Parallel programming courses can help you learn multithreading, synchronization, and performance optimization techniques. You can build skills in designing algorithms that efficiently utilize multiple processors and managing shared resources. Many courses introduce tools like OpenMP, MPI, and CUDA, that support implementing parallel computing solutions in various applications, from scientific simulations to data processing tasks.

UniversitĆ di Napoli Federico II
Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Artificial Neural Networks, Transfer Learning, Machine Learning, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Modeling
Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Data Structures, Programming Principles, Object Oriented Programming (OOP), Debugging, Software Development
Beginner Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Git (Version Control System), Version Control, DevOps, Software Development Life Cycle, Systems Development Life Cycle, Linux Administration, Software Development, Software Development Methodologies, File Management
Beginner Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Make.com, LinkedIn, Marketing Automation, Marketing, Social Media Content, Social Media Marketing, Application Programming Interface (API), Generative AI, Content Creation, Automation, Artificial Intelligence, Content Marketing, Workflow Management
Beginner Ā· Guided Project Ā· Less Than 2 Hours

Skills you'll gain: AI Workflows, Agentic Workflows, Generative AI Agents, AI Orchestration, Model Deployment, Robotic Process Automation, Automation, AI Enablement, No-Code Development, Prompt Engineering, LLM Application, MLOps (Machine Learning Operations), Process Optimization, System Monitoring, Tool Calling, Performance Analysis, Performance Management
Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Matplotlib, Data Visualization, Probability & Statistics, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Seaborn, Data Science, Programming Principles, Pandas (Python Package), Statistics, Descriptive Statistics, Data Analysis, NumPy, Probability Distribution, Exploratory Data Analysis, Python Programming
Beginner Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Data Processing, Data Pipelines, Data Infrastructure, Google Cloud Platform, Data Warehousing, MLOps (Machine Learning Operations), Data Visualization, Model Deployment, Data Quality, Cloud Engineering, Scalability, Data Storage, Cloud Security, Machine Learning, SQL
Advanced Ā· Course Ā· 1 - 3 Months

Skills you'll gain: Simulations, Visualization (Computer Graphics), Statistical Visualization, R (Software), R Programming, Statistical Modeling, Statistical Programming, Statistical Analysis, Process Analysis, Data Analysis, Test Case
Beginner Ā· Guided Project Ā· Less Than 2 Hours

Google Cloud
Skills you'll gain: Google App Engine, Authentications, Application Deployment, Identity and Access Management, Google Cloud Platform, Cloud Applications, Authorization (Computing), User Accounts, Cryptography, Python Programming
Beginner Ā· Project Ā· Less Than 2 Hours

LearnQuest
Skills you'll gain: Hypertext Markup Language (HTML), HTML and CSS, Web Design and Development, Front-End Web Development, Web Development, Web Applications
Beginner Ā· Course Ā· 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, Model Evaluation, Statistical Methods, Logistic Regression, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Classification Algorithms, Regression Analysis, Statistical Analysis, Applied Machine Learning, Data Science, Probability & Statistics, Dimensionality Reduction, Statistical Hypothesis Testing
Intermediate Ā· Course Ā· 1 - 4 Weeks

O.P. Jindal Global University
Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Feature Engineering, Autoencoders, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Marketing, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Model Evaluation, Algorithms
Beginner Ā· Course Ā· 1 - 3 Months