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Master System Design and Architecture

Design, implement and ship highly scalable, fault-tolerant, and available systems.

Course Fee : 5,999 (Inclusive of 18% GST)

Course 

System Design and Architecture lie at the very heart of modern software development. In a world driven by rapidly evolving technologies and ever-changing industry demands, your ability to architect scalable systems, evaluate trade-offs, and communicate design decisions under real-world constraints defines your true engineering calibre — and often, your compensation at top technology companies.

 

This course is meticulously designed to spark your engineering curiosity, strengthen your design intuition, and equip you with the practical frameworks and confidence needed to excel in high-stakes technical discussions and real-world problem solving. Whether you’re aspiring to crack top-tier interviews or elevate your architectural thinking, this program will help you build systems — and a career — that scale.

Course Highlights

  • One 30-mins 1:1 Mentorship Session

  • One mock interview by an industry expert

  • Lifetime access to the cohort recordings

  • Lifetime access to the Network and Community

  • Open forums and interaction with the cohort

  • Doubt resolution during and post live sessions

  • Language of communication will be strictly English

Course Details

  • Course Starts - 15th Nov 2025

  • Course ends - 21st Dec 2025

  • Weekly Schedule - Sat & Sun 7:00 pm to 9:00 pm (IST)

  • Total Classes - 12 Classes of 2 hours each.

  • Mode - online (Live + Recordings)

  • Master core system design principles like caching, routing and eventual consistency.

  • Architect scalable distributed systems using microservices.

  • Handle concurrency, request sequencing and asynchronous processing effectively.

  • Design scalable, reliable systems with databases, caches, load balancers, queues, and microservices

  • Pattern toolkit: sharding, replication, consistency models, CQRS, and event-driven design

  • Capacity and reliability skills: throughput and latency math, bottlenecks, SLIs and SLOs, failure handling

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