System Designing¶
Fresh system-design track for lead AI engineering and production AI architecture.
The previous system-design track is archived at legacy/.
| Module | Focus | Tier |
|---|---|---|
| 00 | System design first principles | Foundations |
| 01 | HLD — high-level design | Foundations |
| 02 | LLD — low-level design | Foundations |
| 03 | Networking and internet fundamentals | Building blocks |
| 04 | Backend API design | Building blocks |
| 05 | Databases, storage, and caching | Building blocks |
| 06 | Event-driven and distributed systems | Scale & distribution |
| 07 | Cloud infrastructure for AI | Infrastructure |
| 08 | Kubernetes and GPU platforms | Infrastructure |
| 09 | Observability, reliability, and incidents | Operations |
| 10 | Security, governance, and multi-tenancy | Operations |
| 11 | Data platform and pipeline design | Data & AI platforms |
| 12 | AI platform system design | Data & AI platforms |
| 13 | Interview case studies (13 problems) | Practice |
| 14 | Streaming multimodal data platform — real-time ingestion, in-stream embeddings, multimodal indexing, freshness vs cost, lineage | Data & AI platforms |