Object-oriented programming with Java
Introduction to and In-Depth Study of OOP and Design Patterns
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Machine Learning Engineer
Day 1: An In-Depth Look at Class Design
Learn how professional classes are structured—with high cohesion, overloaded constructors, copy constructors, and immutable objects. You’ll master object methods (toString, equals, hashCode) and work with enums, the singleton pattern, and Comparable and Comparator.
Day 2: Inheritance, Polymorphism, and Interfaces
Delve deeper into inheritance with constructor chains, dynamic binding, and the Liskov Principle. You'll also learn when composition is preferable to inheritance, work with interfaces (default methods, static, private), and explore Java features such as records, sealed classes, and pattern matching.
Day 3: Generics, SOLID, and Design Patterns
You’ll master generics using bounds, wildcards, and the PECS principle. You’ll explore all five SOLID principles and apply the Factory, Strategy, and Observer design patterns in practical scenarios. Robert C. Martin’s Clean Code principles serve as the guiding thread for identifying code smells and refactoring.
In addition, you'll use AI tools for AI-assisted code review—to analyze class hierarchies, identify SOLID violations, and generate refactoring suggestions.
Requirements:
A basic knowledge of Java, equivalent to the "Java Foundation" course or comparable knowledge, is required: variables, data types, control structures (if/else, loops), methods, simple classes, and objects.
All participants need access to an AI text bot (e.g., ChatGPT, Claude, Copilot, or Perplexity).
Additional info:
Please create a free AI account (e.g., ChatGPT, Claude, Copilot, or Perplexity) before the course begins.
- Designing Professional, Maintainable Class Hierarchies Based on OOP Principles
- Correct Implementation of Object Methods (toString, equals, hashCode)
- Targeted Use of Interfaces, Records, and Sealed Classes
- Writing Generic Classes and Methods with Bounds and Wildcards
- Applying the Five SOLID Principles and Identifying Code Smells
- Practical Implementation of Design Patterns (Factory, Strategy, Observer)
- Using AI Tools for Code Review, Refactoring, and Pattern Recognition
The course combines theory and practice in a proven formula:
- Short theoretical presentations, live coding, and demos by the trainer
- Numerous hands-on exercises with increasing levels of difficulty
- AI-powered code review exercises: Participants have their code analyzed by AI and critically evaluate the suggestions
- Chapter Exercises as Practical Mini-Projects
- Interactive training with time for questions and discussion
Javadevelopers s with basic knowledge who want to learn professional software design.
This course is particularly suitable for:
- developers, who want to switch from procedural to object-oriented thinking
- IT professionals who want to build maintainable and scalable Java architectures or deepen their understanding of OOP design
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