Generative AI Llm

NCA-GENL

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Question Types
Multiple choiceFill in the blankDiagramsCase studies

What's Included

203
Practice Questions
1
Exam Versions
1
Languages
Translation Beta
Jun 1, 2023
Release Date
Aug 11, 2025Last Updated

Complete Exam Package

203 NCA-GENL practice questions with detailed explanations

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Exam Details

Duration60 min
Passing Score70%
Languages English
LevelAssociate
TestingOnline Proctored
Valid For2 years
Release DateJun 1, 2023
Exam Cost$125

What topics are on the NCA-GENL exam?

1

Core Machine Learning and AI Knowledge 30%

1.1
Machine Learning Fundamentals
2 subtopics
1.1.1Neural Network Basics
1.1.2Deep Learning Concepts
Learning Objectives
  • Understand fundamental machine learning and neural network concepts
  • Explain the mathematical foundations of deep learning
  • Identify appropriate architectures for different tasks
1.2
Transformer Architecture and LLMs
2 subtopics
1.2.1Transformer Fundamentals
1.2.2Large Language Model Architectures
Learning Objectives
  • Explain transformer architecture components and their functions
  • Compare different LLM architectures and their use cases
  • Understand how self-supervision improves transformer models
1.3
Generative AI Concepts
2 subtopics
1.3.1Generative Model Types
1.3.2Retrieval-Augmented Generation (RAG)
Learning Objectives
  • Understand different generative AI approaches
  • Implement RAG systems for enhanced accuracy
  • Evaluate generative model performance
Domain Hands-on Skills
Building basic neural networksImplementing transformer modelsCreating RAG pipelines
Common Mistakes to Avoid
  • Confusing encoder-only vs decoder-only architectures
  • Misunderstanding attention mechanism computation
  • Incorrect loss function selection
2

Software Development 24%

3

Experimentation 22%

4

Data Analysis and Visualization 14%

5

Trustworthy AI 10%

How do I earn the Generative AI Llm certification?

Official Pathway Guidance

Track: Generative AI and Large Language Models

Next Steps

Current Level

Alternative Paths

Career Progression

Entry Roles

  • Junior AI Engineer
  • ML Operations Engineer
  • AI Developer
  • Data Scientist (Entry Level)

Mid Level Roles

  • AI/ML Engineer
  • GenAI Solutions Architect
  • LLM Application Developer
  • AI Platform Engineer

Senior Roles

  • Senior AI Architect
  • Principal ML Engineer
  • AI Technical Lead
  • GenAI Practice Lead

Certification Maintenance

  • Recertification Options:
    Retake the NCA-GenL examPass any NVIDIA Professional-level certificationComplete continuing education requirements (when available)

How do I study for the NCA-GENL Exam?

Practice the Generative AI Llm with our Exam Simulator

Free practice questions, exam guides, and real exam‑style explanations in our Planet Cert simulator.

Free Resources

https://developer.nvidia.com/blog/Bloghttps://www.nvidia.com/en-us/ai/Interactive platformhttps://docs.nvidia.com/nemo-framework/user-guide/latest/overview.htmlDocumentationhttps://github.com/NVIDIACode repositories

Community Resources

https://forums.developer.nvidia.com/Forumhttps://www.reddit.com/r/nvidia/Community

What's changed on this exam?

Status: ACTIVE

Technology Coverage

NVIDIA NeMo Framework2.0

Updated content on model customization and deployment

Released: 2024-09-01
NVIDIA Triton Inference Server24.11

New features for LLM-specific optimizations

Released: 2024-11-01
RAPIDS24.10

Enhanced GPU-accelerated data processing capabilities

Released: 2024-10-01
LangChain0.3.0

New integration patterns with NVIDIA tools

Released: 2024-11-15

Industry Trends

Who should take this exam?

Recommended Experience

  • Basic understanding of generative AI and large language models
  • Familiarity with Python programming
  • Understanding of Linux command line
  • Basic knowledge of machine learning concepts

Experience Level: Entry

How do I register & what's the exam fee?

Exam Cost$125 USD
Testing CentersOnline Proctored
Online ProctoringAvailable

How long is the certification valid?

Valid For2 years
Recertification
  • Retake the current exam
  • Pass a higher-level NVIDIA certification exam

What jobs can I get with this?

Career Benefits

  • Industry-recognized certification from NVIDIA
  • Validation of generative AI expertise
  • Enhanced career opportunities in AI/ML
  • Access to NVIDIA certification community
  • Digital badge for professional profiles

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