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Course contents

  • Getting Started with AI for VLSI Engineers5
  • Just Enough AI: Models and Context15
  • Prompting13
  • Trust and Verification14
  • Using AI for Engineering Work17
  • Engineering Walkthroughs7
  • Practical Foundations for AI Workflows4
  • Engineering Data5
  • Retrieval-Augmented Generation6
  • Agents and Tool Use18
  • Agent Design8
  • MCP and Skills6
  • Multi-Agent Design6
  • Practical Capstone6
  • Tokens, Cost and Latency12
  • Agentic Workflows for Chip Teams18
  • Interview and Judgment10
    • AI Interview Questions
    • Design Scenarios with Numbers
  • AI Skills: Full Course Index
  • Working with AI Glossary
  • Working with AI Cheatsheet
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‹AI Skills for VLSI Engineers
  1. Topics
  2. AI Skills for VLSI Engineers
  3. Interview and Judgment

Reference: Interview and Judgment · Beginner to Intermediate

Interview and Judgment

Practice interview answers and worked scenarios for judging AI use with numbers.

  • 2topics
  • 10lessons

This part collects interview questions with model answers and worked design scenarios. The questions test judgment about cost, verification, and guardrails while the scenarios show the arithmetic behind each recommendation.

Learning path through the interview and judgment topics.
Suggested order. Interview questions first, then design scenarios.

The two topics

Topic

Lessons

Description

Time

AI Interview Questions

6

An interview bank with model answers on tokens, cost, prompting, verification, agents and guardrails.

50 min

Design Scenarios with Numbers

4

Four worked scenarios with assumptions, arithmetic, and recommendations for judging AI use.

30 min

Tip

When answering, state the check before the claim: what was verified, what it cost, and where a person must approve.

Check yourself What must a regression-triage recommendation include before it is acted on?

The assumptions, the arithmetic, and the approval condition. The Design Scenarios with Numbers topic works through budgets, triage guardrails, and tool evaluation with explicit numbers.

Interview

Typical screening questions from this part: token and context trade-offs, cost estimation method, prompt failure modes, verification steps, agent stop conditions, and guardrail design.

Related topics

  • Up: Working with AI course hub

  • Previous: Agentic Chip Workflows

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See also

  • Getting Started with AI for VLSI Engineers
  • Just Enough AI: Models and Context
  • Prompting