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: AWS Kinesis, Amazon Web Services, Image Analysis, Applied Machine Learning, Live Streaming, Real Time Data, Computer Vision, Internet Of Things
Status: Free TrialSkills you'll gain: Java Platform Enterprise Edition (J2EE), Software Design Patterns, Java, Enterprise Architecture, Secure Coding, Application Servers, Software Design, Model View Controller, Software Architecture, Application Security, Maintainability, Programming Principles, Authorization (Computing), Authentications, Debugging, Scalability
Status: PreviewSimplilearn
Skills you'll gain: Cloud-Native Computing, Command-Line Interface
Skills you'll gain: Anomaly Detection, Model Evaluation, Image Analysis, Computer Vision, Google Cloud Platform, Predictive Modeling, Artificial Intelligence, Product Development
Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Big Data, Cloud API, Natural Language Processing, Model Deployment, Machine Learning, Data Preprocessing, Model Evaluation
Google Cloud
Skills you'll gain: Google Cloud Platform, Cloud Hosting, Public Cloud, Automation
Status: Free TrialSkills you'll gain: Generative AI Agents, Prompt Engineering, AI Enablement, Customer experience improvement, Technology Strategies, Large Language Modeling, Solution Design, Innovation, Google Cloud Platform, Business Transformation, Business Strategy
Status: NewStatus: PreviewSkills you'll gain: Generative AI, Model Deployment, Large Language Modeling, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Cloud Deployment, Performance Tuning, Hardware Architecture, Deep Learning, Embedded Systems, Computer Hardware, Scalability
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: FreeSkills you'll gain: Docker (Software), Kubernetes, Containerization, DevOps, Cloud-Native Computing, Application Deployment, CI/CD, Scalability, YAML
Status: PreviewSkills you'll gain: Version Control, GitHub, Jupyter, Git (Version Control System), Generative AI, Software Documentation, Automation
Status: NewStatus: Free TrialSkills you'll gain: vSphere DRS & HA, vSphere Networking and Storage, VMware ESX Servers, VMware vSAN, vCenter Server, Patch Management, Security Controls, iSCSI Configuration, Virtual Machines, Virtualization, Hybrid Cloud Computing, Kubernetes
In summary, here are 10 of our most popular parallel computing courses
- Amazon Kinesis Video Streams - Getting Started:Â Amazon Web Services
- Java EE Essentials: Best Practices for Enterprise Solutions:Â Board Infinity
- Kubernetes Training for Beginner:Â Simplilearn
- Create a Component Anomaly Detection Model using Visual Inspection AI:Â Google Cloud
- Présentation de l'IA et du machine learning sur Google Cloud: Google Cloud
- Cloud Scheduler: Qwik Start:Â Google Cloud
- Agents d'IA générative : transformer l'entreprise: Google Cloud
- Optimizing Generative AI on Arm Processors:Â Arm
- Terraform in AWS from Basics to Guru: Unit 3:Â Pearson
- Pod Management with Kubernetes: Run containerized workloads:Â Coursera
