Overview

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Gain a comprehensive understanding of concurrency and parallelism in Java, tailored for cloud-native environments. Explore essential concepts, Java concurrency foundations, and practical utilities to build robust, scalable applications. This course introduces the core principles of concurrency and parallelism, focusing on their significance in modern cloud-native Java development. Learners will explore the differences between threads and processes, master Java's concurrency utilities, and understand best practices for robust cloud applications. By the end of the course, participants will be equipped to design and implement concurrent Java solutions that are resilient and efficient in distributed cloud environments. Through a blend of conceptual explanations, real-world examples, and practical code demonstrations, this course bridges theory with application. Learners will progress from foundational concepts to hands-on implementation strategies, ensuring a deep and actionable understanding of Java concurrency in the cloud. This course is part one of a three-course Specialization designed to build a complete and cohesive understanding of the subject. While it offers valuable skills on its own, you'll gain the most benefit by progressing through all three courses as a structured learning journey. This course is based on Java Concurrency and Parallelism, by Jay Wang.

Syllabus

Concurrency, Parallelism, and the Cloud: Navigating the Cloud-Native Landscape
- This module explores Java's concurrency and parallelism techniques for building scalable cloud-native applications. Learners will gain insights into managing multiple tasks, optimizing performance in distributed systems, and choosing the right approach for different computing scenarios.
Introduction to Java's Concurrency Foundations: Threads, Processes, and Beyond
- This module delves into Java's concurrency model, covering threads, processes, and the use of java.util.concurrent tools. Learners will gain practical insights into building and managing multi-threaded applications, as well as understanding and preventing common issues like deadlocks.
Mastering Parallelism in Java
- This module explores the fundamentals of parallelism in Java, including the use of the Fork/Join framework, thread management, and parallel streams. Learners will gain insights into optimizing performance, managing dependencies, and handling data in parallel computing environments. It also covers best practices and challenges associated with parallel execution.
Java Concurrency Utilities and Testing in the Cloud Era
- This module covers advanced Java concurrency utilities and testing strategies tailored for cloud environments. Learners will gain insights into thread management, synchronization techniques, and resource optimization using tools like the Executor framework and Semaphore. It emphasizes practical application in dynamic cloud infrastructures such as AWS.