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.

Google Cloud
Skills you'll gain: Google Gemini, Storytelling, Video Production, Gemini, Google Docs, Google Workspace, Video Editing, Responsible AI, Proofreading, Prompt Engineering, Productivity Software, Gmail, Workflow Management, LLM Application, AI Enablement, Generative AI, Writing, Collaboration, Project Management, Business Communication
Beginner · Specialization · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, Probability Distribution, R Programming, Biostatistics, Data Science, Statistics, Mathematical Modeling, Data Analysis, Data Modeling, Applied Mathematics
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Cloud Deployment, Application Deployment, OpenShift, Cloud Applications, Serverless Computing, Microservices, Istio, API Gateway, Restful API, Cloud Computing, IBM Cloud, Kubernetes, Application Development, Software Architecture, Scalability, Flask (Web Framework)
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Based Systems Engineering, Unified Modeling Language, Systems Engineering, Systems Design, Software Systems, Systems Architecture, Systems Analysis, Product Lifecycle Management, System Requirements, Requirements Analysis, Verification And Validation, Cloud Computing
Beginner · Course · 1 - 3 Months
Google Cloud
Skills you'll gain: Google Sheets, Google Workspace, Spreadsheet Software, Excel Formulas, Data Visualization, Version Control, Collaborative Software, Data Management, Data Analysis Software, Data Sharing, Data Import/Export
Beginner · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Statistics, Public Health, Statistical Inference, Descriptive Statistics, Probability Distribution, Data Import/Export
Beginner · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: Multimedia, Microsoft PowerPoint, Presentations, Microsoft Office, Collaborative Software, Productivity Software, Microsoft Windows, Editing, File Management
Beginner · Course · 1 - 3 Months

Skills you'll gain: Microsoft Power Platform, Microsoft Power Automate/Flow, Power BI, Dashboard, No-Code Development, Data Visualization, Power Apps Component Framework, Business Intelligence, Business Process Automation, Application Development, Data Integration, Performance Analysis, Application Design, Automation, Data Security, Business Process, Computing Platforms, Microsoft Teams, Data Analysis Software, Data Modeling
Beginner · Specialization · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Market Opportunities, AI Enablement, AI Product Strategy, Responsible AI, Artificial Intelligence, Data Ethics, Applied Machine Learning, Artificial Neural Networks, Data Science, Deep Learning, Machine Learning
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Statistical Inference, Statistical Analysis, Regression Analysis, Data Analysis, R Programming, Probability, Data-Driven Decision-Making, Model Evaluation, Probability Distribution
Intermediate · Course · 1 - 3 Months
DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture
Intermediate · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Rmarkdown, Shiny (R Package), Ggplot2, Tidyverse (R Package), Data Visualization, Spatial Data Analysis, Statistical Visualization, Scatter Plots, Plot (Graphics), Dashboard, Data Import/Export, Interactive Data Visualization, R Programming, Data Visualization Software, Geospatial Information and Technology, Data Literacy, Statistical Reporting, Storyboarding, Data Science, Data Analysis
Beginner · Specialization · 3 - 6 Months