Unable to find what you're searching for?
We're here to help you find itThe Design Patterns using .NET course is a comprehensive program that equips learners with the knowledge of Object-oriented design principles and patterns, essential for creating robust and scalable .NET applications. It covers a wide array of design patterns categorized under creational, structural, and behavioral types, ensuring a solid foundation in software design for participants.
Throughout the course, learners will delve into core OOP concepts such as Composition, Aggregation, Inheritance, and Encapsulation. They will understand the importance of Interface-vs-Implementation and grasp the concept of Dependency Inversion. Each module provides practical implementations of design patterns, such as Factory, Abstract Factory, Builder, Prototype, Singleton, Adapter, Composite, Decorator, Facade, Flyweight, Proxy, and many others, along with their respective advantages and use cases.
By mastering these patterns, developers will be able to write code that is more maintainable, scalable, and testable. The course includes multiple demonstrations, offering hands-on experience in implementing these patterns, thereby preparing learners to tackle real-world software development challenges with confidence.
Successfully delivered 1 sessions for over 10 professionals
Purchase This Course
♱ Excluding VAT/GST
Classroom Training price is on request
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
Classroom Training price is on request
You can request classroom training in any city on any date by Requesting More Information
To ensure that participants can successfully undertake training in the Design Patterns using .NET course, the following minimum prerequisites are recommended:
Basic Knowledge of Programming: Understanding of fundamental programming concepts such as variables, loops, and conditionals.
Familiarity with Object-Oriented Programming (OOP): Knowledge of OOP principles such as classes, objects, inheritance, encapsulation, polymorphism, and abstraction.
Experience with .NET Framework: Hands-on experience with the .NET framework and proficiency in a .NET programming language (e.g., C#).
Understanding of Software Development: Awareness of the software development lifecycle and experience with writing and debugging code.
Problem-Solving Skills: Ability to think logically and solve programming-related problems.
Willingness to Learn: A commitment to understanding complex concepts and applying design patterns to real-world scenarios.
These prerequisites are designed to ensure participants have a solid foundation upon which to build their understanding of design patterns using .NET. However, a strong determination to learn and improve can compensate for gaps in experience, as the course is structured to guide learners through each concept progressively.
Learn the .NET Design Patterns for robust application architecture; ideal for developers seeking advanced programming skills.
This .NET Design Patterns course equips learners with a deep understanding of object-oriented design principles and the ability to implement various design patterns to solve common software architecture problems effectively.
Dependency Inversion is a principle in software engineering aimed at reducing the dependencies among the components of an application. It suggests that high-level modules, which provide complex logic, should not depend on low-level modules, which provide utility features. Instead, both should depend on abstractions, such as interfaces or abstract classes. This way, changes to one module don't significantly affect others. By inverting the direction of dependency, software becomes more modular, easier to test and maintain. This is especially useful in frameworks like .NET Core, where implementing design patterns effectively can greatly enhance application scalability and maintainability.
In programming, the "interface" refers to a defined set of methods and properties that a class agrees to implement, without specifying how these methods and properties actually function. This acts as a contract, specifying what a class can do without detailing the specifics of how it does it. Conversely, "implementation" deals with the actual code that fulfills the requirements set out by the interface. This code defines how the methods and properties work in detail. Interfaces help in designing clean and maintainable code, crucial in frameworks such as .NET Core and for leveraging design patterns effectively.
Inheritance in programming allows classes to derive properties and behaviors from other classes, creating a hierarchy. This makes maintaining and upgrading software easier, as common elements can be shared and modified from one central class. DotNet Core, for instance, utilizes design patterns with inheritance to ensure code is modular, reusable, and adaptable, enhancing application scalability and performance.
Encapsulation in programming is the practice of bundling the data (variables) and methods (functions) that operate on the data into a single unit or class. It restricts direct access to some of an object’s components, which can prevent accidental modification of data. An encapsulated object is like a protective wrapper that prevents the code outside of that wrapper from directly accessing the data inside it. Instead, the object exposes only what is necessary via public methods, often called getters and setters, providing a controlled interface to manipulate the data within the object.
Object-oriented design principles guide the organization of software systems, emphasizing components called "objects" that contain both data and functions. These principles include encapsulation, protecting object data; inheritance, extending existing object functionalities; and polymorphism, handling objects differently based on their data or class. These help in creating flexible, modular, and reusable software. By abiding by these principles, systems can be more manageable and scalable, which align closely with efficient designs like those in DotNet Core design patterns, enhancing software development and maintenance.
Composition in programming refers to the technique of creating complex types or objects by combining simpler, more manageable objects or data types. Rather than inheriting from a base or parent class, objects gain functionality by being composed of other objects that implement the desired functionalities. This approach aligns with the composition-over-inheritance principle, promoting greater flexibility and ease of modification. Composition facilitates better code maintenance and a more decoupled architecture, where components are independent and changes in one do not directly affect others, thereby enhancing modularity and reducing dependencies among components.
Aggregation in programming is a concept where a class is formed as a collection or a container of other objects. This approach is used to maintain a 'has a' relationship between objects, where one object (the aggregate) contains one or more other objects (components). Unlike composition, these component objects can exist independently without the aggregate. This technique helps in creating a more organized and modular code structure, simplifying the management and operation of complex systems. It is frequently used in various design patterns, enhancing code maintainability and scalability.
Learn the .NET Design Patterns for robust application architecture; ideal for developers seeking advanced programming skills.
This .NET Design Patterns course equips learners with a deep understanding of object-oriented design principles and the ability to implement various design patterns to solve common software architecture problems effectively.
