Practice

Interview prep

8 question banks with 187 items in all. Answer out loud first, then compare with the notes.

How to read the labels

Every question carries a label that says where it comes from. Check it before you rely on a question.

Verified company-specific
A company is known to ask it, and the page cites a source you can open. Only these may say a company asks something.
Common industry pattern
The topic comes up again and again across interview guides and the field. The wording and the order are ours.
Generated practice
We wrote it as practice. It is good rehearsal, but it is not a report of what anyone asked.

Star priorities are judgment, not data. A ★ rating says how much we think a question matters. It is not measured from real interviews, so check the current process of any company you are preparing for.

Question banks

  • Advanced

    Round: GenAI/LLM depth + design follow-ups (required) · Difficulty: at-level → stretch for mid-level; at-level for senior

    12 items

  • GenAI Coding Round

    Round: Coding (required) · Difficulty tags relative to mid-level AI/GenAI engineer

    24 items

  • Fundamentals

    Round: GenAI/LLM depth (required) · Difficulty: below-level to at-level for a mid-level AI/GenAI engineer

    10 items

  • Intermediate

    Round: GenAI/LLM depth (required) · Difficulty: at-level for mid-level AI/GenAI engineer

    12 items

  • Scenario Based

    Round: GenAI/LLM depth + production debugging · Difficulty: at-level

    10 items

Study the interview path

Interview preparation across the course: fundamentals, RAG, agents, safety, production and system design. It covers 24 lessons, about 13 hours.

  1. LLM foundations
  2. Retrieval-augmented generation
  3. Tools and agents
  4. Safety and guardrails
  5. Production: cost, serving and observability
  6. GenAI system design

See the interview path