Learn design patterns and principles for Object-oriented programming to make your software scalable and easy to maintain
What you will learn
What is a good software architecture?
Basic principles in Software Architecture in OOP
SOLID principles
What is low coupling and high cohesion?
How to group units into packages, modules, namespaces or components
Practical, proven techniques to becoming a great Software Architect
Software design patterns
Architectural Patterns used in almost any software system
Clean code design
Review examples of SOLID code in object-oriented programming
Real-life examples of good and bad architecture
Test-driven development (TDD) to drive software architecture
Behavior-driven development (BDD)
Acceptance test-driven development (ATTD)
Database Architecture
Secure and Robust Architecture
Web application design patterns
MVC Design Pattern
DAO Pattern
Layered Architecture Pattern
REST Architecture
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- Dive deep into the foundational pillars of robust software construction, transforming abstract concepts into tangible, maintainable code.
- Uncover the art of structuring complex systems, ensuring clarity and forward-thinking design from the initial blueprint.
- Master the strategic allocation of responsibilities within your object-oriented codebase for enhanced modularity and reduced interdependence.
- Explore the philosophy of crafting self-documenting code that is intuitive, readable, and a pleasure to work with.
- Gain insights into the psychology of team collaboration and how well-defined architecture fosters seamless development across diverse skill sets.
- Develop a keen eye for identifying and mitigating technical debt through proactive design choices and consistent adherence to best practices.
- Understand how to anticipate future requirements and scale your applications effortlessly without compromising core integrity.
- Learn to build software that is not only functional but also resilient and adaptable to evolving technological landscapes.
- Cultivate an understanding of design heuristics that guide optimal solutions for common programming challenges.
- Explore techniques for effectively isolating and testing individual components, ensuring a higher degree of code quality.
- Learn to architect systems with a focus on user experience and seamless integration into larger ecosystems.
- Develop the ability to critically evaluate existing architectures and propose data-driven improvements.
- Discover how to implement robust security measures directly within the software’s structural design.
- Gain practical strategies for organizing code logically to improve developer onboarding and reduce cognitive load.
- Understand the importance of design trade-offs and how to make informed decisions that balance short-term gains with long-term maintainability.
- PROS:
- Empowers developers to build software that lasts, reducing rework and increasing developer productivity.
- Provides a universal language for discussing software design, improving communication and collaboration.
- CONS:
- Requires a significant initial investment in learning and understanding, which may seem daunting to beginners.
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