Distributed systems courses can help you learn about network protocols, data consistency models, fault tolerance, and scalability challenges. You can build skills in designing distributed algorithms, managing resource allocation, and ensuring data integrity across nodes. Many courses introduce tools like Apache Kafka, Kubernetes, and Docker, that support deploying and managing distributed applications.

MathWorks
Skills you'll gain: Model Based Systems Engineering, Systems Engineering, Systems Architecture, Functional Design, System Design and Implementation, Requirements Analysis, Requirements Elicitation, Verification And Validation
Beginner · Course · 1 - 4 Weeks

University of Illinois Urbana-Champaign
Skills you'll gain: Big Data, Apache Spark, Apache Hadoop, Apache Mahout, Distributed Computing, Data Storage, Data Processing, NoSQL, Apache Kafka, Cloud Computing, Real Time Data, Databases, Analytics, Deep Learning, Scalability, Machine Learning Algorithms, Graph Theory, Machine Learning
Mixed · Course · 1 - 3 Months

Skills you'll gain: PySpark, Apache Spark, Power BI, Data Visualization Software, Big Data, Distributed Computing, Databricks, Dashboard, SQL, Data Processing, Data Transformation, Scalability, Performance Tuning
Mixed · Course · 1 - 3 Months

Skills you'll gain: Infrastructure as Code (IaC), Istio, Terraform, Kubernetes, Cloud-Native Computing, Serverless Computing, Microservices, DevOps, Amazon Web Services, API Gateway, Scalability, CI/CD, Application Deployment, Cloud Deployment, Restful API, Containerization, Amazon DynamoDB, Prometheus (Software), Cloud Applications, Redis
Intermediate · Specialization · 3 - 6 Months
Skills you'll gain: Embedded Software, C (Programming Language), Embedded Systems, Debugging, Peripheral Devices, Integrated Development Environments, Computer Programming Tools, Development Environment, System Programming, Electronics, Software Development Tools, Hardware Architecture, Data Structures, Electronic Hardware, Microarchitecture, Programming Principles, Performance Tuning, Computer Architecture, Control Systems, Computer Programming
Intermediate · Specialization · 3 - 6 Months
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Model Evaluation, Regression Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Plot (Graphics), Interactive Data Visualization, Machine Learning, GitHub
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Responsive Web Design, Storyboarding, Wireframing, User Experience Design, UI/UX Research, User Experience, Usability Testing, Information Architecture, Presentations, Web Design, User Research, Design Thinking, Figma (Design Software), Design Reviews, Web Content Accessibility Guidelines, Mobile Development, User Story, Persona (User Experience), Interviewing Skills, Applicant Tracking Systems
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months
Johns Hopkins University
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, R (Software), Dimensionality Reduction, Data Visualization Software, Data Integration, Knitr, Data Sharing, GitHub, Machine Learning
Beginner · Specialization · 3 - 6 Months

Microsoft
Skills you'll gain: Responsible AI, Containerization, Scalability, AI Orchestration, Application Deployment, Kubernetes, Azure Active Directory, System Monitoring, AI Workflows, Agentic systems, Artificial Intelligence, Microsoft 365, Microservices, Generative AI Agents, Enterprise Architecture, Microsoft Azure, AI Security, Enterprise Security, Role-Based Access Control (RBAC), Coordination
Intermediate · Course · 1 - 4 Weeks

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

Skills you'll gain: Data Storytelling, Rmarkdown, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Data Validation, Ggplot2, R (Software), Tableau Software, Sampling (Statistics), Presentations, Spreadsheet Software, Data Analysis, LinkedIn, Object Oriented Programming (OOP), Data Structures, Interviewing Skills, Applicant Tracking Systems
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing
Beginner · Specialization · 1 - 3 Months