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Course contents

  • Getting Started with AI for VLSI Engineers5
    • Useful AI Tasks: Start Small and Checkable
    • Assistants, Models, Tools, and Your Responsibility
    • Your First RTL Explanation
    • Improve the Answer and Check It Independently
    • Choose a Tool for the Task
  • 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 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. Getting Started with AI for VLSI Engineers

Getting Started · Beginner

Getting Started with AI for VLSI Engineers

A first week of small, checkable AI tasks, ending with an evidence-backed RTL explanation.

  • 5topics
  • 5lessons
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    You do not need prior AI knowledge or a paid account to begin. An AI assistant accepts a request and produces a response; your first skill is deciding which parts of that response deserve trust. Start with synthetic material small enough to check yourself. The examples here are authored teaching examples, not transcripts of model calls or results of simulation.

    Your first week

    Day

    Lesson and activity

    Keep as evidence

    1: 20 minutes

    Useful AI tasks: classify one task from your discipline.

    A scoped request and a reason to use AI.

    2: 20 minutes

    Assistants and models: identify what a chat or coding assistant can access.

    An allowed-actions statement.

    3: 30 minutes

    Your first RTL explanation: read the complete counter and draft an explanation.

    A prompt, a corrected explanation and a hand trace.

    4: 30 minutes

    Improve and check: correct a claim and hand-trace boundary cases.

    A revised answer and independent checks.

    5: 20 minutes

    Choose a tool: compare permitted ways to complete this task.

    A decision with privacy, time, and cost limits.

    6: 20 minutes

    Combine the week's notes into one review packet.

    Mark every check as planned, hand-derived, or actually executed.

    7: 15 minutes

    Ask a peer to assess the packet, or review it against the exit checks below.

    One correction and one next task.

    Exit artifact: one reviewed explanation

    Produce a short note containing the synthetic counter source, your exact request, the answer you assessed, a corrected explanation, a hand-derived trace, and the tool decision. Label an authored example as synthetic; if you later use an approved assistant, identify its actual response separately. Keep the original mistake visible so a reviewer can follow your correction.

    • Explain all four ports, reset timing, enable behavior, hold behavior, and wraparound in your own words.

    • Reject the unsupported frequency claim and name the missing implementation evidence.

    • Show a reset-with-enable case, a hold case, and a wrap case with explicit initial conditions.

    • Record who reviewed the note and what remains unverified. A solo review may say 'self-review'; do not invent a reviewer.

    Completion means you can distinguish a useful draft from checked engineering evidence. You can finish with the supplied synthetic responses and paper reasoning if no approved assistant is available. RTL, design verification (DV), static timing analysis (STA), and physical design (PD) engineers share this habit even when their eventual tools differ.

    Related topics

    • Start: useful AI tasks

    • Up: AI Skills course

    PreviousNext: Useful AI Tasks: Start Small and Checkable

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    See also

    • Just Enough AI: Models and Context
    • Prompting
    • Trust and Verification