System Design Training Program
35k+ interested Geeks
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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.
Beginner to Advanced12 Weeks4 Seats Left
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Course Overview
System Design Foundations
CAP theorem trade-offs, fault tolerance, replication, and consistency models.
CAP theorem trade-offs, fault tolerance, replication, and consistency models.
Scalable Distributed Systems
Load balancing using L4 and L7 balancers, sharding, and replication strategies.
Load balancing using L4 and L7 balancers, sharding, and replication strategies.
Infrastructure Pipelines
CI/CD systems with artifact storage, rollback strategies, and worker pools.
CI/CD systems with artifact storage, rollback strategies, and worker pools.
Concurrency & Scalability
Concurrency concepts, including concurrent request handling, async processing, and distributed task coordination.
Concurrency concepts, including concurrent request handling, async processing, and distributed task coordination.
API Production Design
API layer design with proper error handling and validation.
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
Earn an industry-recognized GeeksforGeeks Training Certificate for credible validation, career advancement, and lifetime
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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Is there a refund option if I am not satisfied with the course?
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