Best Generative AI Certifications

Almost every proctored generative AI certification you can sit in 2026 did not exist three years ago. That matters for two reasons: most "top GenAI certification" lists you will find still recommend exams that have since been retired or renamed, and the credentials that do exist have not yet settled into an obvious pecking order. This article ranks only certifications focused on generative AI and large language models (LLMs) — prompt engineering, retrieval-augmented generation (RAG), foundation models, agents — and tells you which one fits your situation. Broader AI credentials and classic machine learning exams are covered by our separate guides to the best AI certifications in 2026 and the best machine learning certifications.

What counts as a generative AI certification in 2026?

A useful first filter: a certification is a proctored exam with identity verification, delivered under exam conditions. Many popular "GenAI certificates" — Google AI Essentials, DeepLearning.AI specialisations, IBM's Coursera professional certificates — are course-completion certificates, not proctored credentials. They can be worth doing for the learning, but they carry different weight on a CV, and this ranking excludes them. Every credential below is a real, proctored certification.

The second filter is scope. AWS, Microsoft and Google all now weave generative AI into their general AI exams, but the certifications ranked here make GenAI and LLM work the core of the exam, not a domain within it.

The generative AI certifications worth considering

AWS Certified Generative AI Developer – Professional (AIP-C01)

This is the heavyweight of the group. Launched by AWS with a beta that ran through March 2026 and open for standard registration since March 2026, AIP-C01 is a Professional-level certification validating that you can integrate foundation models into production applications: RAG architectures, vector databases, and generative AI workloads on AWS, including Amazon Bedrock and its AgentCore capability, which the exam was refreshed to include.

Key facts: the standard exam costs $300 USD (regional pricing varies), the certification is valid for three years, and there are no formal prerequisites — though AWS recommends around two years of cloud experience and at least a year of hands-on generative AI work. Secondary sources report 65 scored plus 10 unscored questions and a 750 scaled passing score, but treat those figures as widely reported rather than confirmed; check the official AWS exam guide before booking.

Best for: engineers already building on AWS who want the most senior GenAI-specific credential currently available from a major cloud provider.

Databricks Certified Generative AI Engineer Associate

Databricks' entry covers the practical LLM application stack: prompt engineering, RAG, vector search, model serving and governance on the Databricks platform (Mosaic AI). The exam has 45 scored multiple-choice questions in 90 minutes, costs $200 USD per attempt, and is proctored online or at a test centre with no aids permitted. Databricks does not publish a passing score. The credential is valid for two years, after which you retake the then-current exam. No prerequisites are required, but Databricks recommends six or more months of hands-on generative AI experience — and the scenario-based questions reward exactly that.

Best for: data and platform engineers in Databricks shops, or anyone who wants a credential that maps closely to how LLM applications are actually assembled — retrieval, serving, evaluation, governance.

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

NVIDIA's associate-level exam is the quickest proctored route to a GenAI-specific credential: 50–60 multiple-choice questions in one hour, taken online with remote proctoring, at $125 USD. There are no formal prerequisites — NVIDIA suggests a basic understanding of generative AI and LLMs — and the certification lasts two years. Despite persistent blog claims to the contrary, NCA exams are remotely proctored, not honour-system tests. NVIDIA's programme also includes a multimodal generative AI associate exam (NCA-GENM) and an AI infrastructure exam (NCA-AIIO) if you want to go broader later.

Best for: developers, students and career-changers who want an affordable, vendor-respected proof of LLM fundamentals without committing to one cloud platform.

Google Cloud Generative AI Leader

Google's first non-technical generative AI certification — and it is a genuine proctored certification, not a course badge. Expect 50–60 multiple-choice questions in 90 minutes, online- or onsite-proctored, at $99 USD plus tax. No prerequisites, aimed at any job role, valid for three years, and offered in English, Japanese, Spanish and Portuguese. Google does not publish passing scores for its certifications.

Best for: managers, consultants and business-side professionals who need to speak fluently about generative AI capability, risk and adoption. If that describes you, our guide to AI certifications for business professionals compares this against the other non-technical options in more depth.

Salesforce Certified Agentforce Specialist

Formerly the "AI Specialist" exam, renamed when it went live as Certified Agentforce Specialist on 3 March 2025 — existing AI Specialist holders were converted automatically. The content is roughly 70% agent building on Agentforce and 30% prompt engineering, making it one of the few certifications where prompt engineering is an explicitly weighted, examined skill. Format: 60 multiple-choice questions, 105 minutes, proctored. As of 1 January 2026 it costs $200 USD per attempt (the launch-era free promotion ended 31 December 2025), with $100 retakes. Ecosystem sources report a 73% passing score; Salesforce maintains the credential through free Trailhead maintenance modules rather than re-examination.

Best for: Salesforce administrators, consultants and developers whose employers are rolling out Agentforce. Outside the Salesforce ecosystem it carries less transfer value.

Honourable mentions with generative AI weight

Two credentials sit at the boundary of this list. The AWS Certified AI Practitioner (AIF-C01) — 65 questions, 90 minutes, $100 USD, 700 scaled passing score — is a foundational exam covering AI broadly, with substantial generative AI content; it is the natural warm-up if AIP-C01 looks intimidating. On the Microsoft side, exam AI-102 and the Azure AI Engineer Associate certification retired on 30 June 2026; its successor, exam AI-103 leading to the Azure AI Apps and Agents Developer Associate certification, is built around generative AI, multimodal and agentic workloads on Azure AI services and Microsoft Foundry. AI-103 is new enough that Microsoft has not published full exam details, so verify format and pricing on Microsoft Learn before targeting it — but Azure-focused developers should have it on their radar rather than studying for the retired AI-102.

Comparison at a glance

Certification	Level	Cost (USD)	Format	Validity	Best for
AWS Generative AI Developer – Professional (AIP-C01)	Professional	$300	Reported 65 scored + 10 unscored questions (confirm on AWS guide)	3 years	Production GenAI builders on AWS
Databricks GenAI Engineer Associate	Associate	$200	45 scored questions, 90 min	2 years	RAG/LLM application engineers
NVIDIA NCA-GENL	Associate	$125	50–60 questions, 60 min, remote proctored	2 years	Vendor-neutral LLM fundamentals
Google Cloud Generative AI Leader	Non-technical	$99 + tax	50–60 questions, 90 min	3 years	Business and leadership roles
Salesforce Agentforce Specialist	Specialist	$200	60 questions, 105 min	Trailhead maintenance	Salesforce ecosystem professionals
AWS AI Practitioner (AIF-C01)	Foundational	$100	65 questions, 90 min	3 years	GenAI-heavy foundational entry

Prices are US list prices as of August 2026 and vary by country — confirm on each provider's page before booking.