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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
      • What Never to Paste
      • Policy and Approved Tools
      • Sanitise Before Sharing
      • Local Tools, Hosted Tools, and Security Review
  • 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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‹Using AI for Engineering Work
  1. Topics
  2. AI Skills for VLSI Engineers
  3. Using AI for Engineering Work
  4. Data, Privacy and IP

Everyday Engineering Assistance · Beginner to Intermediate

Data, Privacy and IP

Classify input, match approved deployment conditions, and understand the limits of redaction.

  • 4topics
  • 4lessons

Before sharing input, match its company data classification to an approved account, deployment, and use. Proprietary data may be permitted under specific company-approved conditions; public-tool approval does not establish that permission. Redaction reduces selected disclosures but never authorises sharing by itself.

Risk class

Examples

Handled in

Design data

RTL, netlists, constraints, floorplans, test results

What never to paste

Credentials

Passwords, keys, tokens, certificates

Never paste, plus redaction

Policy and tools

Data classes and approved tools

Policy and approved tools

Deployment and review

Local versus hosted, least privilege, security review

Local, hosted, and security review

Policy-guided prompting path.
Policy gates every prompt; input handling and the actual deployment must match approval, and output is verified.

Lesson

What it covers

What never to paste

Credentials stay out; other sensitive classes require matching approval.

Policy and approved tools

Company policy first, data classes, and the checks before any paste.

Sanitise before sharing

An illustrative regex redactor and the limits of its fixed fixtures.

Local, hosted, and security review

Deployment tradeoffs, least privilege, and how to ask the security team.

Check yourself A log line holds a password beside the failure being debugged. What is the safe order of operations?

Keep the password out of prompts, classify the remaining content, minimise and redact as required, then confirm that sharing the remaining information through this account and deployment is authorised. A redacted failure is not automatically cleared.

Interview

Carry one sentence per lesson: credentials stay out of prompts, policy pairs data classes with deployment conditions, fixture checks illustrate limited redaction behavior, and sharing still requires authorisation.

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See also

  • RTL and Testbench Assistance
  • Debugging with AI
  • Scripts and Automation