AI Engineering
Retrieval, evaluation, LLMOps, guardrails, and agentic systems for production AI.
Question Bank
Topic-organized interview questions with model answers.
Open (128)Scenario Workbook
Practice prompts and incident post-mortems.
Open (11)Case Studies
Worked whiteboard scripts with a self-score rubric.
Open (4)Portfolio Projects
Example project narratives to model your own story on.
Open (2)Mock Interviews
Structured practice interviews under a fictional company.
Open (6)RAG Pipeline Lab
Interactive retrieval-parameter simulator, no sign-in required.
Open
Reference
Study Plan
A day-by-day plan built from this Domain’s priorities.
OpenSkill Matrix
What “production-ready” looks like, skill by skill.
OpenGlossary
Every acronym and term used across this Domain, defined.
OpenCheat Sheet
A condensed last-minute review.
OpenCost Planning
A Bill of Materials and unit-economics method.
OpenSample Job Description
See how a real posting maps to a prep checklist.
OpenIntroduction Template
Structure your 2-minute pitch and opening story.
OpenInterviewer Personas
Adapt your pitch to who’s asking.
Open
Public access boundary: Module scope is public. Full Lesson bodies require sign-in.
- 01 · AI System FoundationsSign in to learn
- 02 · Retrieval-Augmented GenerationSign in to learn
- 03 · Evaluation and GuardrailsSign in to learn
- 04 · LLMOps and ObservabilitySign in to learn
- 05 · Agentic SystemsSign in to learn
P0 — must be interview-ready
P1 — must not get exposed
P2 — skim only if time remains