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Java: Multi-threading and Concurrency Simplified

Master multithreading! Learn to optimize single-threaded code for concurrency with practical tools & techniques. Boost performance & unlock parallel processing.

4.3(1,207)
26,843students
3h 47m
Certificate
Sagar Uppuluri
Sagar UppuluriSoftware Architect and a passionate trainer

Course Content

Java: Multi-threading and Concurrency Simplified is an all-levels Udemy course taught by Sagar Uppuluri. It runs 3h 47m, is taught in English, and includes a certificate of completion. Learners rate it 4.3 out of 5 from 1,207 reviews, with 26,843 students enrolled. It is a paid course, last updated March 2021.

Java Multithreading: Master Concurrent Programming

Unlock the power of Java multithreading! This course equips you with the essential skills to confidently tackle complex programming challenges requiring concurrent execution. Understanding multithreading in Java is a must-have for every Java developer.

While parallel processing offers significant advantages, it introduces challenges like shared mutability and the need to address concurrency problems. This course simplifies the process of building robust multi-threaded applications by focusing on core concepts.

Learn to shift your thinking from serial execution to parallel processing – a crucial mindset for effective multithreaded development. We provide clear, easy-to-understand examples to guide you through the complexities.

Course Highlights:

  • Understanding Threads: Delve into the fundamentals of Java threads, including thread priorities, thread states, and daemon threads.
  • Thread Synchronization: Master thread synchronization techniques using synchronized blocks and locks to prevent race conditions and ensure data integrity.
  • Java Concurrency Utilities: Explore the key components of the java.util.concurrent package, including ForkJoinPool and ForkJoinTask(s) for efficient parallel processing.
  • HTTP Simulation: A practical Mock HttpServer demonstrates how HTTP works and simulates typical web server responses to client requests.
  • ThreadLocal: Learn about ThreadLocal variables for managing thread-specific data.
  • Distributed Locks: An introduction to distributed locks for coordinating access to shared resources in distributed systems.
  • Messaging Queues: Gain an overview of building scalable applications using messaging queues.
  • Introduction to Lambdas and Streams: (Coming Soon) Explore the power of lambdas and streams for concise and efficient code.

This course provides the knowledge and practical skills you need to design and implement high-performance, scalable applications using Java multithreading.

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