A certification mentioned on this page has been retired. Microsoft Certified: Azure AI Engineer Associate (AI-102) is no longer available to take. Microsoft reports the retirement date as 2026-06-30. The replacement is Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103). Read any reference below as historical, not as advice to take this retired exam. Check the successor's current requirements before planning your preparation.
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Quick answer
One question settles this comparison for most people: which cloud does your employer — or the employer you want — actually run? Certify that one. If you are genuinely neutral, Azure AI Fundamentals (AI-900) is the gentler and cheaper on-ramp (check the provider's current pricing versus check the provider's current pricing), while the AWS Certified AI Practitioner (AIF-C01) covers generative-AI and foundation-model topics more broadly. Both are foundational, both are proctored, and neither requires writing a line of code.
Where we would start
If this comparison sends you to the AWS side, timed papers are the cheapest thing that moves your pass odds. There is deliberately no Azure equivalent here: AI-900 preparation is genuinely free on Microsoft Learn, and we are not going to sell you an alternative to free.
The table below compares 2 certifications on provider, level, realistic time, coding needed and best for.
| Certification | Provider | Level | Realistic time | Coding needed | Best for |
|---|---|---|---|---|---|
| AWS Certified AI Practitioner (AIF-C01) | AWS | Foundational | ~4–6 weeks of prep | No | AWS-stack workplaces; broader generative-AI scope |
| Azure AI Fundamentals (AI-900) | Microsoft | Foundational | ~2–4 weeks of prep | No | Microsoft-stack workplaces; the gentler first exam |
Which exam should you take?
Match the exam to the cloud you will actually touch. These are vendor credentials — their value is highest inside environments that run that vendor's stack, and close to zero as abstract knowledge badges. Check what your employer or target job runs; job adverts state it plainly, and so does your IT department.
If you have no stack signal at all — career changers, students, generalists — take AI-900. It is the shorter preparation, the lower fee, and the gentler exam, which makes it the better first proctored experience. Our guide to the easiest respected AI certifications rates it the most accessible proctored credential in the field. If your interest is specifically generative AI workloads, the AWS exam's scope is closer to that work — see our AWS AI Practitioner review for the full breakdown.
What does each exam actually cover?
The published exam guides split cleanly:
- Azure AI-900 — AI workloads and considerations, machine-learning principles on Azure, computer vision, natural language processing, and generative AI on Azure. Azure-service names feature heavily: you are learning Microsoft's map of AI as much as AI itself.
- AWS AIF-C01 — fundamentals of AI and ML, fundamentals of generative AI, applications of foundation models, responsible AI, and security/compliance/governance for AI workloads. Noticeably more scenario- and governance-flavoured.
The overlap is real — both cover core AI concepts and responsible use — but the AWS exam devotes more of its blueprint to generative AI and foundation-model application patterns, while AI-900 spends more time naming Azure services and classic cognitive workloads.
Which exam is harder?
AIF-C01, modestly. It has broader scope, more scenario-style questions, and more governance material, which is why our prep estimate runs four to six weeks against two to four for AI-900. Neither requires coding, and neither approaches associate-level difficulty. Learners consistently report that AI-900 is passable from the free study path alone, while the AWS exam punishes anyone who skips the foundation-model application material.
Do not let 'harder' translate to 'better' in your head. Both are foundational stamps; difficulty at this level buys no extra market weight — the employer's stack does. Our analysis of whether AI certifications are worth it covers why context beats rigour at the entry tier.
Not sure this is the right one for you?
Answer a few questions about your background and what you want the certificate to do, and the picker narrows it to one recommendation — from the same vetted list this page ranks from.
Try the AI Certification Picker →What do they cost — and do they expire?
Fees: whatever the provider currently lists for Azure, (check the provider's current pricing) for AWS — historically the Azure fundamentals exam has been the cheaper of the two, but confirm both before booking. Retake and voucher policies differ by region (see the provider's page for current details).
Expiry differs and matters: Microsoft's fundamentals certifications do not expire, while AWS certifications operate on a recertification cycle (see the provider's page for current details). If you want a set-and-forget line on your CV, that difference favours AI-900.
Which carries more weight with employers?
Whichever matches the hiring team's stack — there is no absolute winner. In a Microsoft shop, AI-900 reads as directly relevant and AIF-C01 reads as generic initiative; reverse the shop and the reading reverses. Recruiters at cloud-partner consultancies filter by the exact certification names their practice sells against, which is the strongest version of the stack rule.
Two honest caveats. First, both are entry stamps — they open conversations, not roles; the associate tier (AI-103 on Azure, or deeper AWS credentials) is where technical hiring managers start paying attention. Second, if the role is non-technical, the proctored format itself is most of the signal — a verified, closed-book exam outweighs a course completion certificate of similar scope, a point our ranking of the top AI certifications weighs explicitly.
How should you prepare — and can you do it free?
Both vendors publish free official study paths. Microsoft Learn's AI-900 path covers the full exam outline at no cost, and AWS Skill Builder carries free AIF-C01 preparation content. For most readers the free path plus one set of practice questions is enough at this level — the paid bootcamps sold against these exams are rarely worth it, as our roundup of free AI certifications argues.
- AI-900: work the Microsoft Learn path end to end, then sit the free practice assessment until you clear it comfortably.
- AIF-C01: complete the Skill Builder plan, and give the foundation-model application domain double time — it is where unprepared candidates fail.
Should anyone take both?
Rarely. Consultants, MSP staff and freelancers who genuinely straddle client clouds get real value from holding both names. Everyone else should spend the second exam's prep hours going deeper instead: an associate-level credential on your primary cloud — see our AI-900 vs AI-102 guide for what that step involves — or an applied project. Data-platform readers weighing the deeper path should start from our data engineers' guide.
If speed is your constraint rather than depth — an interview this month, a review cycle closing — our guide to the fastest AI certifications sequences the quickest credible options, and AI-900 features prominently.
Where cloud-exam comparisons go wrong
Most of them rank the two exams in a vacuum — difficulty scores, question counts, pass rates — as if the credential's value were intrinsic. It is not. A cloud fundamentals certificate is a context-dependent asset: AIF-C01 in an Azure shop is trivia; AI-900 in an AWS shop is trivia. The ranking that matters is written in your employer's infrastructure bill, not in a listicle.
The second failure is the fundamentals-collection trap. Some advice recommends sweeping all three clouds' entry exams 'for breadth'. That is three exam fees and three prep cycles for three versions of the same introductory material — busy-work that signals indecision rather than initiative. Take one fundamentals exam, then go deeper or go applied; our three-cloud comparison makes the full case, and no-code readers can sanity-check the landscape in our no-coding guide.
Verdict
Certify the cloud you will touch: AI-900 in Microsoft environments, AWS AI Practitioner in AWS environments. With no stack signal, take AI-900 — cheaper, gentler, and it never expires — and treat AIF-C01 as the pick when generative-AI scope matters more than ease. Neither is a destination: plan the next step up your chosen stack, or across to applied work, using our AI certification roadmap. Still torn between clouds? Our free Picker tool matches you in a few questions.
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Frequently asked questions
Is AWS AI Practitioner harder than Azure AI-900?
Modestly, yes. AIF-C01 covers more ground — especially generative-AI application and governance scenarios — and typically needs four to six weeks of part-time preparation against two to four for AI-900. Neither requires coding, and both sit well below associate-level difficulty. Learners consistently report AI-900 as the gentler first proctored exam.
The extra ground on AIF-C01 is mostly the generative and governance material, which is the more current of the two syllabuses. That makes it the better exam if the content matters to you and the harder one if the certificate is the point — a real trade rather than a ranking. Someone whose organisation is deploying LLM features will find that section immediately useful; someone taking a first proctored exam for the experience will not.
Which is cheaper, AIF-C01 or AI-900?
Historically the Azure fundamentals exam has carried the lower fee, but both vendors adjust pricing and regional rates vary — check the official exam pages before booking. Free official preparation exists for both, so the exam fee should be your only cost at this level.
Because preparation is free on both sides, the fee is the whole price and a voucher removes it entirely. Both vendors periodically issue them through their own events, virtual training days and partner programmes, and employers frequently hold unused ones nobody has claimed. Ask internally before paying; at this tier that single question is worth more than any comparison of the two list prices.
Do AWS and Azure AI certifications expire?
They differ. Microsoft fundamentals certifications such as AI-900 do not expire, while AWS runs a recertification cycle on its credentials (see the provider's page for current details). If long-term validity without maintenance matters to you, that difference favours the Azure exam.
Read that difference carefully rather than treating non-expiry as a straight win, though. A credential that never lapses is a statement about what you knew on one day, and a reader weighs it accordingly; a renewed one says you were current this year. Non-expiry is genuinely convenient at the fundamentals tier, where nobody expects the certificate to prove current capability anyway — it matters far less than it sounds.
Can I take both AWS AI Practitioner and AI-900?
You can, but few people should. The material overlaps heavily at the concept layer, so the second exam mostly buys a duplicate stamp. Consultants and managed-service staff who work across both clouds are the exception; everyone else gets more from one fundamentals exam plus an associate-level step or an applied project.
Two fundamentals certificates also read a particular way to a hiring manager: as someone who enjoys starting. One foundational exam plus evidence of applying it, or plus a harder exam, describes a direction; two at the same tier from different vendors describes a habit. The exception is genuine — consultants are asked which clouds they cover — and it is narrow.
Which should a beginner take first?
AI-900, unless your target employer runs AWS. It is the shorter prep, the lower fee and the gentler exam format, which makes it the best first experience of proctored certification. Complete beginners should do a short no-code course first — Google AI Essentials or Elements of AI — so the exam vocabulary lands on familiar ground.
“Unless your target employer runs AWS” should override everything else in that answer, including the difficulty. A credential on the platform you will actually work with converts into conversations, project assignments and credibility; the gentler exam on the other vendor's stack converts into a line nobody follows up. Find out what your organisation runs before you book anything.
Keeping this current. Course formats, prices, and certification exam fees change and vary by region. We review our guides regularly — this one was last updated in July 2026 — and we always recommend confirming the specifics on the provider's official page before you enrol.