Overview
Parallel, concurrent, and distributed programming underlies software in multiple domains, ranging from biomedical research to financial services.
Through a collection of three courses (which may be taken in any order or separately), you will learn foundational topics in Parallelism, Concurrency, and Distribution.
These courses of the Parallel, Concurrent, and Distributed Programming in Java specialization offered by Coursera in partnership with Rice University will prepare you for multithreaded and distributed programming for a wide range of computer platforms, from mobile devices to cloud computing servers.
To see an overview video for this Specialization, click here! For an interview with two early-career software engineers on the relevance of parallel computing to their jobs, click here.
Key Facts
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from Rice University
Programme Structure
Courses include:
- Theory of Parallelism
- Task Parallelism using Java ForkJoin
- Functional Parallelism with Streams and Futures
- Concurrency Constructs in Java
- Distributed Programming Frameworks in Java
- Client‑Server and Message‑Passing Programming
Key information
Duration
- Part-time
- 1 months
- 10 hrs/week
Start dates & application deadlines
Language
Delivered
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Software Engineering View 339 other Short Courses in Software Engineering in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Intermediate Level
- Some related experience required.
- This course is aimed at computer science students and industry professionals with a background in Java who want to develop skills in parallel, concurrent, and distributed programming to build efficient, scalable, and high‑performance applications on multicore and distributed systems.
Tuition Fees
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
- This short course is included with Coursera Plus subscription
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.