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XISS

Java Programming Course - Advanced Level

Enhance your Java proficiency by mastering advanced topics like multithreading, data structures, network programming, and design patterns, preparing you for professional Java development and real-world software engineering challenges.

4.7 Rating Advanced Course 12 Weeks

About this Course

This advanced course in Java dives into complex programming topics such as multithreading, collections framework, data structures, networking, and design patterns. Ideal for those with an intermediate knowledge of Java, this course combines theory with challenging projects, equipping you with the skills required for professional Java application development.

Course Objective

To prepare you for real-world software development by building expertise in advanced Java concepts and practices. Through intensive hands-on exercises and a final capstone project, you'll gain the ability to create scalable, efficient Java applications for diverse use cases.

Skills you'll gain

Advanced Data Structures and Algorithms Multithreading and Concurrency Management Network Programming and APIs Design Patterns and Best Practices Capstone Project Development

Syllabus

Topics Covered: Get started with Java fundamentals.
  • Introduction to Java, setup, and `Hello, World!` program
  • Basic syntax and structure
  • Data types, variables, and operators
  • Basic control structures (`if`, `else`)

Topics Covered: Dive deeper into control flow and loops.
  • `switch` statements
  • `for`, `while`, and `do-while` loops
  • Arrays: Basics and operations
  • Strings and common methods

Topics Covered: Introduction to methods and basic OOP concepts.
  • Methods: Defining, calling, and overloading
  • Object-Oriented Programming: Classes and objects
  • Constructors and the `this` keyword
  • Encapsulation with getters and setters

Final Project: Apply skills from Weeks 1-3 in a practical project.
  • Project Work (Days 1-3)
  • Project Refinement (Day 4)
  • Project Presentation and Wrap-Up (Day 5)

Topics Covered: Dive into inheritance and polymorphism.
  • Inheritance: Extending classes
  • Overriding methods
  • Polymorphism and dynamic method dispatch
  • Using `super` keyword and accessing superclass methods

Topics Covered: Learn about abstract classes and interfaces.
  • Abstract classes and abstract methods
  • Defining and implementing interfaces
  • Implementing multiple interfaces
  • Real-world use cases and examples

Topics Covered: Master error handling and file input/output.
  • Exception handling with `try`, `catch`, and `finally`
  • Custom exceptions
  • File handling: Reading from and writing to files
  • Working with `BufferedReader`, `FileWriter`, and `Scanner`

Final Project: Apply the skills learned in Weeks 5-7 in a comprehensive project.
  • Project Planning and Development (Days 1-3)
  • Project Refinement and Testing (Day 4)
  • Final Presentation and Wrap-Up (Day 5)

Topics Covered: Master advanced data structures for efficient programming.
  • Collections Framework: Lists, Sets, Maps
  • HashMap and TreeMap
  • Sorting and Searching algorithms
  • Working with Generics

Topics Covered: Learn to manage concurrency and parallel processing.
  • Introduction to Multithreading
  • Creating and managing threads
  • Synchronization and thread safety
  • Concurrency utilities (Executors, Future, Callable)

Topics Covered: Explore Java APIs and network programming for real-world applications.
  • Java I/O and NIO (Non-blocking I/O)
  • Serialization and Deserialization
  • Socket programming: TCP and UDP
  • REST API consumption

Final Project: Implement a comprehensive Java project using advanced concepts learned in the course.
  • Project Planning and Design (Days 1-2)
  • Project Implementation (Days 3-4)
  • Testing and Debugging (Day 5)
  • Final Presentation and Wrap-Up (Day 5)

About the Instructor

Varsha Sekar

Director & Instructor

4.95 Instructor rating

100 Students

Varsha Sekar serves as the Director and Lead Instructor at Savvy Axiss and is a Professor at Jeppiaar Engineering College. With a robust background in Machine Learning and Deep Learning, she has contributed extensively to the field through multiple research publications. An enthusiastic advocate for AI, Varsha is dedicated to fostering knowledge and inspiring the next generation of tech innovators and data scientists.

Fee ₹ 3999

2999

Duration

12 Weeks

Class Time

1.5 Hours

Enrolled

250 students

Language

English / Tamil

Skill Level

Advanced

Schedule

Monday to Friday

Certificate

Yes

SoftSkill Trainning

Free