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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
    • RTL and Testbench Assistance
    • Debugging with AI
    • Scripts and Automation
    • Data, Privacy and IP
  • 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 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. Using AI for Engineering Work

Everyday Engineering Assistance · Beginner to Intermediate

Using AI for Engineering Work

Use assistants on RTL, debug, scripts, and shared data, with engineer-owned checks on every draft.

  • 4topics
  • 17lessons

This part uses assistants for routine engineering work: RTL drafts, failing runs, helper scripts, and shared data. Every draft ships with a check the engineer runs and owns.

Learning path through the engineering-work topics.
Suggested order. RTL assistance first, then debugging, then scripts, then data and privacy.

The four topics

Topic

Lessons

Description

Time

RTL and Testbench Assistance

5

Use an assistant on RTL and verification: explain, draft, review, assert, and verify everything.

40 min

Debugging with AI

4

Debug failing runs with AI: tight log slices, ranked hypotheses, and engineer-owned checks.

30 min

Scripts and Automation

4

Drafting helper scripts with an assistant, then reviewing, previewing and testing them.

30 min

Data, Privacy and IP

4

What stays out of prompts, and how policy, redaction, and review keep it out.

30 min

Tip

Review generated RTL and scripts before use: run lint and simulation on RTL, and preview scripts with a dry run on a copy.

Check yourself Why does an accepted assistant draft still need an engineer-run check?

The draft is unverified text until the engineer confirms it: simulation and assertions for RTL, a rerun experiment for a debug claim, a dry run on a copy for scripts, and redaction review for shared data. The Data, Privacy and IP topic covers what must never reach a prompt.

Interview

Typical screening questions from this part: reviewing generated RTL and assertions, debugging from log slices, safe scripting habits, and what stays out of prompts.

Related topics

  • Up: Working with AI course hub

  • Previous: Verification and safe use

  • Next: Role-based VLSI walkthroughs

PreviousNext: RTL and Testbench Assistance

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Up nextRTL and Testbench Assistance

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See also

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