Start with the workload
Frame requirements, estimate capacity and define the interfaces before choosing components.
Turn requirements into a clear architecture. Learn to make deliberate decisions about APIs, storage, scale and reliability, and explain the trade-offs behind them.
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Learn to turn requirements into scalable systems and discuss the tradeoffs behind data, services and reliability.
Frame requirements, estimate capacity and define the interfaces before choosing components.
Compare storage, caching, partitioning and messaging choices.
Discuss consistency, retries, idempotency and observability in a structured design review.
AI can propose an architecture, but your requirements, workload and reliability goals determine whether it fits. Build the judgement to question design suggestions and explain the trade-offs you choose.
Scope the workload, choose the data architecture, plan for scale and practise explaining reliability decisions.
Complete topics, assignments and learning outcomes.
Put it into practice Draft a requirements and capacity document.
Scope a system before choosing its architecture.
Put it into practice Choose a data architecture for a workload.
Explain storage decisions and their consequences.
Put it into practice Design a scalable read-heavy service.
Handle traffic and latency with practical building blocks.
Put it into practice Analyze failures in an event-driven workflow.
Design for failure and operational visibility.
Put it into practice Present and defend two system design case studies.
Communicate tradeoffs in a structured design interview.
Explore project ideas that bring the System Design curriculum together. Build, test and explain the decisions behind your work.
Generate short links, route reads through a cache, and estimate the storage and traffic the service must handle.
Route messages through queues, prioritise urgent work, and keep delivery reliable with retries and idempotency.
Return suggestions as the user types, cache popular prefixes, and keep latency low under heavy reads.
Each curriculum module includes practical work to help you apply and review the idea.
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Talk to an advisorSchedules and fees shown are previews. Our team will confirm availability, mentor and final fee before enrolment.
Meet Coding Blocks learners whose practice and persistence led to opportunities at leading companies.
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Talk to an advisorThis course is aimed at intermediate to advanced learners. Programming experience and familiarity with APIs, databases and backend concepts will help you participate in architecture discussions.
The roadmap covers design foundations, data & storage, scale & performance, reliability & distributed systems, design interview practice. Project ideas include URL shortener design, Messaging architecture. Ask your advisor to confirm the work and review process for your selected batch.
AI can propose an architecture, but your requirements, workload and reliability goals determine whether it fits. Build the judgement to question design suggestions and explain the trade-offs you choose.
Use the NSP and Noida selector to compare any published weekday and weekend schedules. If a centre has no listed batch, our team can help you check upcoming availability. Ask about live online options if you prefer to learn remotely.
These depend on your selected batch. Review the available schedule and fee together, and ask our team to confirm the current duration, mentor allocation and enrolment details.
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Start with a clear roadmap and a batch that fits your routine.
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