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Advanced Java 8 Concurrent Patterns

Concurrency is a hard to master topic. This Java course takes you from the basics you already know, (runnable and synchronization) to the next level: the java.util.concurrent API.

This course, Advanced Java 8 Concurrent Patterns is an in-depth presentation of advanced fundamentals you'll need to understand to write efficient concurrent applications, that support heavy concurrency and provide high throughput. You'll learn about how you can improve the quality of your concurrent code, by using sophisticated concurrent tools that allow for smooth lock acquisition and fault tolerancy. You'll also be introduced to advanced data structures, such as the copy on write arrays, the concurrent blocking queues, the concurrent skip lists and concurrent hashmaps. By the end of this course, you will understand how to use cyclic barriers, count down latches and semaphores, and how to atomic variables to write non-locking code. All of this will help you on your journey to write better applications.

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What's inside

Syllabus

Course Overview

Introducing the Executor Pattern, Futures and Callables

Using Locks and Semaphores for the Producer / Consumer Pattern

Controlling Concurrent Applications Using Barriers and Latches

Understanding Casing and Atomic Variables

Leveraging Concurrent Collections to Simplify Application Design

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches advanced multithreading and concurrency skills using locks, semaphores, and atomic variables

Taught by Jose Paumard, an experienced practicing engineer in concurrent programming

Emphasizes practical application and hands-on learning with concrete examples and exercises

Covers both fundamental concepts and advanced techniques in Java concurrency

Examines advanced data structures such as copy on write arrays, concurrent blocking queues, skip lists, and hashmaps

Requires students to have a strong foundation in Java and basic concurrency concepts

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Advanced Java 8 Concurrent Patterns with these activities:

Learn the fundamentals of Java Programming

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Lay a strong foundation by reviewing the fundamentals of Java programming before starting the course.

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Write a blog post summarizing Java programming fundamentals

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Sharpen your understanding by explaining the key concepts of Java programming in your own words.

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Research and gather information about Java programming fundamentals.
Write a blog post outlining the key concepts.
Proofread and edit your blog post for clarity and accuracy.

Follow a Java tutorial series online

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Supplement your learning by following a structured tutorial series.

Browse courses on Java Programming

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Identify a reputable Java tutorial series.
Follow the tutorials in sequence.
Practice the concepts and exercises provided.

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Attend a Java Meetup or conference

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Connect with other Java developers and learn from their experiences.

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Find a Java Meetup or conference in your area.
Register and attend the event.
Engage in discussions and ask questions.

Solve Java programming exercises on LeetCode

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Strengthen your programming skills and prepare for real-world challenges.

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Participate in a Java programming workshop

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Gain hands-on experience and learn from experts in a workshop setting.

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Find a Java programming workshop that aligns with your learning goals.
Register and attend the workshop.
Actively participate in the exercises and discussions.

Build a Java application from scratch

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Apply your knowledge and skills by creating a real-world Java application.

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Ideate and design the application.
Implement the application using Java.
Test and debug the application.

Career center

Learners who complete Advanced Java 8 Concurrent Patterns will develop knowledge and skills that may be useful to these careers:

Concurrency Engineer

As a Concurrency Engineer, you will design, analyze, and optimize concurrent software systems to ensure high performance and scalability. This course will help you understand the fundamentals of advanced concurrency patterns and how they can be applied to build robust concurrent applications.

See salaries and explore the career path for Concurrency Engineer

Data Engineer

As a Data Engineer, you will develop Big Data systems that are scalable, performant, and fault-tolerant. This course will help you understand how to use concurrency patterns to design Big Data pipelines and systems.

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Performance Engineer

As a Performance Engineer, you will analyze and optimize the performance of software systems. This course may be useful if you want to learn about how concurrency patterns can be used to design and develop high-performance software systems.

See salaries and explore the career path for Performance Engineer

Software Architect

As a Software Architect, you will design and oversee the development of complex software systems. This course may be useful if you want to learn about how concurrency patterns can be used to design and develop highly scalable and reliable software systems.

See salaries and explore the career path for Software Architect

Systems Engineer

As a Systems Engineer, you will design, implement, and maintain complex systems. This course may help you understand how concurrency patterns can be used to design and develop highly scalable and reliable systems.

See salaries and explore the career path for Systems Engineer

Architect

As an Architect, you will oversee and lead the design of complex systems. This course may help you gain a thorough understanding of how to leverage concurrency patterns to enhance software application performance and scalability.

See salaries and explore the career path for Architect

Database Administrator

As a Database Administrator, you will design, implement, and maintain database systems. This course may be helpful if you want to understand how concurrency patterns can be used to design and develop scalable database systems that can handle high concurrency.

See salaries and explore the career path for Database Administrator

embedded systems developer

As an Embedded Systems Developer, you will design, develop, and maintain software for embedded systems. This course may be helpful if you want to learn about how concurrency patterns can be used to design and develop real-time embedded systems.

See salaries and explore the career path for embedded systems developer

Data Scientist

As a Data Scientist, you will analyze large datasets to extract insights and make predictions. This course may help you understand how concurrency patterns can be used to design and develop scalable data science pipelines that can handle large datasets.

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Machine Learning Engineer

As a Machine Learning Engineer, you will develop and deploy machine learning models. This course may help you understand how concurrency patterns can be used to design and develop scalable machine learning systems that can handle large datasets.

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Java Developer

As a Java Developer, you will focus on designing, developing, and maintaining Java applications. This course may help you gain the proficiency in using Java's advanced concurrency API. This will allow you to write sophisticated concurrent applications, including those that support heavy concurrency and provide high throughput.

See salaries and explore the career path for Java Developer

Software Developer

As a Software Developer, your job will be to write, deploy, test, and maintain complex software systems. This course will help you gain the fundamental understanding of concurrency concepts that are necessary for Software Development. By the end of this course, you may be able to write high-throughput and robust software applications.

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DevOps Engineer

As a DevOps Engineer, you will work on improving collaboration between software development and IT operations teams. This course may help you understand how concurrency patterns can be used to design and develop highly scalable and reliable software systems.

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Security Engineer

As a Security Engineer, you will design, implement, and maintain software systems that are secure. This course may be useful for understanding how concurrency patterns can be used to build secure systems that can withstand various attacks.

See salaries and explore the career path for Security Engineer

Web Developer

As a Web Developer, you will focus on the front-end and/or back-end development of websites. This course may help you understand the principles of concurrency and advanced data structures, which are very useful in designing and developing highly concurrent web applications.

See salaries and explore the career path for Web Developer

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Advanced Java 8 Concurrent Patterns.

Java Concurrency in Practice

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Comprehensive guide to Java concurrency, covering everything from the basics to advanced topics such as lock-free programming and non-blocking algorithms. It must-read for any developer who wants to write concurrent code.

Java Concurrency in Practice

Paperback

Java Concurrency in Practice

Kindle Edition

The Art of Concurrency

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More accessible introduction to concurrency than Java Concurrency in Practice, but it still covers a wide range of topics. It good choice for developers who are new to concurrency or who want to brush up on the basics.

The Art of Concurrency: A Thread Monkey's Guide to...

Paperback

The Art of Concurrency: A Thread Monkey's Guide to...

Kindle Edition

Java Performance: The Definitive Guide

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Comprehensive guide to Java performance. It covers a wide range of topics, including concurrency, and it valuable resource for any Java developer who wants to write high-performance code.

Java Performance: The Definitive Guide

Paperback

Check price

Java Performance: The Definitive Guide

Kindle Edition

Check price

C++ Concurrency in Action

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Comprehensive guide to concurrency in C++. It covers a wide range of topics, including the C++ concurrency API, and it good choice for developers who want to learn how to write concurrent code in C++.

C++ Concurrency in Action

Paperback

$$$

C++ Concurrency in Action: Practical Multithreading

Paperback

$$$

C++ Concurrency in Action

Kindle Edition

$$$

Mastering Concurrency in Python

Save

Comprehensive guide to concurrency in Python. It covers a wide range of topics, including the Python concurrency API, and it good choice for developers who want to learn how to write concurrent code in Python.

Mastering Concurrency in Python: Create faster...

Kindle Edition

Java Concurrency in Practice

Save

Comprehensive guide to concurrency in Scala. It covers a wide range of topics, including the Scala concurrency API, and it good choice for developers who want to learn how to write concurrent code in Scala.

Java Concurrency in Practice

Paperback

Java Concurrency in Practice

Kindle Edition

Hands-On Concurrency with Rust

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Comprehensive guide to concurrency in Rust. It covers a wide range of topics, including the Rust concurrency API, and it good choice for developers who want to learn how to write concurrent code in Rust.

Hands-On Concurrency with Rust: Confidently build...

Kindle Edition

Effective Java

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Classic guide to writing effective Java code. It covers a wide range of topics, including concurrency, and it valuable resource for any Java developer.

Optimizing Java

Save

Concise and practical guide to concurrency in Java. It covers a wide range of topics, including the Java concurrency API, and it good choice for developers who want to learn how to write concurrent code.

Optimizing Java: Practical Techniques for Improving...

Kindle Edition

The Joy of Clojure

Save

Concise and practical guide to concurrency in Clojure. It covers a wide range of topics, including the Clojure concurrency API, and it good choice for developers who want to learn how to write concurrent code in Clojure.

Parallel and Concurrent Programming in Haskell

Save

Concise and practical guide to concurrency in Haskell. It covers a wide range of topics, including the Haskell concurrency API, and it good choice for developers who want to learn how to write concurrent code in Haskell.

Parallel and Concurrent Programming in Haskell:...

Paperback

Parallel and Concurrent Programming in Haskell:...

Kindle Edition

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Time

208 hours

Level

Advanced

Via

Pluralsight

Instructor

Jose Paumard

Language

English

Good to know

Teaches advanced multithreading and concurrency skills using locks, semaphores, and atomic variables

Taught by Jose Paumard, an experienced practicing engineer in concurrent programming

Emphasizes practical application and hands-on learning with concrete examples and exercises

Covers both fundamental concepts and advanced techniques in Java concurrency

Examines advanced data structures such as copy on write arrays, concurrent blocking queues, skip lists, and hashmaps

Requires students to have a strong foundation in Java and basic concurrency concepts

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