AI Engineering Interview Prep
The five 2026 interview formats and how to ace each one.
Practical track on the formats teams actually use: prompt-design exercises, eval-design discussion, RAG and agent system-design whiteboards, RAG-vs-fine-tuning trade-off questions, debugging exercises with broken prompts, take-homes, and a self-assessment rubric. Bridges the rest of the catalog to job outcomes.
7h
Duration
8
Lessons
1.5k
Learners
Course map
Lessons unlock as you complete the previous one. Your progress is saved on this device.
Lesson 1
The 2026 AI engineering interview landscape
9m35 XPLesson 2
The prompt-design exercise
11m40 XPLesson 3
Eval-design — the most discriminating round
11m45 XPLesson 4
System design — a RAG product
13m50 XPLesson 5
System design — an agentic product
12m50 XPLesson 6
Trade-off questions — RAG vs fine-tuning vs prompting
9m35 XPLesson 7
Debugging exercises — broken prompts, broken evals, broken pipelines
11m45 XPLesson 8
Take-homes, behavioral, and a self-assessment rubric
10m45 XP
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