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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 AssistanceBeginner 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

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.

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