AWS, Microsoft, or Google Cloud? Comparing the Big Three’s Entry-Level AI Certifications (2026)


The three big cloud providers — AWS, Microsoft, and Google Cloud — each now offer an entry-level AI certification aimed at people taking their first structured step into AI. They look similar at a glance: multiple-choice exams, no hard prerequisites, roughly the same price range. But the exams test different things and assume different audiences. This guide compares the three based on what each company's official pages state, and gives you a practical way to choose.

The three certifications at a glance

  • AWS Certified AI Practitioner (exam code AIF-C01) — 100 USD, 90 minutes, 65 questions, delivered at Pearson VUE test centers or online proctored. The certification is valid for 3 years.
  • Microsoft Certified: Azure AI Fundamentals (exam AI-901) — pricing varies by country or region. The exam content was updated in April 2026, and it is available in a long list of languages.
  • Google Cloud Certified: Generative AI Leader — 99 USD plus applicable tax, 90 minutes, 50–60 multiple-choice questions, no prerequisites, valid for 3 years.

Exam fees and content change over time, so always confirm the current details on the official certification page before you register.

What each exam actually tests

AWS Certified AI Practitioner covers AI, machine learning, and generative AI fundamentals with an AWS lens: which AWS services fit which use cases, plus responsible-AI concepts. AWS recommends that people new to cloud computing start with its foundational cloud courses first, so expect some baseline cloud vocabulary.

Azure AI Fundamentals walks through the classic AI building blocks — machine learning, computer vision, natural language processing — as they appear in Azure services. If your workplace runs on Microsoft 365 and Azure, what you study maps directly onto tools you will actually touch.

Generative AI Leader is the most business-oriented of the three. It focuses on generative AI fundamentals, techniques for improving model output, and business strategy for AI adoption rather than hands-on implementation. Google explicitly positions it for "anyone in any job role," with or without technical experience.

Four criteria for choosing

There is no single best option — the right pick depends on your situation. Use these four questions:

  • Which cloud does your employer use? This is the most practical tiebreaker. A certification tied to the platform you see at work pays off immediately in day-to-day conversations.
  • What is your role? Engineers and aspiring technical staff get more from AWS or Azure tracks; managers, analysts, and business roles will find Generative AI Leader more directly relevant.
  • Language and logistics. Available exam languages and online-proctoring options differ by certification. Check the official page before you commit.
  • Renewal burden. AWS and Google Cloud certifications expire after 3 years and require recertification. If you want a credential that stays on your resume, factor in the renewal cycle.

How they fit alongside vendor-neutral options

Cloud vendor certifications prove you can work with one platform's AI stack. Vendor-neutral certificates and university-backed credentials prove general AI literacy. They answer different questions, so many people sensibly combine one of each: a broad AI literacy credential plus the certification for whichever cloud their employer runs.

Before you pay: honest caveats

An entry-level certification is a learning roadmap, not a job guarantee. Hiring managers typically weigh it alongside hands-on projects and experience, and a certificate alone rarely moves a salary. Also check whether your employer's education benefits or a free training program can cover the cost before paying out of pocket — foundational exam vouchers are a common perk.

Frequently asked questions

Can non-technical people pass these exams?

All three are entry-level by design. Google Cloud's Generative AI Leader explicitly targets non-technical roles. AWS suggests foundational cloud training first if you are new to cloud computing, so budget extra study time there.

If I can only take one, which should it be?

Match your employer's cloud if you have one. If you don't, choose by role: business-side roles lean toward Generative AI Leader, while technically-inclined learners should pick the cloud they most want to build on.

What happens when the certification expires?

AWS and Google Cloud certifications are valid for 3 years and can be renewed, typically by passing the current version of the exam or a qualifying higher-level exam. For Microsoft fundamentals credentials, check the official page for the current renewal policy.

Related on AI Learning Lab: Are AI Certifications Worth It in 2026? A Practical ROI Test · 7 Best Free AI Certifications Worth Getting in 2026 · How Much Does It Cost to Learn AI in 2026?

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