What will you learn in this Parallel, Concurrent, and Distributed Programming in Java Specialization Course
Understand the fundamentals of parallel, concurrent, and distributed programming in Java.
Implement parallel algorithms using Java’s ForkJoin framework and Streams API.
Manage concurrency with threads, locks, and synchronization techniques.
Develop distributed applications using sockets and remote method invocation (RMI).
Apply theoretical concepts such as Amdahl’s Law, deadlocks, and data races to real-world scenarios.
Program Overview
1. Parallel Programming in Java
⏳ 19 hours
Learn to write parallel programs using Java 8 frameworks like ForkJoin and Streams. Topics include computation graphs, parallel speedup, and data races.
2. Concurrent Programming in Java
⏳ 18 hours
Explore concurrency constructs in Java, including threads, locks, atomic variables, and concurrent collections. Understand concepts like deadlocks and livelocks.
3. Distributed Programming in Java
⏳ 16 hours
Delve into distributed systems by implementing networked applications using sockets and RMI. Study topics like message passing and fault tolerance.
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Job Outlook
Equips learners for roles such as Software Engineer, Systems Programmer, and Backend Developer.
Applicable in industries like finance, healthcare, and cloud computing.
Enhances employability by teaching practical skills in multithreading and distributed systems.
Supports career advancement in high-performance and scalable application development.
Specification: Parallel, Concurrent, and Distributed Programming in Java Specialization
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