Advanced Java Course

Target Audience: Developers with a solid understanding of core Java concepts.

Course Objectives:

• Master advanced Java features and techniques for building robust and efficient applications.

• Gain in-depth knowledge of collections framework, generics, and database connectivity.

• Explore advanced threading concepts for concurrent programming.

• Understand functional programming principles and reactive programming with RxJava.

• Learn performance optimization strategies and best practices for efficient Java code.

• Implement effective testing methodologies (TDD) and integrate testing into CI/CD pipelines.

Course Length: 2 Days

Module 1: Advanced Language Features and Techniques

• Generics and Collections:

  • Why Use Generics?: Understanding the benefits of type safety and code reusability.

  • Generic Classes & Interfaces: Creating classes and interfaces that work with various data types.

  • Generic Methods: Defining methods that operate on generic types.

  • Generic Bounds: Constraining the types that can be used with generics.

  • Collection API Deep Dive: Advanced exploration of collections, iterators, and inheritance within the Collections framework.

  • Abstract vs. Concrete Classes: Understanding the distinction and their use cases.

  • Wildcard Parameters: Leveraging wildcards for flexibility in generic collections.

  • Serialization with Generics: Serializing and deserializing generic objects.

• Database Connectivity:

  • JDBC Architecture: Understanding the Java Database Connectivity framework.

  • JDBC Drivers: Working with different JDBC drivers for various databases.

  • Connecting to Databases: Establishing connections and managing database interactions.

  • Database Queries and ResultSets: Executing queries and processing results effectively.

  • Prepared & Callable Statements: Utilizing prepared statements for parameterized queries and stored procedures.

  • JDBC Metadata: Extracting information about databases and their schemas.

Module 2: Advanced Topics and Best Practices

• Advanced Programming Concepts:

  • Java Native Interface (JNI): Interfacing with native code libraries written in C/C++.

  • Native Methods: Creating Java methods that call native code functions.

  • Mapping Types & Accessing Data: Understanding data type conversion and accessing fields and methods from native code.

  • Exception Handling in JNI: Handling exceptions thrown by native code.

  • Threading Fundamentals: Components of threads, scheduling, and thread lifecycles.

  • Synchronization Mechanisms: Ensuring thread safety with mutually exclusive access (monitors, locks).

  • Synchronized Methods & Blocks: Synchronizing access to shared resources.

  • Deadlock Scenarios: Identifying and avoiding deadlock situations.

  • Designing with Threads: Best practices for building thread-safe applications.

• Functional Programming and Reactive Programming:

  • Lambda Expressions: Leveraging lambda expressions for concise and functional code.

  • Functional Programming Paradigms: Understanding core concepts like immutability and higher-order functions.

  • Introduction to RxJava: Exploring the RxJava library for reactive programming.

  • Reactive Programming Principles: Understanding asynchronous, event-driven programming with streams of data.

  • Building Asynchronous Processing: Implementing asynchronous operations using RxJava observables and operators.

Optional Modules (Can be covered in separate sessions if time permits):

• Module 3: Performance Tuning:

  • Performance Optimization Strategies: Techniques for optimizing code execution speed and resource usage.

  • Compile-Time and Runtime Optimizations: Understanding compiler optimizations and runtime performance considerations.

  • Memory Management: Best practices for efficient memory allocation and garbage collection.

  • Iteration and Collection Processing: Optimizing loops and working with collections efficiently.

  • Singleton Design Pattern: Understanding the singleton pattern and its usage for performance benefits.

  • Lazy Evaluation: When and how to use lazy evaluation techniques.

  • Stream Processing: Efficient processing of data streams using Java Streams API.

• Module 4: Testing Methodologies:

  • Test-Driven Development (TDD) Introduction: Understanding the TDD approach for writing tests first.

  • Unit Testing Examples: Demonstrating unit testing practices with JUnit or other testing frameworks.

  • System and Functional Testing: Understanding different testing levels beyond unit testing.

  • Test Automation and CI/CD Integration: Automating tests and integrating them into continuous integration and delivery pipelines.