The curriculum
Foundations, capabilities, and the systems you build from them.
Every capability runs the same engineering loop: dataset, build, eval, trace, fix. Learn the foundation once, then repeat the loop on each capability until it is reflex, and compose the results into production systems.
M3 is live. The rest are being written.
Get notified
New modules go live as I write them. Get each one in your inbox the day it ships — no spam, just the next lesson.
Foundation
- M1Datasets & EvaluationFreeRead →
- M2Observability & TraceabilityFreeRead →
- M3AI System FundamentalsFreeRead →
- M4The Model as a Component
- M5Prompt & Context Engineering
- M6Data & State
- M7AI Product Framing
- M8Experimentation
Cross-cutting rails
- M9Harness & Reliability
- M10AI Security & Guardrails
- M11Production, Deployment & Scale
- M12LLMOps & Cost
Capabilities
- M13Classification
- M14Routing
- M15Verification
- M16Memory
- M17Planning
- M18Tool Use
- M19RAG & Retrieval
- M20Visual Grounding & VLMs
- M21Fine-Tuning
- M22Generation
- M23Extraction
- M24State Understanding
- M30Agents
Compose into systems
- M25AI System Design & Trade-offs
- M26AI Infrastructure & Inference
- M31Orchestration & Multi-Agent Systems
- M27Capstone — Build One End-to-End
Enterprise
- M28Enterprise, Compliance & Governance
The rail through all of it
- M29Working as a Production AI Engineer
Read the live modules first.
The index stays here as the curriculum fills in. Live modules are linked; upcoming modules are available as previews.