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Cert prep·NVIDIA · NCA-GENL · Live now

NVIDIA Generative AI LLM Associate

NCA-GENL cert track

Level
Associate
Time
~30 hr
Modules
6
Status
Start Lesson 1.1Or try mock 1

Course map · 31 lessons across 5 domains

Walk the path · each node is a lesson.

Done
0
In progress
0
Total
31
Domain 1 · 30%

Core Machine Learning and AI Knowledge

10 lessons
  1. 1.1
  2. 1.2
  3. 1.3
  4. 1.4
  5. 1.5
  6. 1.6
  7. 1.7
  8. 1.8
  9. 1.9
  10. 1.10
Domain 2 · 14%

Data Analysis and Visualization

5 lessons
  1. 2.1
  2. 2.2
  3. 2.3
  4. 2.4
  5. 2.5
Domain 3 · 22%

Experimentation

5 lessons
  1. 3.1
  2. 3.2
  3. 3.3
  4. 3.4
  5. 3.5
Domain 4 · 24%

Software Development

7 lessons
  1. 4.1
  2. 4.2
  3. 4.3
  4. 4.4
  5. 4.5
  6. 4.6
  7. 4.7
Domain 5 · 10%

Trustworthy AI

4 lessons
  1. 5.1
  2. 5.2
  3. 5.3
  4. 5.4
Mock exams · timed

Blueprint-weighted sits

6 exams
  1. Mock 01
  2. Mock 02
  3. Mock 03
  4. Mock 04
  5. Mock 05
  6. Mock 06

Prep scope

Large language model (LLM) architectures, training, alignment, and inference economics: first step on the BakedIn NVIDIA instructor path.

Cert track · NVIDIA self-paced

The NVIDIA self-paced courses in this cert prep path. Free courses do not require Inception codes; paid courses redeem one code each.

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 Deep Learning Foundations

    Pairs to S-FX-01 + S-FX-07. PyTorch, training loops, generative AI primer.

  • BakedIn Transformer NLP

    Pairs to S-FX-08. Tokenization, encoder/decoder, fine-tuning.

  • BakedIn LLM Prompt Engineering

    Pairs to S-FX-12 + S-FX-16. Prompt patterns, structured outputs, eval-as-test, RAG augmentation. Backed by the Proof assertion library.

  • BakedIn Rapid LLM Application Dev

    Pairs to S-FX-26. LLM-driven application development. This site is the artifact.

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.

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