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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
    • Files, CSV, and JSON
    • Tables and IDs
    • Basic SQL for Engineering Questions
    • Regression Database Lab
    • Queries Versus Search
  • 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. Engineering Data

Engineering Data · Beginner

Engineering Data

Turn engineering reports into trustworthy records, queries, and evidence for AI assistance.

  • 5topics
  • 5lessons

An AI assistant can help explain a report, but counting failures starts with well-defined records. Learn to move from CSV and JSON into tables, write a small SQL query, and decide when a question needs a query or document search. All examples describe fictional runs; no design, simulator, or production database is required.

Lesson

Practical outcome

Files, CSV, and JSON

Preserve types, units, missing values, and provenance.

Tables and IDs

Define what one row means before joining records.

Basic SQL

Filter, group, and count without changing the denominator.

Regression database lab

Use an in-memory sqlite3 dataset with known answers.

Queries versus search

Choose exact computation, evidence retrieval, or both.

Tip

The lab is a complete Python 3.12 standard-library listing with no network or file writes. Expected results are derived from its fixed input, not reported execution results.

Related topics

  • Up: Working with AI

  • Start: Files, CSV, and JSON

  • Next section: Retrieval-Augmented Generation

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See also

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