: Free TrialSkills you'll gain: Terraform, Infrastructure as Code (IaC), Amazon Web Services, Cloud Infrastructure, Cloud Computing, Multi-Cloud, Microsoft Azure, Google Cloud Platform, Command-Line Interface, Version Control
Status: NewStatus: FreeAmazon Web Services
Skills you'll gain: Kubernetes, Amazon Web Services, Scalability, Containerization, Cloud Management, Cloud Computing Architecture, Cloud Deployment, Managed Services, Software Versioning
In summary, here are 10 of our most popular parallel computing courses
- Migrating to AWS Cloud: Edureka
- Intermediate Python – Libraries, Tools & Practical Projects: Packt
- Getting Started with Amazon Comprehend: Amazon Web Services
- Applications d'IA générative : changez votre façon de travailler: Google Cloud
- Learn Azure Serverless Functions in a Weekend: Packt
- Serverless Data Processing Dataflow em Português Brasileiro: Google Cloud
- Confluent: Clickstream Data Analysis Pipeline Using ksqlDB: Google Cloud
- Advanced Data Applications and Integration: Microsoft
- Detect Labels, Faces, and Landmarks in Images with the Cloud Vision API: Google Cloud
- Certified Kubernetes Application Developer (CKAD): Unit 7: Pearson
