System Design Training Program
46k+ 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 Weeks
Freedom to Learn, Freedom to Grow! Grab 25% OFF! Need Guidance? Call +91 9217990450
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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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.
Modern AI Toolkit
Takes techies from AI tools to AI-native systems, covering prompts, RAG, agents, MCPs, and full-stack AI.
Course Syllabus
System Design Training Program
AI Toolkit for Developers
Module 1: System Design Thinking & Requirement Analysis
- What is HLD - scope, goals, functional vs non-functional requirements
- PEDALS / RESHADED interview frameworks
- Capacity estimation - DAU, QPS, storage back-of-envelope calculations
- Bottleneck analysis and identifying system constraints
- API contracts and interface design principles
- Client-server architecture fundamentals
- Trade-off decision framework (CAP, latency vs consistency)
Case Study: Bitly URL Shortener
Module 2: Scalability Fundamentals
- Vertical vs horizontal scaling - trade-offs and use cases
- Stateless architecture for horizontal scalability
- Load balancing - round-robin, least connections, IP hash
- Sticky sessions - challenges, failure modes, and alternatives
- Auto-scaling fundamentals and scaling policies
- Geographic distribution and multi-region deployments
- Cost vs performance trade-offs
Case Study: Dropbox
Module 3: Database Fundamentals
- RDBMS vs NoSQL - when to choose which
- ACID properties and BASE model
- CAP theorem and PACELC theorem
- Database indexing strategies - B-tree, hash, composite indexes
- Schema design and query optimization fundamentals
- Database performance bottlenecks
Case Study: Local Delivery Service
Module 4: Database Scaling
- Database sharding - horizontal partitioning strategies
- Consistent hashing for shard routing
- Read/write separation - primary replica pattern
- Read replicas and scaling read-heavy workloads
- Multi-leader replication and conflict resolution
- Connection pooling and database optimization
Case Study: News Aggregator
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Upcoming Batches
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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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