Advanced Java Certification Training Course Syllabus

Overview: This project-driven course provides a comprehensive introduction to advanced Java concepts essential for enterprise development and big-data integration. Designed for beginners with foundational programming knowledge, the course spans approximately 8 hours of structured learning across 10 modules. Each module combines concise theory with hands-on coding exercises to reinforce skills in Java EE, concurrency, JDBC, and Hadoop. With lifetime access, learners can progress at their own pace, revisiting topics as needed to master core competencies.

Module 1: Java Basics & Environment Setup

Estimated time: 0.75 hours

• Install and configure JDK
• Set up IDE environment
• Understand basic Java syntax
• Explore primitive and reference data types

Module 2: Classes, Interfaces & Annotations

Estimated time: 0.75 hours

• Define class structure and access modifiers
• Implement interfaces
• Apply built-in annotations
• Use reference types effectively

Module 3: Polymorphism & Event Handling

Estimated time: 1 hour

• Implement method overloading and overriding
• Create and use inner classes
• Apply polymorphic behavior in code
• Handle GUI events using listeners

Module 4: Exceptions, Log4j & Regex

Estimated time: 0.75 hours

• Differentiate checked and unchecked exceptions
• Implement try–catch-finally blocks
• Configure logging using Log4j
• Validate input with regular expressions

Module 5: Collections & Generics

Estimated time: 0.5 hours

• Use List, Set, and Map interfaces
• Manipulate data using collections framework
• Define generic classes and methods
• Write reusable generic utility code

Module 6: File I/O & Concurrency

Estimated time: 0.5 hours

• Read and write files using streams
• Use NIO package for file operations
• Create and manage threads
• Apply synchronization in multithreaded applications

Module 7: JDBC & Database Connectivity

Estimated time: 1 hour

• Understand JDBC architecture
• Establish database connections
• Implement connection pooling
• Perform CRUD operations using SQL queries

Module 8: Network Programming

Estimated time: 0.75 hours

• Use Socket API for communication
• Build client-server models
• Handle URL and HTTP connections
• Develop a simple chat application

Module 9: Hadoop Ecosystem Introduction

Estimated time: 0.75 hours

• Explore HDFS fundamentals
• Understand MapReduce framework
• Learn about YARN and ecosystem components
• Run a basic MapReduce job on a local cluster

Module 10: Code Robustness & Optimization

Estimated time: 0.75 hours

• Apply refactoring best practices
• Perform performance tuning
• Manage memory efficiently
• Profile and optimize Java applications

Prerequisites

• Familiarity with basic programming concepts
• Understanding of object-oriented principles
• Basic knowledge of command-line tools

What You'll Be Able to Do After

• Develop enterprise applications using Java EE technologies
• Implement multithreaded and concurrent Java programs
• Connect Java applications to databases using JDBC
• Apply logging, exception handling, and input validation
• Integrate Java with Hadoop for big-data processing