10
Lessons
30h
Duration
English
Language
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OBJECTIVEs:
- This advanced Java course aims to equip participants with comprehensive knowledge and skills in advanced Java programming concepts and techniques.
- Participants will deepen their understanding of Java programming paradigms, enhance their ability to develop robust and efficient applications, and prepare themselves for complex software development challenges.
- Gain expertise in advanced Java topics essential for building scalable and high- performance applications.
- Enhance problem-solving skills and ability to design complex software solutions.
- Increase employability with in-demand skills sought by top tech companies.
- This course is designed for Java developers looking to advance their skills beyond basic programming and explore the nuances of Java's advanced features.
- By the end of this course, participants will have a solid understanding of advanced Java concepts and be ready to tackle complex software development challenges with confidence.
Course features:
- Practical hands on
- Lab sessions
- Training by experienced faculty
PRE-REQUISITES:
- Proficiency in core Java programming, including object-oriented concepts, data structures, and algorithms.
- Familiarity with Java development tools and IDEs (e.g., IntelliJ IDEA, Eclipse).
- Understanding of software development lifecycle and best practices.
- Basic knowledge of databases and SQL.
Learning Path
- Overview of advanced Java features and enhancements.
- Java memory model and garbage collection.
- Understanding threads and synchronization.
- Java concurrency utilities (java.util.concurrent package).
- Generic classes, methods, and bounded type parameters.
- Wildcards and generic collections.
- Lists, Sets, Maps, and their implementations.
- Comparator and Comparable interfaces.
- File handling with java.io package.
- Non-blocking IO with java.nio package.
- Introduction to lambda expressions.
- Functional interfaces and java.util.function package.
- Custom exceptions and exception chaining.
- Best practices for exception handling.
- Built-in annotations (e.g., @Override, @Deprecated).
- Creating custom annotations.
- Accessing class information at runtime.
- Using reflection for dynamic code execution.
- Stream operations: map, filter, reduce.
- Parallel streams and performance considerations.