Top Distributed Systems courses for mastering skills

Conjure up your first Python scalable background worker

Explaining the world means thinking with scientific principles — but usually they're cloaked in technical manipulations. In this course we'll dispense with number-crunching and mathematics in search of something more useful: physical insight. There are no prerequisites for this course — in it yo…

Monitor, troubleshoot complex distributed transactions and context propagation with performance & latency optimization

Learn the classic Akka actor model with Scala and write parallel, concurrent and fault-tolerant systems

Distributed algorithms are algorithms designed to run on multiple processors, without tight centralized control. In general, they are harder to design and harder to understand than single-processor sequential algorithms. Distributed algorithms are used in many practical systems, ranging from lar…

With this course, you will be introduced to the basics of fault tolerance. You will learn about the concepts of design and implementation of fault tolerance mechanisms in general systems are introduced. You’ll get to know the quantitative and qualitative methodology which is used in the evaluati…

Do you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming exp…

Learn Distributed Java Applications at Scale, Parallel Programming, Distributed Computing & Cloud Software Architecture

Unlocking the Power of Asynchronous Task Processing with Python Celery

Parallel, concurrent, and distributed programming underlies software in multiple domains, ranging from biomedical research to financial services. This specialization is intended for anyone with a basic knowledge of sequential programming in Java, who is motivated to learn how to write parallel,…