Program comparison
NVIDIA Generative AI LLM Associate vs. Databricks Certified Generative AI Engineer Associate
NVIDIA NCA-GENL vs Databricks Generative AI Engineer Associate: compare exam scope, assessment, time, US exam cost and renewal.
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Both of these certifications validate essential skills for building and deploying generative AI applications at the associate level, but they fundamentally target different platforms and professional focuses. This page directly compares the examination scope, assessment mechanisms, exam durations, listed costs, and continuous renewal policies for each. Facts were observed in the United States on 11 October 2026.
Choose NVIDIA if you are primarily looking to validate foundational concepts for developing, integrating, and maintaining AI driven applications using generative AI and large language models with NVIDIA solutions.
Choose Databricks if you specifically want to design and implement applied generative AI solutions, such as building and deploying performant retrieval augmented generation applications and large language model chains using Databricks native tools.
At a Glance
| Feature | NVIDIA Generative AI LLM Associate | Databricks Certified Generative AI Engineer Associate |
|---|---|---|
| Level & Platform | Associate level, NVIDIA | Associate level, Databricks |
| Assessment | Certification exam (50 to 60 questions) | Proctored certification exam (45 scored questions) |
| Exam Duration | 1 hour (exam time) | 90 minutes (exam time limit) |
| Cost | USD 125 (exam fee) | USD 200 (registration fee) |
| Validity and renewal | 2 years | 2 years |
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Scope and Focus
These credentials represent distinct approaches to generative AI.
The NVIDIA Generative AI LLM Associate[1] validates the foundational concepts for developing, integrating, and maintaining AI driven applications using generative AI and large language models with NVIDIA solutions. The credential focuses heavily on core models and practical integrations.
The Databricks Certified Generative AI Engineer Associate[2] assesses the ability to design and implement LLM enabled solutions using Databricks. This includes choosing appropriate models and tools from the generative AI landscape to build and deploy performant RAG applications and LLM chains that take full advantage of Databricks and its toolset.
Credential Assessment Mechanism
Both providers use multiple choice certification exams to evaluate candidates and ensure they meet the credential standards.
- NVIDIA: Candidates must pass the NVIDIA Generative AI LLM Certification Exam, which consists of 50 to 60 multiple choice questions.
- Databricks: Candidates must pass a proctored certification exam containing 45 scored multiple choice questions, though exams may include unscored items.
Time Measure
It is important to note that the stated times represent the exam duration, not the expected course or study time. Candidates must finish all test items within these limits.
- NVIDIA: The duration for taking the certification exam is 1 hour.
- Databricks: The time limit for completing the proctored certification exam is 90 minutes.
Cost
- The NVIDIA certification page[1] lists the "Price" at USD 125 (exam fee).
- The Databricks certification page[2] lists a "Registration fee" of USD 200 (registration fee) to take the exam.
Expiry and Renewal
- NVIDIA: This certification is valid for two years from issuance. Recertification may be achieved by retaking the exam.
- Databricks: The validity period is 2 years. Recertification is required every two years to maintain your certified status, which candidates accomplish by taking the current version of the exam.