System Design Training Program

Live Course
interested count35k+ interested Geeks

Build job-ready system design skills through hands-on classes focused on real world scalability. Learn system design fundamentals, distributed systems, APIs, databases, and caching for senior-level interviews and production systems.

levelBeginner to Advancedcourse duration12 Weeksseats-left2 Seats Left
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Course Overview

Document Model
System Design Foundations
CAP theorem trade-offs, fault tolerance, replication, and consistency models.
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Scalable Distributed Systems
Load balancing using L4 and L7 balancers, sharding, and replication strategies.
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Infrastructure Pipelines
CI/CD systems with artifact storage, rollback strategies, and worker pools.
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Concurrency & Scalability
Concurrency concepts, including concurrent request handling, async processing, and distributed task coordination.
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API Production Design
API layer design with proper error handling and validation.
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Course Content

01Module 1: System Design Foundations
  • What is HLD - scope, goals, functional vs non-functional requirements
  • PEDALS / RESHADED interview frameworks
  • Capacity estimation - DAU, QPS, storage back-of-envelope
  • Latency numbers every developer should know
  • Client-server model, stateless vs stateful services
  • Trade-off decision framework (CAP, latency vs consistency)
02Module 2: Scalability Fundamentals
  • Vertical vs horizontal scaling - trade-offs
  • Load balancing - round-robin, least connections, IP hash
  • Sticky sessions - failure modes and alternatives
  • Stateless architecture for horizontal scalability
  • Read replicas, auto-scaling, geographic distribution
  • Cost vs performance trade-offs; connection draining & graceful scale-in
03Module 3: Databases at Scale - Part 1
  • RDBMS vs NoSQL - when to choose which
  • ACID properties & BASE model (eventual consistency)
  • CAP theorem & PACELC theorem
  • Database indexing strategies - B-tree, hash, composite
  • Schema migration strategies - zero-downtime migrations
  • NewSQL (CockroachDB, Spanner) & time-series databases
04Module 4: Databases at Scale - Part 2
  • Database sharding - horizontal partitioning strategies
  • Consistent hashing for shard routing
  • Read/write separation - primary-replica pattern
  • Multi-leader replication & conflict resolution
  • Connection pooling
  • Vector databases (Pinecone, pgvector) & graph databases (Neo4j)
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What Sets Us Apart

Recognised Certification

Recognised Certification

Earn an industry-recognized GeeksforGeeks Training Certificate for credible validation, career advancement, and lifetime
24 X 7 AI Doubt Support

24 X 7 AI Doubt Support

AI Chat Support for instant doubt resolution, plus a dedicated Teaching Assistant exclusively assigned to your batch.

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Frequently Asked Questions

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