Mastering System Design
An international-standard course for designing scalable, reliable, cloud-mapped systems from requirements, constraints, data, APIs, queues, caches, and operational trade-offs.
Lessons
48
Modules
12
Time
51h
Score
100
Beginner Verified
Score 0-35
Module 01 · Score 0-8
System Design Thinking
Convert vague product asks into explicit requirements, constraints, estimates, and trade-offs.
Module 02 · Score 9-17
APIs, Clients, and Services
Design service boundaries, API contracts, request flows, and communication choices.
Module 03 · Score 18-26
Data and Storage Foundations
Choose storage from access patterns, consistency needs, and operational constraints.
Module 04 · Score 27-35
Scalability Foundations
Scale services with statelessness, load balancing, caching, CDN, and capacity thinking.
Intermediate Verified
Score 36-60
Module 01 · Score 36-42
Distributed Data
Reason about replication, partitioning, consistency, conflict handling, and data ownership.
Module 02 · Score 43-49
Queues and Event-Driven Systems
Design asynchronous systems with queues, pub/sub, retries, idempotency, and backpressure.
Module 03 · Score 50-55
Caching and Performance
Improve read paths while protecting correctness, freshness, and operational stability.
Module 04 · Score 56-60
Reliability and Observability
Design systems that survive failure and produce useful operational evidence.
Advanced Verified
Score 61-100
Module 01 · Score 61-70
Designing Core Consumer Products
Design classic consumer systems from requirements through trade-offs and failure modes.
Module 02 · Score 71-80
Designing Data-Heavy Products
Design systems dominated by search, analytics, logs, recommendations, and data pipelines.
Module 03 · Score 81-90
Designing High-Scale Platforms
Design platform-grade systems for throttling, storage, streaming, and location-heavy workloads.
Module 04 · Score 91-100
Architecture Review and Trade-Offs
Review complete designs for scale, cost, reliability, cloud mapping, and assessment quality.