Distributed computing courses can help you learn parallel processing, cloud architecture, data distribution techniques, and fault tolerance. You can build skills in optimizing resource allocation, ensuring data consistency, and managing large-scale applications. Many courses introduce tools like Apache Hadoop, Spark, and Kubernetes, that support implementing distributed systems and managing workloads effectively.

Skills you'll gain: Docker (Software), Containerization, Kubernetes, Development Environment, Spring Boot, CI/CD, DevOps, Microservices, Debugging, MongoDB, Restful API
Beginner · Course · 1 - 3 Months

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Computer Architecture, Hardware Architecture, Hardware Design, Computer Systems, Computer Engineering, System Programming, Data Pipelines, File Systems, Hazard Analysis, Cloud Platforms
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: Scalability, Performance Analysis, Simulations, Algorithms, Complex Problem Solving, Theoretical Computer Science, Python Programming, Data Structures, Software Architecture, Software Engineering
Beginner · Guided Project · Less Than 2 Hours

Northeastern University
Skills you'll gain: Data Governance, Extract, Transform, Load, Data Warehousing, Data Integration, DevOps, Data Pipelines, CI/CD, Data Architecture, Infrastructure as Code (IaC), Data Quality, Amazon Redshift, Cloud Computing, Database Architecture and Administration, Cloud Computing Architecture, Analytics, Data Transformation, Amazon S3, Scalability
Mixed · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Data Import/Export, Extract, Transform, Load, Google Cloud Platform, Data Warehousing, Big Data, Database Design, Data Analysis
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Redis, Microservices, Restful API, .NET Framework, Application Programming Interface (API), Object-Relational Mapping, API Design, PostgreSQL, Scalability, Maintainability, Database Design, Software Architecture, Software Design Patterns, Data Validation
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Tensorflow, Applied Machine Learning, Data Validation, Machine Learning, Systems Design, Systems Architecture, Model Evaluation, Distributed Computing, Performance Tuning, Data Pipelines, Scalability, Debugging
Advanced · Course · 1 - 3 Months

Skills you'll gain: Serverless Computing, Amazon Web Services, AWS CloudFormation, YAML, Cloud Development, Development Environment, Amazon CloudWatch, Restful API, API Gateway, Amazon S3, Amazon DynamoDB, Node.JS, Software Development, Software Development Tools, Application Deployment, Microsoft Visual Studio, Debugging
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Kubernetes, Cloud-Native Computing, Google Cloud Platform, Scalability, Application Deployment, Load Balancing, Data Persistence, Containerization, YAML, Data Storage, General Networking, Authentications, Configuration Management
Intermediate · Course · 1 - 3 Months

Skills you'll gain: IntelliJ IDEA, Debugging, Software Design, User Interface (UI), Apache Maven, Object Oriented Programming (OOP), Program Development, Application Design, Integrated Development Environments, Build Tools, Software Development Tools, User Interface (UI) Design, Eclipse (Software), Data Validation, Version Control, JUnit, Software Development, Git (Version Control System), Data Import/Export, Java
Intermediate · Specialization · 1 - 3 Months
Duke University
Skills you'll gain: Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Model Evaluation, Predictive Modeling, Regression Analysis, R Programming, Statistics, Data Analysis, Probability & Statistics, Statistical Inference
Beginner · Course · 1 - 4 Weeks