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.

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

Skills you'll gain: Generative AI, Cloud Deployment, Artificial Intelligence, Data-Driven Decision-Making, Computer Programming
Beginner · Course · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing
Intermediate · Course · 1 - 3 Months

University of Illinois Urbana-Champaign
Skills you'll gain: Cloud Infrastructure, Network Architecture, Computer Networking, Cloud Computing Architecture, Software-Defined Networking, Cloud Computing, Network Routing, TCP/IP, Wide Area Networks, Data Centers, Network Performance Management, Network Switches, Virtual Machines, Scalability, Python Programming
Mixed · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Calculus, Applied Mathematics, Data Modeling, Estimation, Graphing, Mathematical Modeling, Numerical Analysis, Algebra, Mathematical Software, Engineering Calculations, Linear Algebra, Trigonometry, Operations Research, Data Analysis, Graphical Tools, Derivatives, Mathematical Theory & Analysis, Geometry
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Mainframe Computing, COBOL (Programming Language), Software Development Life Cycle, z/OS, Unit Testing, Systems Analysis, Job Control Language (JCL), IBM DB2, Systems Development, Debugging, Pseudocode, Virtualization, Agile Methodology, Software Development, Virtualization and Virtual Machines, Test Driven Development (TDD), Report Writing, Relational Databases, Software Testing, File I/O
Intermediate · Professional Certificate · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Rmarkdown, Data Visualization, Statistical Visualization, Ggplot2, Data Import/Export, Data Visualization Software, R Programming, Tidyverse (R Package), Statistical Reporting, Data Manipulation, Scatter Plots, Data Wrangling, Histogram
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Process Mapping, Business Process Modeling, Business Analysis, Cloud-Native Computing, Data Migration, Software Architecture, Stakeholder Analysis, Systems Design, Extract, Transform, Load, Systems Architecture, Communication Planning, Stakeholder Management, Data Integration, Network Security, Test Planning, Cybersecurity, Enterprise Architecture, Software Testing, Project Management, Information Technology
Beginner · Professional Certificate · 3 - 6 Months

University of Washington
Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Modeling, Feature Engineering, Machine Learning, Data Preprocessing, Python Programming, Algorithms
Mixed · Course · 1 - 3 Months

Edge Impulse
Skills you'll gain: Model Evaluation, Applied Machine Learning, Embedded Software, Data Preprocessing, Embedded Systems, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Model Deployment, Convolutional Neural Networks, Data Analysis, Feature Engineering, Computer Programming, Digital Signal Processing
Intermediate · Course · 1 - 4 Weeks

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: Microsoft Azure, Data Processing, Databases, Database Systems, Data Storage, Database Management, Relational Databases, Query Languages, NoSQL, Transaction Processing, Data Management, Cloud Computing, Data Analysis, Unstructured Data, Data Visualization Software
Beginner · Course · 1 - 4 Weeks