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Program comparison

NVIDIA NCA-GENL vs AWS AI Practitioner: technical scope or business foundations?

For a developer choosing a first generative AI credential

Start with the knowledge you need to demonstrate. These entry-level credentials cover different work contexts, and their exam durations do not tell you how much preparation you will need.

Facts side by side

Swipe or scroll the table to compare both programs.

Price and duration retain their stated scope.
FactNVIDIA-Certified Associate: Generative AI LLMs (NCA-GENL)AWS Certified AI Practitioner (AIF-C01)
PriceUSD 125 (US price: USD 125 for one exam attempt; confirm booking charges. Optional preparation and additional attempts are not included.)Official source · checked USD 100 (One initial exam attempt; check applicable regional pricing and taxes. Optional preparation and retakes are not included.)Official source · checked
Duration60 minutesOfficial source · checked 90 minutes (exam only; not preparation time)Official source · checked
LevelAssociateOfficial source · checked FoundationalOfficial source · checked
CredentialNVIDIA Certification with digital badge and optional certificateOfficial source · checked AWS CertificationOfficial source · checked
FormatOnline, remotely proctored certification examOfficial source · checked Certification exam; Pearson VUE test center or online proctoredOfficial source · checked
PrerequisitesBasic understanding of generative AI and large language models.Official source · checked AWS describes familiarity with AI/ML on AWS and up to six months of exposure as the target candidate profile, not a mandatory experience duration. Candidates must be at least 13; ages 13–17 require parent or guardian consent.Official source · checked

Provider-listed modules and exam domains

NVIDIA-Certified Associate: Generative AI LLMs (NCA-GENL)

  • Fundamentals of machine learning and neural networks — Exam domain / not a course module · Source
  • Prompt engineering — Exam domain / not a course module · Source
  • Alignment — Exam domain / not a course module · Source
  • Data analysis and visualization — Exam domain / not a course module · Source
  • Experimentation — Exam domain / not a course module · Source
  • Data preprocessing and feature engineering — Exam domain / not a course module · Source
  • Experiment design — Exam domain / not a course module · Source
  • Software development — Exam domain / not a course module · Source
  • Python libraries for LLMs — Exam domain / not a course module · Source
  • LLM integration and deployment — Exam domain / not a course module · Source

AWS Certified AI Practitioner (AIF-C01)

  • Fundamentals of AI and ML — Exam domain / not a course module · Source
  • Fundamentals of GenAI — Exam domain / not a course module · Source
  • Applications of Foundation Models — Exam domain / not a course module · Source
  • Guidelines for Responsible AI — Exam domain / not a course module · Source
  • Security, Compliance, and Governance for AI Solutions — Exam domain / not a course module · Source

What the credentials are

NVIDIA-Certified Associate: Generative AI LLMs (NCA-GENL)

Credential type
NVIDIA Certification with digital badge and optional certificate · Source
Credential
NCA Generative AI LLMs · Source
Issuer
NVIDIA · Source
Sharing
Credentials can be shared on LinkedIn, professional social channels and email signatures; digital certificates can be downloaded and printed. Accept the Credly badge after notification. · Source
Expiry and renewal
Valid for two years from issuance. Recertification is available by retaking the exam. · Source
Exam requirement
Pass the exam; digital badge and optional certificate indicate certification level and topic. · Source

AWS Certified AI Practitioner (AIF-C01)

Credential type
AWS Certification · Source
Credential
AWS Certified AI Practitioner · Source Source Source
Issuer
AWS Training and Certification · Source
Sharing
Verifiable Credly digital badge that can be shared on social profiles, websites, and email signatures. · Source
Expiry and renewal
Valid for three years. Before expiry, pass the latest version of the exam or earn AWS Certified Machine Learning Engineer - Associate to recertify. · Source
Exam requirement
Pass AIF-C01; minimum passing scaled score 700 on a 100–1000 scale. · Source Source

Cost for the stated scope

NVIDIA-Certified Associate: Generative AI LLMs (NCA-GENL)

Estimate for the stated payment scope: USD 125 × 1 = USD 125.

  • One initial NCA-GENL exam attempt: USD 125 × 1 = USD 125. One exam registration; not total preparation cost or a guarantee of passing. · Source

Scope: USD 125 × 1 = USD 125 for one initial exam attempt. Additional attempts and optional preparation are not included. · Source

AWS Certified AI Practitioner (AIF-C01)

Estimate for the stated payment scope: USD 100 × 1 = USD 100.

  • One initial AIF-C01 exam attempt: USD 100 × 1 = USD 100. One exam registration; not a guarantee of passing or complete preparation cost. · Source

Scope: One attempt: USD100 × 1 = USD100, before applicable taxes and optional preparation. Retakes are not assumed necessary. · Source Source

Retakes: AWS FAQ requires full registration fee each retake and 14 days after failure; current exam fee is USD100. Conditional one-retake scenario: USD100 + USD100 = USD200 before applicable taxes and optional preparation. · Source Source

Who should skip these options

AWS Certified AI Practitioner (AIF-C01)

  • Skip it if you need an assessment of developing or coding AI/ML models: those tasks are explicitly outside the exam's scope. · Source
  • Skip it if you need an assessment of model tuning or deploying AI/ML pipelines: the exam guide excludes both. · Source
  • Skip it if your goal is to demonstrate implementation of security, compliance, or governance controls; the exam covers concepts but excludes those implementation tasks. · Source

Compare the objectives with your actual work

NVIDIA NCA-GENL focuses on foundational concepts for developing, integrating, and maintaining generative AI applications using NVIDIA solutions. Its listed topics include Python libraries for large language models, software development, experimentation, and LLM integration and deployment. We would consider it when those technical topics are relevant to your role, while recognizing that an entry-level exam is not a substitute for showing what you can build.

AWS AI Practitioner focuses on foundational AI knowledge and practical business applications in an AWS setting. Its guide describes a candidate who uses but does not necessarily build AI and machine learning solutions. The syllabus covers AI and machine learning fundamentals, generative AI, foundation-model applications, responsible AI, and security, compliance, and governance. It is the more directly aligned option when your immediate goal is to discuss suitable AWS AI technologies and their responsible use.

Distinguish coverage from hands-on proof

AWS explicitly excludes coding models, implementing feature engineering, tuning models, and building or deploying AI pipelines. NVIDIA includes several related technical areas in its topic list. That is a meaningful difference in syllabus coverage, not evidence that the NVIDIA assessment requires a production project. If employers or clients need implementation evidence, plan a separate way to demonstrate that work rather than relying on either certification title alone.

Before choosing, mark the objectives you already understand and those you would need to study. NVIDIA lists basic understanding of generative AI and LLMs as a prerequisite. AWS recommends familiarity with its core services, shared responsibility model, access management, and service pricing. Vendor familiarity and your existing knowledge matter more to a preparation plan than the word associate or practitioner in the title.

Budget for the exam and future maintenance separately

US exam fees are USD 125 for NVIDIA and USD 100 for AWS. NVIDIA lists a one-hour exam; AWS lists 90 minutes. Confirm final booking charges before paying. These durations describe the assessments, not learning time. Neither headline fee establishes a total budget that includes optional training or additional attempts.

NVIDIA states two-year validity, with recertification by retaking the exam. AWS states three-year validity and allows recertification through its latest exam or by earning AWS Certified Machine Learning Engineer - Associate before expiry. Consider whether maintaining the credential fits your expected work, not just whether the first exam is convenient.

Which to choose if…

NVIDIA-Certified Associate: Generative AI LLMs (NCA-GENL)

Choose NVIDIA NCA-GENL if you want coverage of LLM software development, experimentation, and integration or deployment concepts using NVIDIA solutions.

AWS Certified AI Practitioner (AIF-C01)

Choose AWS AI Practitioner if you want foundational AWS AI knowledge for business use cases and responsible adoption rather than an assessment of model implementation.

Alternatives in the registry

Related by topic or level.

Official pages and editorial sources

Editorial checked . No commercial relationship is documented for this comparison.

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