44 tests passing · 14 phases · 7 volumes
Learn AI engineering by
building a real product.
A complete, self-contained curriculum: seven volumes covering everything from transformers to job interviews, plus a fully built, fully tested, 14-phase implementation of SmartStore AI — a RAG-powered retail navigation assistant — from empty repo to AWS production.
7
BOOTCAMP VOLUMES
14
BUILD PHASES, 0–13
44
TESTS, ACTUALLY PASSING
5
REAL BUGS CAUGHT & FIXED
Start here if you're learning
The Bootcamp
Seven volumes, dense not padded: AI fundamentals, RAG, agents & MCP, production architecture, six end-to-end projects, advanced retrieval/multimodal/LLMOps, and a full job-transition toolkit.
Begin with Volume 1 →
Start here if you're building
The SmartStore AI Build
A real RAG retail assistant, built phase by phase from an empty repo to AWS production — every line of code actually run and tested, every real bug documented, not hidden.
See the roadmap →
Bootcamp volumes
SmartStore AI build phases
- —Master Roadmap
- 00Project Setup & Environmenttested
- 01Database Design & Core Modelstested
- 02Product Catalog Ingestiontested
- 03Core RAG Query Pipelinetested
- 04SwiftUI MVP Chat UItested
- 05Authenticationtested
- 06RBAC & Multi-Store Isolationtested
- 07Agent Layer & Tool Callingtested
- 08Streaming, Voice & Image Inputtested
- 09Caching & Cost Optimizationtested
- 10Observability & Evaluationtested
- 11CI/CD & MVP Deploymenttested
- 12Production Hardening & AWStested
- 13Launch, Governance & Iterationtested
- —Governance Documentation