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Concurrency, Multithreading and Parallel Computing in Java

Multithreading and Concurrent Programming, Parallel Computation and MapReduce in Java + Fork-Join and Stream API
(2,549 reviews)
18,381 students
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Platform: Udemy
Video: 8h 51m
Language: English
Next start: On Demand

Table of contents


This course is about the basics of multithreading and concurrent programming with some parallel concepts. In the 21st century this topic is becoming more and more popular with the advent of Big Data and Machine Learning. We will consider the low level concepts such as threads, synchronization and locks. The second chapter will be about concurrent library: of course there are built in classes and interfaces that we can use when implementing multithreaded applications. Then we develope little programs as show-cases for multithreading: the dining-philosopher problem or the students in library simulation. Last chapter is about parallel computing and MapReduce. 
Section 1 – Multithreading Theory:
•theory behind multithreading
•pros and cons of multithreading
•life cycle of a thead
Section 2 – Threads Manipulation:
•starting threads (Runnable interface and Thread class)
•join keyword
•daemon threads
Section 3 – Inter-Thread Communication:
•memory management of threads
•synchronization and synchronized blocks
•wait and notify
•producer-consumer problem and solution
•concurrent collections
•latch, cyclic barrier and blocking queues
•delay queue, priority queue and concurrent maps
Section 4 – Multithreading Concepts:
•volatile keywords
•deadlocks and livelocks
•semaphores and mutexes
•dining philosophers problem
•library application
Section 6 – Executors and ExecutorServices:
•executor services
Section 6 – Concurrent Collections:
•synchronization with Collections
•cyclic barriers
•delay and priority queues
•concurrent HashMaps
Section 7 –  Simulations:
•dining philosophers problem
•library problem
Section 8 – Parallel Algorithms:
•what is parallel computing
•parallel merge sort
•parallel algorithms
Section 9 – Fork-Join Framework
•Fork-Join framework
•maximum finding in parallel manner
Section 10 – Stream API
•the Stream API explained with examples
•sequential streams and parallel streams
Section 11 – BigData and MapReduce:
•what is MapReduce
•MapReduce and Fork-Join framework
Thanks for joining my course, let’s get started!

You will learn

✓ Understand basic concurrency
✓ Understand the basics of multithreading
✓ Understand parallel processing
✓ Able to use the concepts in real life scenarios
✓ Understand concurrent collections
✓ Understand synchronization and locking


• Basic Java (inheritance, object oriented programming)

This course is for

• This course is meant for students who want to get a good grasp on multithreading in java or just want a quick refresher

How much does the Concurrency, Multithreading and Parallel Computing in Java course cost? Is it worth it?

The course costs $17.99. And currently there is a 82% discount on the original price of the course, which was $99.99. So you save $82 if you enroll the course now.
The average price is $17.3 of 16 Multithreading courses. So this course is 4% more expensive than the average Multithreading course on Udemy.

Does the Concurrency, Multithreading and Parallel Computing in Java course have a money back guarantee or refund policy?

YES, Concurrency, Multithreading and Parallel Computing in Java has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Concurrency, Multithreading and Parallel Computing in Java course, but there is a $82 discount from the original price ($99.99). So the current price is just $17.99.

Who is the instructor? Is Holczer Balazs a SCAM or a TRUSTED instructor?

Holczer Balazs has created 33 courses that got 29,886 reviews which are generally positive. Holczer Balazs has taught 234,749 students and received a 4.5 average review out of 29,886 reviews. Depending on the information available, Holczer Balazs is a TRUSTED instructor.
Software Engineer
My name is Balazs Holczer. I am from Budapest, Hungary. I am qualified as a physicist. At the moment I am working as a simulation engineer at a multinational company. I have been interested in algorithms and data structures and its implementations especially in Java since university. Later on I got acquainted with machine learning techniques, artificial intelligence, numerical methods and recipes such as solving differential equations, linear algebra, interpolation and extrapolation. These things may prove to be very very important in several fields: software engineering, research and development or investment banking. I have a special addiction to quantitative models such as the Black-Scholes model, or the Merton-model.
Take a look at my website if you are interested in these topics!
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Platform: Udemy
Video: 8h 51m
Language: English
Next start: On Demand

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