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⏱ 3h📚 30 lessons
Java Concurrency and Parallel Programming: A Practical Introduction
Master the core concepts of thread safety, synchronization, and parallel execution to build robust and efficient multi-threaded applications in Java.
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About this course
Modern applications demand speed and responsiveness, often requiring developers to leverage multi-core processors. Writing reliable concurrent and parallel code in Java is a crucial skill for any serious developer.
This course provides a solid foundation in Java concurrency, enabling you to design and implement applications that utilize parallel processing effectively while avoiding complex issues like deadlocks, race conditions, and performance bottlenecks.
What you'll learn:
* Understand the Java memory model, thread lifecycle, and core differences between concurrency and parallelism
* Apply synchronization primitives, including locks, semaphores, and monitors, to ensure critical sections are thread-safe
* Implement efficient parallel task execution using the modern Executor framework and managed thread pools
* Master advanced components of the java.util.concurrent package for building high-throughput systems
* Design and practice debugging concurrent code to identify and eliminate common race conditions
* Configure basic patterns for distributed programming and remote communication between Java services
We begin with foundational concepts like threads and processes, then move into advanced topics like asynchronous programming patterns and best practices for creating high-throughput Java services. This course is designed for Java developers who are new to concurrent programming. No prior experience with multi-threading is required, just a basic understanding of core Java syntax.
Start building powerful, high-performance Java applications today.
What you'll get
📜Certificate of completion Add it to your LinkedIn profile
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⚡Short & focused 3h of practical content
Certificate of completion
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Java Concurrency and Parallel Programming: A Practical Introduction
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Java Concurrency and Parallel Programming: A Practical Introduction