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This exam has been retired. Exam AI-900: Microsoft Azure AI Fundamentals (Exam AI-900: Microsoft Azure AI Fundamentals) is no longer available to take. It was retired on 2026-06-30. The replacement is Exam AI-901: Microsoft Azure AI Fundamentals, which earns the same Azure AI Fundamentals certification but expects Python and familiarity with REST APIs and SDKs. We have left the material below in place because it is still useful for understanding what the exam covered and how the successor differs, but do not book it — you cannot.
Quick answer
Microsoft Azure AI Fundamentals is still worth it if you work near Azure and want a recognized entry-level credential quickly, but the exam behind it has changed: AI-900 was retired on 30 June 2026, and the certification is now earned by passing AI-901, which expects basic Python and puts 55–60% of its weight on building with Microsoft Foundry. It remains a fundamentals credential, so it will not qualify you for technical roles on its own; if you want an assessed cloud AI credential with no coding at all, the AWS Certified AI Practitioner is now the closer match.
AI-102 is retired. The replacement is Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103).
This Azure AI Fundamentals review covers the exam’s skill areas — AI-901 now, AI-900 until its retirement — how difficult it really is, how to prepare using free Microsoft resources, whether the certification expires, and how it compares with the AWS and Google entry-level alternatives.
What is the Microsoft Azure AI Fundamentals (now exam AI-901) certification?
Microsoft Azure AI Fundamentals is an entry-level Microsoft certification, earned by passing a single exam — AI-900 until its retirement on 30 June 2026, AI-901 since — that verifies you understand AI concepts, can identify which Azure AI services fit a given scenario and, under AI-901, can build simple solutions with Microsoft Foundry. A certification here means a proctored exam result, not a course completion — the distinction that makes it more visible to recruiters than most coursework.
The table below shows the fee and format of AI-901, as Microsoft publishes them. Every other exam we track is compared on our AI certification exams page.
| Credential | Vendor | Level | Fee | Exam format | Enrol |
|---|---|---|---|---|---|
| Microsoft Certified: Azure AI Fundamentals (AI-901) | Microsoft | Foundational | $99 USD (varies by country/region) | 45 minutes | Microsoft → |
The exam is fundamentals-level with no formal prerequisites, but AI-901 is not code-free the way AI-900 was: Microsoft says candidates need knowledge of Python coding syntax and programming techniques, and should be familiar with Azure resources. Check the official exam page for the current duration, question count, fee and passing score, which Microsoft adjusts over time.
AI-900 was a knowledge exam you could pass without ever deploying anything, which was both its convenience and its limitation. AI-901 is not: more than half of it is implementing AI solutions in Microsoft Foundry — deploying a model, writing system and user prompts, and building a lightweight chat client and a single agent.
What does the Azure AI Fundamentals exam cover?
AI-901 measures two skill areas: identifying AI concepts and capabilities (40–45%) and implementing AI solutions by using Microsoft Foundry (55–60%). The retired AI-900 was organized around describing AI workloads and matching them to Azure services, in five areas that overlap with the concepts half of AI-901:
- AI workloads and responsible AI — identifying common workload types such as prediction, vision, language, document processing, and generative AI, plus Microsoft’s responsible AI principles including fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability.
- Machine learning principles on Azure — regression, classification, and clustering, features and labels, training and validation data, evaluation metrics, and the role of Azure Machine Learning and automated machine learning.
- Computer vision workloads — image classification, object detection, optical character recognition, and facial analysis concepts, mapped to Azure AI Vision capabilities.
- Natural language processing workloads — key phrase extraction, entity recognition, sentiment analysis, language detection, translation, speech to text and text to speech, and conversational language understanding.
- Generative AI workloads — large language models, prompts and completions, tokens, grounding responses in your own data, copilots, and the Azure services used to build generative applications.
Microsoft revises the skills measured periodically, particularly the generative AI portion, so download the current AI-901 study guide from the exam page rather than relying on older summaries.
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AI-900 was one of the easier technology certifications available: no coding, no architecture design and no troubleshooting, and most candidates with any technical exposure passed after focused preparation over a few evenings. AI-901 is harder for anyone who does not program, because it expects Python and more than half of it is hands-on work in Microsoft Foundry.
On the concepts half, the difficulty is in service naming. Questions frequently ask which Azure service suits a scenario, and Microsoft renames and reorganizes AI services regularly, so the main study task is memorizing a current mapping between capability and product name.
Two other traps deserve mention. Responsible AI questions ask you to match a scenario to the correct principle, which requires reading precisely rather than reasoning technically. And machine learning terminology questions distinguish concepts such as features versus labels, or regression versus classification, where careless reading costs marks. Complete beginners should expect real study; see our beginner AI certification picks if you want a gentler conceptual introduction first.
How should you prepare for AI-901?
Prepare with Microsoft’s own free materials first, because they are written against the current skills measured. A sensible sequence:
- Download the study guide from the AI-901 exam page and treat it as your checklist.
- Work through the free Microsoft Learn material the study guide links to. When we checked on 23 September 2026, the certification page itself still said its learning paths were not yet available.
- Spend time in the Azure portal exploring the AI services, even briefly — seeing where things live makes the naming questions much easier.
- Take the official practice assessment, now on Microsoft's AI Skills Navigator (you need to sign in), then review every incorrect answer against the documentation rather than memorizing the question.
- Build the things the study guide lists — deploy a model in the Foundry portal, then a lightweight chat client with the Foundry SDK — because AI-901 examines them rather than just describing them.
Paid courses are optional here. Microsoft's own material is free and written against the skills measured, which is why we list this exam among the credentials where a free study path can be enough — though for AI-901 a non-programmer will need some basic Python first. The only unavoidable cost is the exam fee itself, which varies by country — confirm current pricing on the Microsoft exam page.
Who should take Azure AI Fundamentals, and who should skip it?
Good fit
- Non-engineers in Microsoft-centric organizations — project managers, business analysts, sales engineers, consultants — who need credible AI vocabulary and are willing to learn the basic Python AI-901 now expects.
- IT professionals and administrators adding AI awareness to an existing certification portfolio.
- Career starters who want a real, recruiter-visible credential without a long study commitment.
- Anyone planning to sit AI-103 later — the exam that replaced the retired AI-102 — since the fundamentals exam provides the service map that the harder exam assumes. Our AI-901 vs AI-103 comparison sets the two study guides side by side.
Skip it if
- You already build machine learning systems. The fundamentals exam will teach you nothing and signals a level below your actual skill.
- Your organization runs on AWS or Google Cloud; the equivalent entry-level credential from your own platform is more useful (on Google Cloud, the non-technical Generative AI Leader certification). Compare options in our AWS vs Azure vs Google AI certifications guide.
- You want hands-on ability rather than recognition. A project-based course produces more capability per hour.
- You are aiming directly at an engineering role and can study for AI-103 instead, which covers the same ground at greater depth.
Does the Azure AI Fundamentals certification expire?
Microsoft fundamentals-level certifications, including Azure AI Fundamentals, do not expire, which distinguishes them from role-based certifications such as Azure AI Apps and Agents Developer Associate (AI-103), which Microsoft says expire annually unless renewed through a free online assessment. Once earned — through AI-900 before its retirement or AI-901 now — Azure AI Fundamentals stays on your profile.
That permanence is a mixed blessing. The certification does not lapse, but the knowledge behind it does, because Azure AI services change names and capabilities frequently. A credential earned several years ago says little about your familiarity with the current portfolio.
Practical advice: treat the certification — especially one earned through AI-900 — as a dated snapshot and keep a current example of your own AI work alongside it. Microsoft publishes renewal requirements per certification, so verify the details for any credential you hold on the official certification page.
How does Azure AI Fundamentals compare with other entry-level AI certifications?
The table below compares 6 certifications on type, best for and main trade-off. The first row is a course from our affiliate partners that we chose for this page.
| Certification | Type | Best for | Main trade-off | Enrol |
|---|---|---|---|---|
| Ultimate AWS Certified AI Practitioner AIF-C01 | Coursework | Learning for AWS AI Practitioner, the no-code exam still open | AWS's services, not Azure's; the credential needs AWS's own exam | Udemy → |
| Microsoft Certified: Azure AI Fundamentals (AI-901, formerly AI-900) | Fundamentals exam | Azure-aligned professionals wanting fast recognition | Now expects basic Python; over half the exam is hands-on Microsoft Foundry work | |
| AWS Certified AI Practitioner | Foundational exam | AWS-oriented teams and roles | Non-technical; AWS-specific framing | |
| Google Cloud Generative AI Leader | Business-level exam | Strategy and adoption roles on Google Cloud | Generative AI focus; less classical machine learning | Google Cloud → |
| Microsoft Certified: Azure AI Engineer Associate (AI-102) | Associate exam | Engineers building AI solutions on Azure | Substantially harder; assumes development skill | Retired · AI-103 → |
| Google AI Essentials | Coursework certificate | Everyday workplace AI productivity | Not a certification; no exam verification | Coursera → |
If you want the credential and the practical engineering skill, the efficient combination is Azure AI Fundamentals for recognition plus a hands-on program such as the Microsoft AI & ML Engineering Professional Certificate for capability. On other platforms, the parallel starting point is the AWS Certified AI Practitioner, listed on the AWS certification site.
What is Azure AI Fundamentals actually worth for your career?
Azure AI Fundamentals is worth roughly what a fundamentals certification should be worth: it gets you past keyword filters, demonstrates initiative, and gives you accurate vocabulary. It does not imply you can build anything.
It performs best in specific contexts. Consultants and pre-sales staff benefit because client conversations require confident service knowledge. Analysts and project managers benefit because they can scope AI work more sensibly. Job seekers in Microsoft-heavy markets benefit because recruiters search for it by name.
It performs worst as evidence for technical hiring. For engineering roles, interviewers move quickly to code, data, and design questions where a fundamentals exam offers nothing. The honest framing on a resume is as AI literacy, with your projects carrying the technical claim.
Azure AI Fundamentals review: the verdict
Azure AI Fundamentals is recommended for early-career professionals in Azure environments who want a legitimate, recruiter-recognized credential without a long commitment, especially since Microsoft's preparation material is free and the certification does not expire. Non-engineers should know that its exam is now AI-901, which expects basic Python; if you want an assessed credential with no coding at all, the AWS Certified AI Practitioner is the closer match, and our AWS AI Practitioner vs Azure AI Fundamentals comparison covers the trade.
It is not recommended for experienced practitioners, for anyone working primarily on AWS or Google Cloud, or for candidates who need demonstrated building skill. If you are already comfortable with AI concepts and want a credential that carries real technical weight, prepare for AI-103 instead and skip this tier entirely.
Certifications featured in this guide
Every option below is one we cover in depth. Each link goes to the provider’s own page; where we’ve published a full review, read that first.
Frequently asked questions
Is AI-900 worth it in 2026?
AI-900 itself cannot be taken any more: Microsoft retired it on 30 June 2026, and Azure AI Fundamentals is now earned through AI-901. The credential is still worth it for early-career professionals in Microsoft environments — its study guide and practice assessment are free, it is permanently valid, and it is searchable by recruiters filtering on Microsoft credentials.
Be aware that AI-901 expects basic Python and puts 55–60% of its weight on building with Microsoft Foundry, so it is no longer the no-code option it was; a non-technical candidate who wants an assessed credential without code should look at the AWS Certified AI Practitioner or Microsoft’s AI Business Professional (AB-730). It is not worth it for working developers, who are better served by the associate tier or by something they can show.
The permanence matters more than it sounds. Microsoft fundamentals certifications do not expire, so unlike the associate and professional tiers there is no recurring renewal cost — you pass once and hold it. That changes the arithmetic for anyone weighing it against a credential they would have to keep alive.
How long does it take to prepare for AI-900?
Microsoft publishes no study time for AI-901, the exam that replaced AI-900 on 30 June 2026. Candidates who already write some Python and have used Azure will need least, working from Microsoft's study guide and the official practice assessment; complete beginners should plan for considerably longer, because AI-901 adds basic Python and hands-on Foundry work to the vocabulary.
The practice assessment is the useful signal. Consistent comfortable passes on it mean you are ready; scraping through means you have memorised those questions rather than learned the material, which the real exam will find out.
Spend the time on the service map rather than on concepts. Knowing what a language model does is the easy half; knowing which Azure service Microsoft would have you reach for in a described scenario is what the questions actually turn on, and it is the part that rewards repetition.
Do I need coding experience for AI-900?
For AI-900, no — but AI-900 was retired on 30 June 2026. Its replacement, AI-901, does expect it: Microsoft says candidates need knowledge of Python coding syntax and programming techniques and should be familiar with Azure resources, and more than half the exam is implementing solutions in Microsoft Foundry — deploying a model, writing prompts, building a lightweight chat client and a single agent.
If you want an assessed cloud AI credential with no code at all, the AWS Certified AI Practitioner is the closer match now; Microsoft’s no-code exam, the AI Business Professional (AB-730), tests using Microsoft 365 Copilot rather than cloud AI services.
The concepts half is still about vocabulary, not difficulty: knowing which Azure service addresses which described need, and that is a naming decision Microsoft made rather than something you can reason out. Drill the product map and the rest follows.
Should I take Azure AI Fundamentals or go straight to the associate tier?
Go straight to the associate tier if you are a developer with Azure experience — it covers the same landscape in far greater depth and carries more weight with technical interviewers. Take the fundamentals exam (now AI-901, which expects basic Python) first if you are new enough to Azure that the fundamentals are not already familiar; if you are non-technical and want no code at all, the AWS AI Practitioner fits better, or, in a Microsoft 365 workplace, Microsoft’s AI Business Professional (AB-730), which Microsoft says requires no coding.
One thing has changed since this comparison was first worth making. The associate credential used to be AI-102; Microsoft has retired it, and names Azure AI Apps and Agents Developer Associate (AI-103) as the replacement.
Check AI-103's own exam guide rather than assuming it maps onto AI-102. The scope moved toward AI apps and agents, and we have not yet reviewed the new syllabus — so treat the general advice here (developers skip fundamentals, non-developers do not) as sound, and the specific prerequisites as something to verify at the source.
Are there free resources to study for AI-900?
Yes. Microsoft's study guide for AI-901, the exam that replaced AI-900, is free, and the official practice assessment is on Microsoft's AI Skills Navigator (sign-in required). When we checked on 23 September 2026 the certification page still said its learning paths were not yet available, so check what is listed before you plan around it.
Because they come from the exam's author, they are aligned with the skills outline in a way no third-party course can guarantee. Paid courses for this exam are competing against free material written by the people who set the questions.
Add a free Azure account: AI-901 asks you to deploy a model and build a small client in Microsoft Foundry, so practising there is part of the preparation — and the only unavoidable cost remains the exam fee itself.
Does AI-900 include generative AI?
AI-900 did, as an explicit skill area: large language models, prompts and completions, tokens, grounding responses in your own data, copilots, and the Azure services involved. AI-901, which replaced it on 30 June 2026, goes further — generative and agentic AI are named workloads, and the implementation half is building generative apps and a single agent in Microsoft Foundry.
That is worth knowing because the exam's reputation predates it. AI-900 was once a classical machine-learning fundamentals exam with generative AI bolted on, and guides written before the update still describe it that way.
So the old line that this exam is conceptual only no longer holds: AI-901 expects you to deploy a model and build small generative apps, not just to know what grounding is for. If you want to build retrieval systems in depth, look at the associate tier; as a shared vocabulary plus a first hands-on pass for a team adopting these tools, it is well aimed.
Will Azure AI Fundamentals alone get me an AI job?
No, and it is not designed to. It supports applications for roles where AI awareness is valuable but not central — project management, analysis, consulting, pre-sales — by showing you can hold the conversation credibly.
For technical positions, hiring rests on demonstrated work. A fundamentals certificate says you recognise the concepts; it does not claim you can build anything, and no interviewer will read it as though it does.
Used well, it is a door-opener rather than a qualification: it gets a non-technical candidate past a screen that filters for any Microsoft AI credential, and then the conversation is about what you have actually done. Pair it with one concrete example of AI applied to your own work and it does considerably more than it does alone.
Keeping this current. Course formats, prices, and certification exam fees change and vary by region. We review our guides regularly, and we always recommend confirming the specifics on the provider's official page before you enrol.