Advanced Object-Oriented Programming (OOP) Training Course Outline

Introduction:

Object-Oriented Programming (OOP) has been the foundation of modern software development for decades, but with the rapidly evolving tech landscape, developers need to stay ahead by mastering advanced concepts and applying them to real-world scenarios. This 5-day intensive training course is designed for experienced developers who wish to deepen their understanding of advanced OOP principles and best practices. Participants will learn how to implement sophisticated design patterns, optimize code for scalability and performance, and tackle the complexities of large-scale software systems using OOP methodologies.

Course Objectives

By the end of this course, participants will be able to:

1. Master Advanced OOP Concepts: Gain a deep understanding of core OOP principles like inheritance, polymorphism, encapsulation, and abstraction, and learn how to apply them in complex scenarios.
2. Implement Design Patterns: Become proficient in recognizing and implementing common and advanced design patterns (e.g., Factory, Singleton, Observer, and Dependency Injection) to solve real-world software engineering challenges.
3. Improve Code Maintainability and Scalability: Understand the relationship between OOP and maintainability, and develop strategies to write clean, scalable, and modular code that can evolve with future demands.
4. Master SOLID Principles: Deep dive into the SOLID principles of object-oriented design (Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, and Dependency Inversion) and learn how to apply them to write robust and scalable software.
5. Leverage Modern OOP Techniques: Learn advanced techniques such as interfaces and abstract classes in combination with new language features (like lambda expressions, functional programming paradigms, and concurrency support) to build high-performance applications.
6. Implement Advanced Data Structures and Algorithms: Explore how OOP interacts with data structures (like trees, graphs, and linked lists) and algorithms for efficient data management and problem-solving.
7. Understand OOP in the Context of Multithreading and Concurrency: Learn how to design thread-safe and efficient multi-threaded OOP applications that perform well in today’s multi-core environments.

Who Should Attend?

This course is designed for:

• Experienced Software Developers who have a solid understanding of basic OOP concepts and are looking to elevate their skills to an advanced level.
• Technical Leads and Architects who are responsible for designing scalable, maintainable software systems and want to master advanced OOP patterns to make better architectural decisions.
• Software Engineers looking to refine their design skills and learn modern OOP techniques to tackle complex real-world problems.
• Developers transitioning to OOP-centric environments or those seeking to refresh their skills with the latest methodologies and techniques.
• System Designers and Problem Solvers who are interested in applying advanced OOP practices to improve the performance and scalability of their systems.

Day 1: Mastering Advanced OOP Fundamentals

Session 1: Advanced Principles of Object-Oriented Design

• Refresher on core OOP principles (Encapsulation, Inheritance, Polymorphism, Abstraction)
• Advanced inheritance models: Multiple Inheritance, Interface vs Abstract Class
• Real-world OOP design: When to use OOP and when to avoid it

Session 2: SOLID Principles Deep Dive

• Understanding the SOLID principles with real-world examples
  • Single Responsibility Principle (SRP)
  • Open/Closed Principle (OCP)
  • Liskov Substitution Principle (LSP)
  • Interface Segregation Principle (ISP)
  • Dependency Inversion Principle (DIP)
• Applying SOLID principles to refactor legacy code

Hands-On Exercises: Refactoring an existing codebase by applying SOLID principles.

Day 2: Design Patterns in Practice

Session 1: Introduction to Design Patterns

• Why design patterns matter: Code reuse, maintainability, scalability
• Overview of classic design patterns: Creational, Structural, Behavioral

Session 2: Advanced Creational Patterns

• Factory Method, Abstract Factory, Builder, Singleton
• Best practices for implementing creational patterns in modern OOP

Session 3: Behavioral and Structural Patterns

• Strategy, Observer, Command, Template Method, State, Chain of Responsibility
• Composite, Decorator, Proxy, Adapter, and Bridge patterns

Hands-On Exercises: Implementing the Observer pattern and Strategy pattern in a complex application.

Day 3: OOP and Performance Optimization

Session 1: Code Optimization and Maintainability

• Writing efficient object models that scale
• Profiling and debugging OOP code for performance bottlenecks
• Object pooling, lazy loading, and caching strategies in OOP

Session 2: Advanced Data Structures in OOP

• Implementing and optimizing data structures: Linked lists, Trees, Hashmaps, Graphs
• How to choose the right data structure for the job

Session 3: Memory Management and Garbage Collection

• Deep dive into memory management in OOP languages
• Understanding Garbage Collection and avoiding memory leaks in complex applications

Hands-On Exercises: Optimize a system for performance using memory-efficient data structures and caching.

Day 4: OOP in Concurrency and Multithreading

Session 1: Multithreading in Object-Oriented Programming

• OOP and thread safety: Designing thread-safe objects
• Thread synchronization techniques: Locks, Semaphores, Monitors
• Immutable objects and their role in concurrent programming

Session 2: Advanced Concurrency Patterns

• Using design patterns to handle concurrency: Producer-Consumer, Fork-Join, Future
• Managing resources and avoiding deadlocks in multithreaded environments

Session 3: Asynchronous Programming

• Introduction to async/await and promises in modern OOP languages
• Designing OOP systems with asynchronous patterns for scalability

Hands-On Exercises: Implementing a thread-safe system with concurrent tasks.

Day 5: Applying OOP to Real-World Systems

Session 1: OOP in Large-Scale Systems

• Applying advanced OOP in microservices, distributed systems, and cloud computing
• Designing robust APIs with OOP principles
• Managing versioning, backward compatibility, and extensibility

Session 2: OOP in Modern Frameworks and Languages

• Leveraging advanced OOP concepts in modern programming languages (e.g., Python, Java, C#, Kotlin, TypeScript)
• Integration of OOP with functional programming paradigms
• Working with modern frameworks (e.g., Spring, Django, Angular, React) using OOP principles

Session 3: Real-World Application and Architecture Design

• Final project: Participants design an object-oriented system for a complex business problem using advanced OOP patterns and principles.
• Code reviews, discussions, and feedback on design choices

Hands-On Exercises: Build a real-world OOP system and showcase how the concepts learned can be applied in practice.

Closing Remarks & Certification

• Final Q&A session
• Distribution of completion certificates
• Resources for continued learning in advanced OOP

Course Delivery Method:

• Format: Instructor-led live sessions with a combination of lectures, real-world case studies, hands-on labs, and group discussions.
• Materials: Slides, code samples, and a comprehensive course handbook.
• Prerequisites: Basic understanding of Object-Oriented Programming concepts and at least 1 year of software development experience in an object-oriented language (e.g., Java, C#, C++, Python).