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AI Engineer Reference Modules: Build, Debug, Explain

This section is the reusable reference layer for the site. Use these modules when you want the durable explanation behind the daily plan: how the systems work, what interviewers expect, and how to connect concepts to execution.

Who This Is For

Use this if you are targeting AI Engineer, Agent Engineer, GenAI Engineer, or LLMOps roles where interviewers test build-debug-deploy ownership.

Module Map

Module Focus Use this when you need Open
01 RAG debugging and retrieval quality Retrieval grounding, chunking, citations, and failure analysis 01 RAG Debugging and Quality
02 Agentic workflows Tool calling, state, approval gates, retries, and workflow design 02 Agentic Workflows
03 Evals, observability, and production Eval design, tracing, release gates, and readiness reviews 03 Evals, Observability, and Production
04 STAR story system Role targeting, evidence mapping, story building, and portfolio framing 04 STAR Story System
05 Interview sprints and mock loops Timed drills, scorecards, and mock loop practice 05 Interview Sprints and Mock Loops
Need Open
Day-by-day study sequence Learning and Revision Plan
Week-specific hands-on projects Mini Projects