DP-B · Glossary

AI Engineering Glossary & Reference

180+ terms across ML, Deep Learning, LLMs, MLOps, and Data Engineering. Each term is defined clearly for practitioners — not a Wikipedia rewrite. Organized alphabetically by section, with ML application context for every term.

180+ terms ML theory LLM concepts MLOps
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Why this resource delivers outsized value

190 practitioner definitions — not Wikipedia fluff.

What you get

  • ML, Deep Learning, LLMs, MLOps, and Data Engineering in one reference
  • Every term includes production context for interviews and standups
  • Alphabetical sections with cross-domain coverage
  • Instant lookup during system design and code reviews

Who it's for

  • New ML engineers building vocabulary
  • PMs and tech leads in AI products
  • Interview prep alongside DP-A and DP-C

Knowledge domains covered

ML Foundations ----+---- Deep Learning
                   |
LLMs / RAG --------+---- MLOps / Serving
                   |
Data Engineering --+---- Evaluation / Safety

Deliverable

Premium PDF: DP-B-AI-Engineering-Glossary.pdf — professionally formatted, print-ready, with Systemdr, Inc. branding throughout.

190 practitioner definitions — not Wikipedia fluff.

What you get

  • ML, Deep Learning, LLMs, MLOps, and Data Engineering in one reference
  • Every term includes production context for interviews and standups
  • Alphabetical sections with cross-domain coverage
  • Instant lookup during system design and code reviews
  • Knowledge domains covered

    ML Foundations ----+---- Deep Learning
                       |
    LLMs / RAG --------+---- MLOps / Serving
                       |
    Data Engineering --+---- Evaluation / Safety

    Published by Systemdr, Inc. · aieworks.systemdrd.com · Newsletter