[Cert Mapping]: Map Google "Generative AI Leader" certification (source PDF already in repo, zero mapping done)

[Cybonto]

(Do NOT add good first issue — this is a full from-scratch mapping: extracting knowledge
items from an exam guide and rating ~93-94 chapters against each one is substantial,
open-ended work, not a small bounded task.)

Certification

Google Generative AI Leader (undocumented, PDF only, no mapping yet).

cert_mapping/google_genAI_leader.pdf (215,301 bytes) is already present in the repo.
Its embedded PDF metadata/title fields confirm it is Google's own exam guide —
/Title (generative_ai_leader_exam_guide_english.pdf) and /Title (Generative AI Leader)
— a real, distinct Google certification, separate from the already-mapped Google Cloud
Professional Machine Learning Engineer (PMLE), which has its own complete mapping
(cert_mapping/google_PMLE.csv + .md).

cert_mapping/README.md's overview currently names exactly 5 certifications:

• AWS AIP-C01 (AWS Certified: AI Practitioner)
• Databricks Generative AI Engineer Associate
• Google Cloud Professional Machine Learning Engineer (PMLE)
• Microsoft AI-102 (Azure AI Engineer Associate)

(plus NVIDIA NCP-AAI, named in the paragraph above that list). A full read of README.md
confirms it never mentions "Generative AI Leader," "genAI leader," or
google_genAI_leader anywhere. There is no google_genAI_leader.csv or
google_genAI_leader.md anywhere in cert_mapping/.

This is the natural first pick for anyone starting cert-mapping work, because the
hardest step — sourcing and rights-clearing the official exam guide — is already done.
Every other undocumented-certification idea in this repo would require a contributor to
go find and clear a PDF first; this one doesn't.

Official exam guide

• The official exam guide is already in the repo: cert_mapping/google_genAI_leader.pdf.

The H/M/L/N rubric (quoted verbatim from cert_mapping/README.md)

Each certification mapping file (.csv) indicates how chapter content aligns with
specific certification knowledge items using a four-level relevance scale:

Level	Meaning
H (Highly Relevant)	Mastering this chapter content directly prepares you for questions requiring this knowledge item. The chapter provides comprehensive coverage of the concept.
M (Moderate)	The chapter provides supplementary content. Combined with other chapters, it contributes meaningfully to mastery of this knowledge item.
L (Low)	The chapter contains tangential or minimal relevant content for this knowledge item.
N (Not Relevant)	The chapter does not address this knowledge item.

Definition of done

• Every knowledge item / domain / exam objective in google_genAI_leader.pdf is
  extracted and listed (as the CSV's column headers)
• Every canonical book chapter (see the chapter list in cert_mapping/README.md's
  coverage table — currently 93-94 rows across the 5 existing CSVs, Chapters 1.1A
  through 10.6) is rated H/M/L/N against every extracted knowledge item, using the
  rubric above exactly as the 5 existing CSVs do
• Output delivered as cert_mapping/google_genAI_leader.csv, following the same
  column shape (chapter ID in column 1, one knowledge item per remaining column) as
  the 5 existing CSVs, e.g. cert_mapping/google_PMLE.csv
• A companion narrative summary added as cert_mapping/google_genAI_leader.md,
  following the shape of an existing one, e.g. cert_mapping/google_PMLE.md or
  cert_mapping/databricks_genAI_EngAsc.md (exam focus, key knowledge areas, content
  alignment narrative)
• cert_mapping/README.md updated in three places:
  • The overview bullet list (currently 4 bullets plus the NVIDIA paragraph) gains a
    "Google Generative AI Leader" entry
  • The "Chapter Coverage by Certification" table gains a 6th 🟢/- column for this
    certification
  • The "Understanding the Mappings" bullet list (the 5 lines starting
    - **nvidia_NCP-AAI.csv** – Full mapping of...) gains a matching bullet for
    google_genAI_leader.csv

Estimated effort

Large (~8+ hours). This is a from-scratch mapping of an entire exam guide against
the full chapter set — comparable in scope to how the 5 existing CSVs were originally
built, not an edit or refresh of an existing one.

Required skills

Ability to read an official certification exam guide and extract discrete, well-scoped
knowledge items/domains from it (rather than skimming for keywords); careful,
consistent spreadsheet/CSV work across ~93-94 rows; enough familiarity with this book's
content (or willingness to skim chapter summaries in Study_Plan.md) to rate relevance
honestly rather than defaulting everything to "M."

Exemplar to follow

cert_mapping/README.md — documents the rubric (quoted above) and the file conventions
this mapping should follow. Use cert_mapping/google_PMLE.csv / .md as the closest
existing example, since both target a Google certification.

Additional notes

If the extracted knowledge-item count or exact domain names differ from what's assumed
here, that's expected — this issue is scoping the task, not pre-deciding the exam
guide's content. A maintainer will confirm no one else has claimed this before you start
substantial work. Keep each pull request to roughly 20 changed items or fewer — see
_cfc/workstreams.md §5 for how to split an oversized mapping PR (e.g. one PR for the
CSV, a separate PR for the .md summary and README updates).

Where to ask questions

See SUPPORT.md — GitHub Issues is the primary channel; expect a
first response within 3 business days.