Open curriculum · verified editionContribute on GitHub

PROFESSIONAL CERTIFICATIONS

Certification preparation center

Study by blueprint, practice under time, and repair weak domains. The course teaches engineering; this center translates that competency into the exam format.

Verified · 2026-08-21Official source

AIF-C01

AWS Certified AI Practitioner

65questions86flashcards90minutes

Weighted areas

Fundamentals of AI and ML20%
Fundamentals of Generative AI24%
Applications of Foundation Models28%
Guidelines for Responsible AI14%
Security, Compliance, and Governance14%
Verified · 2026-08-21Official source

NCA-GENL

NVIDIA-Certified Associate: Generative AI LLMs

50questions90flashcards60minutes

Weighted areas

Core Machine Learning and AI Knowledge30%
Software Development24%
Experimentation22%
Data Analysis and Visualization14%
Trustworthy AI10%

METHOD

Prepare without blind memorization

The simulator does not replace concepts. Every miss leads back to an explanation and the part of the course where you can repair the competency.

01

Diagnostic

Take an initial mock exam without notes.

02

Repair

Group misses by domain and return to the related module.

03

Retrieval

Use spaced flashcards to retain distinctions and services.

04

Simulation

Repeat under real timing and require consistency, not one passing score.

Independent, transparent preparation

LLM Engineer Club neither issues nor represents these certifications. AWS and NVIDIA own their marks and exams. Blueprints can change; every edition shows its verification date and official link.