Modern software applications often require distributed computing to handle large-scale processing, optimize performance, and ensure fault tolerance. This course provides a comprehensive introduction to distributed programming in Java, covering key concepts such as multi-threading, parallel execution, and inter-process communication.
Participants will start with Java’s concurrency model, exploring threads, synchronization, and thread-safe data structures. The course then introduces parallel computing, teaching how to divide tasks across multiple processors for efficient execution. Learners will also gain practical experience working with Java’s networking APIs, Remote Method Invocation (RMI), and message-passing techniques to develop distributed applications.
By the end of this course, learners will have a strong foundation in concurrent and distributed programming, preparing them for advanced software development in cloud computing, enterprise systems, and high-performance applications.
Sections Included:
- Introduction to Distributed Computing – Understanding the fundamentals of distributed systems and parallel execution.
- Concurrency and Multi-Threading in Java – Working with Java Threads, synchronization, and thread pools.
- Parallel Computing and Task Execution – Implementing parallelism using Java’s Fork/Join framework and Streams API.
- Inter-Process Communication – Understanding sockets, message-passing, and shared resources.
- Remote Method Invocation (RMI) – Enabling communication between distributed Java applications.
- Networking and Distributed Systems – Using Java’s networking APIs for scalable application development.
- Building Scalable Distributed Applications – Applying distributed programming techniques to real-world projects.
Benefits Upon Completion:
- Gain proficiency in multi-threading, parallel execution, and distributed computing in Java.
- Learn to implement thread synchronization and concurrent data structures.
- Develop distributed applications using Java’s networking APIs and RMI.
- Understand inter-process communication for scalable and efficient application design.
- Build real-world projects that leverage parallel and distributed programming principles.
