Which AI Certification Should You Get? A Plain-English Guide to All 9 (2026)

If you’ve been thinking about an AI certification, you’ve probably noticed there are a lot of them, and the names don’t tell you much. AWS AI Practitioner, NCA-AIIO, AI-901, VCF Administrator. What do those even mean, and which one is right for you?

This guide breaks down the nine main AI and cloud certifications in plain English: what each one covers, who it’s actually for, whether it needs coding, and where to start. No hype, no jargon.

First: should you even get a certification?

A certification is worth it for three reasons. It proves to an employer (or yourself) that you actually understand the material. It can help you move toward an AI or cloud role. And even if you never use the credential, studying for one gives you a structured path through a subject that’s otherwise easy to wander around in aimlessly.

If none of those apply to you, you may not need a cert at all. Plenty of people use AI brilliantly without one. But if any of them resonate, read on.

The beginner tier (no coding required)

These four prove AI literacy without any programming. They’re the best place to start for most people.

AWS AI Practitioner (AIF-C01)

The entry-level AI certification from Amazon Web Services, the largest cloud provider. Covers AI and machine learning concepts, generative AI, and how AWS’s AI services fit together. No coding required. A strong first choice if your workplace uses AWS.

Azure AI Fundamentals (AI-901)

Microsoft’s equivalent entry-level cert. Same idea: foundational AI concepts plus an overview of Microsoft’s AI tools. No coding. Pick this over the AWS one if your company runs on Microsoft.

CompTIA AI Fundamentals

Vendor-neutral, meaning it isn’t tied to any single cloud platform. A good choice if you want to understand AI broadly without committing to one company’s ecosystem, or if you’re not sure which cloud you’ll end up working in.

Google Generative AI Leader

Aimed at managers, leaders, and decision-makers rather than engineers. If you need to talk about AI credibly in meetings, make strategy calls, or lead a team through AI adoption without getting into the technical weeds, this is the one.

The career tier (for AI and cloud roles)

These go deeper and carry more weight with employers hiring for technical positions.

AWS Machine Learning Engineer (MLA-C01)

The step up from AWS AI Practitioner. For people who want to build, train, and deploy machine learning models, not just understand the concepts. Expect this one to assume real technical familiarity.

NVIDIA NCA-GENL

NVIDIA’s generative AI certification. Focused specifically on the generative side: large language models, prompt design, and building generative AI applications. A good fit if generative AI is where your interest lies.

NVIDIA NCA-AIIO

The infrastructure and operations cert. This is about the systems AI actually runs on: GPUs, clusters, and AI data center operations. If you’re drawn to the hardware and operations layer rather than the application layer, this is your track.

The ecosystem tier (for specific environments)

Valuable if you work in one of these specific worlds, niche otherwise.

Oracle OCI AI Foundations (1Z0-1122-25)

Oracle’s foundational AI cert, focused on AI services within Oracle Cloud Infrastructure. Worth it if your company runs on Oracle.

VMware VCP-VCF Administrator (2V0-17.25)

A cloud-infrastructure and virtualization certification for administrators working in VMware environments. Less about AI specifically and more about the cloud foundation underneath it, but increasingly relevant as AI workloads need somewhere to run.

Quick comparison

So which one should you start with?

If you’re not sure, start with AWS AI Practitioner or Azure AI Fundamentals. They’re the most widely recognized, they require no coding, and they give you a foundation you can build on. Choose the one that matches whatever cloud platform your workplace already uses. If your workplace uses neither, AWS is the safe default given its market position.

If you’re a manager or work on the business side, Google Generative AI Leader fits better. If you want to stay vendor-neutral, go with CompTIA AI Fundamentals. And if you’re already technical and aiming at an AI role, skip straight to AWS ML Engineer or one of the NVIDIA certs.

The best way to choose: just try some questions

Reading about certifications only tells you so much. The fastest way to know if one fits is to try a few practice questions and see how the material feels.

Every certification above has a free, no-sign-up practice set with plain-English explanations on every question. Try a few for whichever cert caught your eye, and you’ll know within ten questions whether it’s the right starting point.

When you’re ready to prepare seriously, the full practice platform includes complete question banks, timed mock exams that mirror the real format, spaced-repetition review, and an AI tutor that explains anything you miss, for every cert under one subscription.

HOW TO // AI is not affiliated with or endorsed by AWS, Microsoft, Google, NVIDIA, Oracle, CompTIA, or VMware. All certification names are trademarks of their respective owners, referenced descriptively.