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Advance System Design Course Overview

Advance System Design Course Overview

Discover how to master system design with our 3-day Advanced System Design course at Koenig Solutions. This comprehensive training covers crucial aspects from OOPS fundamentals to Design Patterns, including Creational, Structural, and Behavioral Patterns. You’ll dive deep into practical implementations of the Singleton, Factory, Adapter, and more, understanding their roles in efficient software architecture.

Gain insights on enhancing System performance with topics on Latency, Throughput, Caching, and Data Partitioning. By the end of the course, you'll not only grasp the theory but also how to apply these patterns to solve real-world problems, making you a proficient system designer. Join us to boost your technical skills in a focused learning environment.
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Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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Target Audience for Advance System Design

The Advanced System Design course is ideal for professionals looking to deepen their understanding of software design patterns and system architecture improvements.


  • Software Developers
  • Software Architects
  • System Design Engineers
  • Technical Leads
  • Development Managers
  • IT Consultants


Learning Objectives - What you will Learn in this Advance System Design?

Introduction to the Course’s Learning Outcomes: The Advanced System Design course offers a deep dive into software design patterns and critical performance concepts, focusing on enhancing design efficiency and system scalability.

Learning Objectives and Outcomes:

  • Understand and apply various Creational Patterns including Singleton, Factory, Builder, and Prototype to effectively manage object creation.
  • Employ Structural Patterns like Adapter, Facade, and Proxy to improve code maintainability and flexibility.
  • Master Behavioral Patterns such as Observer, Strategy, and Command to enhance communication between objects and improve decision-making processes.
  • Analyze and implement the Singleton Pattern in-depth to ensure controlled access to unique instance usage across the system.
  • Leverage the Factory and Abstract Factory Patterns for creating families of related objects without specifying their concrete classes.
  • Utilize Structural Patterns to facilitate building larger objects from smaller objects while promoting independence and efficient code management.
  • Apply Behavioral Patterns to handle complex communication among interconnected objects and support scalable decision-making structures.
  • Explore key system design concepts such as latency, throughput, caching, and data partitioning to optimize system performance and reliability.
  • Implement effective strategies for data replication and indexing to boost data retrieval processes and system resilience.
  • Synthesize learning to design robust, maintainable, and scalable software solutions through comprehensive pattern

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