From first principles to distributed systems. Every concept paired with real-world case studies and hands-on labs. Tap any module to jump straight in.
The mental model every design starts from: framework, NFRs, scaling, concurrency.
Start module ›How a request actually travels the wire: DNS, TCP/UDP, HTTPS, the event loop.
Start module ›REST, gRPC, GraphQL, WebSockets, SSE, idempotency, pagination and more.
Start module ›Authentication, authorization, and encryption done the way production expects.
Start module ›Load balancers, gateways, NGINX, Kubernetes, service mesh, CI/CD, IaC.
Start module ›DB internals, indexing, SQL, NoSQL, search, blob, vector, and graph databases.
Start module ›Strategies, invalidation, a full Redis deep dive, and CDNs at the edge.
Start module ›Queues, Kafka, pub/sub, DLQs, event sourcing, CQRS, and ordering.
Start module ›CAP, consistency models, consensus, distributed transactions, sagas.
Start module ›Partitioning, sharding, consistent hashing, bloom filters, rate limiting.
Start module ›Patterns, ZooKeeper, consensus, leader election, fault tolerance.
Start module ›CDC, ETL/ELT, stream and batch processing, warehouses, lakehouses.
Start module ›Logs, metrics, distributed tracing, OpenTelemetry, incident response.
Start module ›Latency, throughput, storage, cost, SLA math, and back-of-envelope estimation.
Start module ›Flowcharts to pick the right API, database, cache, and scaling approach.
Start module ›The patterns, data-structure instincts, and system design skills you build here are exactly what top product and FAANG-level companies interview for.
Three live cohorts to go deep with expert feedback: crack the coding round with data structures & algorithms, master system design, or build production-grade AI systems.
Every weekend introduces a building block, then you use it live on a real-world design problem. Instagram, Uber, WhatsApp, Discord, how they actually work, not memorized scripts.
Learn one coding pattern at a time, then apply it immediately, arrays & hashing through trees, graphs, and dynamic programming, in the right order until pattern recognition is instinct.
Build production AI systems end to end: RAG pipelines, tool-calling and multi-agent systems, MCP, evals, guardrails, and observability, then ship a capstone.
Small live cohort, weekend sessions, personal attention on every design you build. Lock your seat before it’s gone.