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Cert prep·NVIDIA · NCP-GENL · Target Nov 2026

NVIDIA Generative AI LLM Professional

NCP-GENL cert track

Level
Professional
Time
~27 hr
Modules
7
Status
Planned

Prep scope

Production LLM systems: RAG pipelines at scale, model parallelism, inference optimization, and deployment patterns. Completes the NVIDIA LLM instructor track.

Cert track · BakedIn parallel courses

BakedIn cert-prep guides being authored against the same exam blueprint. Validated by Glen passing the cert from the BakedIn content.

  • BakedIn LLM Domain Adaptation + Compression

    Pairs to S-FX-33 + S-FX-24 (substitutes for Adding New Knowledge workshop). DAPT, SFT, DPO, quantization, pruning, distillation.

  • BakedIn LLM Inference at Scale

    Pairs to S-FX-18 (substitute for Deploying & Optimizing Inference workshop). Inference economics, model serving, latency optimization. Backed by Bedrock-routed per-task model selection.

  • BakedIn RAG Foundations

    Shared with NCP-AAI track.

  • BakedIn RAG Production

    Shared with NCP-AAI track.

How this prep is built

Each cert prep guide on this site is authored via the same BakedIn content pipeline that produces the Getting Ready for AI pathway: ingestion of vendor source material, structured synthesis with citations, generated practice items, and evaluations against the exam blueprint.

The methodology was proven by hand on four earlier certs (CISSP, CISM, CISA, CRISC). AI learning engineering is what scales it across the guides currently in flight.

Guide content is still being authored. This is a roadmap page, not a finished product.