Core System Design Course Overview

Core System Design Course Overview

Embark on a transformative learning journey with our Core System Design course, tailored for IT professionals aiming to master system architecture. Over 2 days, delve deep into essential topics including System design fundamentals, efficient use of Databases, advanced Caching strategies, and managing Asynchronous systems. Equip yourself to design robust Resilient systems, understand Consumer-facing platforms like e-commerce and social feeds, and tackle Critical system utilities for real-world applications. Whether you're designing scalable Databases or implementing fault-tolerant services, this course offers practical insights and hands-on experiences to elevate your system design capabilities and ensure you build efficient, scalable solutions.

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  • Live Training (Duration : 16 Hours)
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  • Live Training (Duration : 16 Hours)
  • Per Participant
  • Classroom Training fee on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

Request More Information

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Koenig's Unique Offerings

Target Audience for Core System Design

The Core System Design course at Koenig Solutions comprehensively covers essential system design topics, ideal for those in IT who aim to enhance or conceptualize robust systems.


Target Audience:


  • Software Architects
  • System Engineers
  • Database Administrators
  • Backend Developers
  • IT Project Managers
  • Data Scientists interested in system architecture
  • DevOps Engineers
  • Technical Managers
  • Professionals in IT infrastructure roles
  • Senior Developers transitioning into design roles


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

Introduction to the Core System Design Course: In this 2-day course, participants will gain essential knowledge on designing scalable, resilient, and efficient systems, focusing on modern databases, caching techniques, asynchronous systems, and aspects related to critical infrastructure and consumer-facing applications.

Learning Objectives and Outcomes:

  • Understand the fundamentals of system design, including approaches and evaluation metrics for successful system architectures.
  • Explore and differentiate between relational and non-relational databases, understanding their appropriate application scenarios.
  • Learn database scaling techniques, including sharding and partitioning, to manage large datasets effectively.
  • Gain comprehensive insights into caching mechanisms to enhance system performance and scalability.
  • Acquire knowledge on asynchronous processing systems including message queues and stream processing with Kafka.
  • Design resilient systems capable of auto-recovery using load balancers, circuit breakers, and leader election techniques.
  • Understand and apply various essentials of scaling large systems, such as bloom filters, consistent hashing, and communication protocols.
  • Delve into the design and scalability of consumer-facing systems like e-commerce listings, social feeds, and notification systems.
  • Apply design principles to critical and utility systems, such as fraud detection systems, web crawlers, and API rate limiters.
  • Explore storage solutions and big data integration for handling extensive

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