Do You Need Coding for Microsoft AI Certifications? (2026 Guide)

Last updated: August 2026. Written and fact-checked by the Examinotion team against the official Microsoft Learn skills outlines for each exam.

TL;DR Most Microsoft AI certifications need no coding at all. AB-730, AB-731 and AB-900 are explicitly non-technical, and Microsoft states candidates are not expected to write code. Coding is required only on the developer track: AI-103 and the current AI-901 both require Python, a notable change from the retired AI-900.

Whether you need to code for a Microsoft AI certification is the single biggest question holding non-technical professionals back from booking an exam. The good news is that Microsoft has deliberately built two separate tracks, and most of its AI certifications are designed for people who never touch a line of Python. The trap is that "Fundamentals" no longer automatically means "no code", so the exam you assume is beginner-friendly may not be.

This guide breaks down every current Microsoft AI certification by its official coding requirement, quotes the exact wording from each exam's Microsoft Learn audience profile, and shows you which track fits your background. If you would rather browse the full catalogue first, you can compare every exam side by side.

Do you need coding for Microsoft AI certifications?

No, most Microsoft AI certifications do not require coding. Microsoft splits its AI certifications into a business track that assumes no programming ability and a developer track that does. The business and administration exams, AB-730, AB-731 and AB-900, are explicitly designed for people who do not write code, while the developer exams, AI-103 and AI-901, require Python.

The distinction is not something you have to infer. Each certification publishes an "Audience profile" on its Microsoft Learn study guide that states, in plain language, what the exam expects of you. For the business track, that wording rules coding out. For the developer track, it names the programming language you are expected to know.

Understanding which track an exam belongs to matters before you book, because the two tracks demand completely different preparation. A business professional who signs up for a developer exam expecting multiple-choice recall will meet hands-on coding tasks instead. This guide keeps those tracks clearly separated so you can choose with confidence.

The no-code business track

Three current Microsoft AI certifications are built for non-technical professionals and require no coding whatsoever. These are the exams most Examinotion learners sit, and Microsoft's own audience profiles confirm no programming is expected.

AB-730, Microsoft AI Business Professional, is the clearest example. Its audience profile states that candidates "take advantage of AI to improve daily work, drive business outcomes, and make informed decisions in business contexts, without building AI apps or writing code" [1]. The exam is about using Microsoft 365 Copilot and agents such as Researcher and Analyst effectively, not building them. You can review the full skills outline on the AB-730 exam page or read our AB-730 study guide.

AB-731, Microsoft AI Transformation Leader, is aimed even higher up the organisation. It is designed for business decision-makers responsible for guiding AI adoption, and Microsoft states candidates "are not expected to write any code" [2]. The exam tests strategic vision and the ability to lead AI adoption across teams, not technical implementation. See the AB-731 exam page for the current objectives.

AB-900, Microsoft 365 Copilot and Agent Administration Fundamentals, is an IT-administration exam rather than a business one, but it still requires no coding. Its audience profile lists familiarity with Microsoft 365 admin centres, security and governance concepts, and modern IT management practices [3]. No programming language or scripting skill appears anywhere in the audience profile or the three skill domains. If you administer Microsoft 365, the AB-900 exam page covers what you need.

For all three exams, your existing familiarity with Microsoft 365, business processes or IT administration is the foundation. There is no hidden coding component waiting later in the syllabus.

The Fundamentals trap: AI-901 now needs Python

The most important correction in this guide is that a Fundamentals-tier exam can require coding. AI-901, the current Azure AI Fundamentals certification, explicitly requires Python knowledge, even though the exam it replaced did not. Assuming "Fundamentals equals no code" is the mistake most likely to catch out a non-technical candidate.

The retired AI-900 set the expectation that caught people out. Its audience profile said the exam was "intended for you if you have both technical and non-technical backgrounds" and that "data science and software engineering experience are not required" [4]. AI-900 was genuinely code-free, and it was retired on 30 June 2026.

Its successor, AI-901, changed the rules. The AI-901 audience profile states candidates "need knowledge of Python coding syntax and programming techniques" and should be "familiar with Azure resources" [5]. This is not a token mention. The exam's largest domain, implementing AI solutions with Microsoft Foundry, carries a 55 to 60 per cent weighting and includes hands-on tasks such as building a lightweight chat client using the Foundry SDK. That is code-writing, not code-recognition.

If you are moving from AI-900 to AI-901, or choosing between AI-901 and other options, treat AI-901 as a light developer exam rather than a purely conceptual one. Our AI-900 versus AI-901 comparison and the AI-901 exam page both reflect the current Python requirement.

The low-code builder track

Two Microsoft AI certifications sit between the business and developer tracks. AB-410 and AB-620 require low-code skills, chiefly Power Fx, but do not require a general-purpose programming language such as Python or C#. If you are comfortable building in the Power Platform, these are within reach without traditional coding.

AB-410, Intelligent Applications Builder Associate, targets professionals who "build AI-powered solutions in Microsoft Power Platform by using Microsoft Copilot, natural language prompts, and low-code tools" [6]. Its prerequisites list familiarity with low-code automation including Power Fx, Dataverse modelling and Power Apps development. This is a citizen-developer role, not a software-engineering one, and no named programming language is required.

AB-620, AI Agent Builder Associate, is the more demanding of the two. Microsoft describes the candidate as "a professional developer or advanced builder who builds, extends, and integrates custom agents for enterprise-grade solutions" [7]. The exam expects Power Fx, Microsoft Dataverse, REST APIs and integration patterns. There is no traditional Python or C# requirement, but this is squarely a builder's exam, so treat it as more technical than the business track. The AB-620 exam page has the full objective list.

A useful distinction: Microsoft describes Copilot Studio itself as a "low-code" tool with a "no-code" guided experience for the simplest flows [12]. The AB-620 exam, however, tests the professional-builder side of that tool, not the no-code end-user experience. Do not let the "low-code" label lull you into underestimating AB-620.

The code-required developer track

Two current or recent Microsoft AI certifications explicitly require you to write code in a named programming language. These are genuine developer exams, and preparing for them without programming experience is not realistic.

AI-103, Azure AI Apps and Agents Developer Associate, is the current developer certification and successor to AI-102. Its audience profile states candidates "should have experience developing apps by using Python" and be familiar with general AI, generative AI and Azure services [10]. You can review the objectives on the AI-103 exam page. The exam is built around Microsoft Foundry and hands-on agent development. If you want this credential, our guides on how to pass AI-103 and AI-901 versus AI-103 explain the jump in technical depth.

AI-102, Azure AI Engineer Associate, was the predecessor and set the same expectation. Its audience profile named the languages directly: candidates "have experience developing solutions that use languages such as: Python, C#" [9]. AI-102 was retired on 30 June 2026, and AI-103 now carries its place on the developer track.

For both exams, code is not an optional extra. You are expected to read, write and debug in Python (and previously C#), use REST APIs and SDKs, and deploy solutions on Azure. These sit at the opposite end of the spectrum from AB-730.

Where AB-100 fits

AB-100, Agentic AI Business Solutions Architect, is a special case. Microsoft does not name a programming language in its audience profile, but the exam is an architect-level technical certification, not a non-technical business one. Choosing it because "no language is listed" would be a mistake.

The AB-100 audience profile describes "an accomplished solution architect with expertise in designing and delivering AI-driven business solutions" who is "experienced in creating scalable, secure, and integrated solutions that use multiple Microsoft services" [8]. It expects working knowledge of Dynamics 365, the Power Platform, Copilot Studio, Microsoft Foundry tools and models, plus protocols such as Model Context Protocol and Agent2Agent.

In practice, AB-100 sits above the coding question. You may not write production code in the exam, but you are expected to understand technical architecture deeply enough to design it. Read our AB-100 prerequisites guide or the AB-100 exam page before assuming it is a business-track exam.

Coding requirements by exam: quick reference

The table below summarises the official coding requirement for every current and recently retired Microsoft AI certification, with the key phrase from Microsoft's own audience profile.

What "coding" really means for these exams

For the developer exams, the coding expectation is practical rather than theoretical. AI-103 and AI-901 both centre on Python because that is the primary language of the Azure AI and Microsoft Foundry SDKs. You are not expected to be a computer scientist, but you should be able to read Python, follow SDK documentation, and adapt sample code.

For the business exams, the absence of coding does not mean the absence of skill. Passing AB-730 or AB-731 still requires genuine fluency with how AI tools behave, where they add value, and how to govern them responsibly. Microsoft's 2026 Work Trend Index found that AI users increasingly rank human judgement as the skill that matters most, with 50 per cent citing quality control of AI output and 46 per cent citing critical thinking as the abilities growing in importance [11]. The business track tests exactly that judgement.

That survey, conducted across 20,000 knowledge workers in ten countries including the United Kingdom, also found that 66 per cent of AI users say the technology lets them spend more time on high-value work [11]. The message for non-technical candidates is clear: you do not need to code to build a credible, certifiable AI skill set.

How to choose based on your coding comfort

Match the exam to your background rather than your ambition alone. If you have no coding experience and no wish to acquire it, the business track (AB-730, AB-731, AB-900) gives you recognised Microsoft AI credentials without a single line of code. These are the right starting point for most business professionals.

If you are comfortable in the Power Platform but not in a traditional programming language, the low-code track (AB-410, AB-620) lets you build agents and applications using Power Fx and connectors. This is a natural step up for analysts, power users and Power Platform makers.

If you already write Python, or are willing to learn it, the developer track (AI-901 as a light entry point, then AI-103) opens the deepest and most technical Azure AI credentials. Start with AI-901 to confirm your Python and Azure foundations before committing to AI-103. Our role-based guide to which certification to take first can help you sequence these decisions.

Whichever track fits, you can start preparing with Examinotion's practice tests built around the current official skills outlines.

Frequently Asked Questions

Do you need to know how to code for Microsoft AI certifications?

No, most Microsoft AI certifications need no coding. AB-730, AB-731 and AB-900 are explicitly non-technical, and Microsoft states candidates are not expected to write code. Only the developer exams, AI-103 and the current AI-901, require Python. Choose the business track if you do not code.

Is the AB-730 exam technical?

No, AB-730 is not a technical exam. The Microsoft AI Business Professional certification is designed for people who use AI tools such as Microsoft 365 Copilot to improve their work, and its audience profile explicitly says candidates succeed "without building AI apps or writing code". It tests practical, business-focused judgement, not programming.

Does AI-901 require Python?

Yes, AI-901 requires Python. Unlike the retired AI-900, which needed no coding, the current Azure AI Fundamentals exam states candidates need "knowledge of Python coding syntax and programming techniques". Its largest domain includes hands-on tasks such as building applications with the Microsoft Foundry SDK, so treat AI-901 as a light developer exam.

Which Microsoft AI certification is best for non-technical people?

AB-730, the Microsoft AI Business Professional certification, is the best starting point for non-technical professionals. It requires no coding, focuses on using Microsoft 365 Copilot effectively, and maps directly to everyday business tasks. AB-731 suits leaders guiding AI adoption, and AB-900 suits IT administrators, both without any programming requirement.

Do you need coding for the AI-103 exam?

Yes, AI-103 requires coding. The Azure AI Apps and Agents Developer Associate certification states candidates should "have experience developing apps by using Python". It is a genuine developer exam built around Microsoft Foundry and agent development, so programming experience is essential. If you do not code, choose the business track exams instead.

Is Copilot Studio no-code or low-code?

Microsoft describes Copilot Studio as a low-code tool with a no-code guided experience for the simplest flows. Building basic agents needs no traditional programming. However, the AB-620 certification tests the professional-builder side of Copilot Studio, expecting Power Fx and REST API skills, so the exam is more demanding than casual no-code use.

Conclusion

Coding is the exception, not the rule, across Microsoft's AI certifications. The business track, AB-730, AB-731 and AB-900, is built for professionals who never write code, and Microsoft's own audience profiles confirm it. The low-code track, AB-410 and AB-620, asks for Power Fx rather than Python. Only the developer exams, AI-103 and the current AI-901, genuinely require programming, with AI-901 being the Fundamentals exam most likely to surprise you.

Choose the track that matches your background, and you can earn a recognised Microsoft AI credential whether or not you code. To see every exam, its objectives and its difficulty in one place, browse Examinotion's Microsoft AI exam preparation courses and start practising for the certification that fits you.

Sources

1. AB-730 Microsoft AI Business Professional study guide — Microsoft Learn, accessed 2026-08-24
2. AB-731 Microsoft AI Transformation Leader study guide — Microsoft Learn, accessed 2026-08-24
3. AB-900 Microsoft 365 Copilot and Agent Administration Fundamentals study guide — Microsoft Learn, accessed 2026-08-24
4. AI-900 Azure AI Fundamentals study guide (retired) — Microsoft Learn, accessed 2026-08-24
5. AI-901 Azure AI Fundamentals study guide — Microsoft Learn, accessed 2026-08-24
6. AB-410 Intelligent Applications Builder Associate study guide — Microsoft Learn, accessed 2026-08-24
7. AB-620 AI Agent Builder Associate study guide — Microsoft Learn, accessed 2026-08-24
8. AB-100 Agentic AI Business Solutions Architect study guide — Microsoft Learn, accessed 2026-08-24
9. AI-102 Azure AI Engineer Associate study guide (retired) — Microsoft Learn, accessed 2026-08-24
10. AI-103 Azure AI Apps and Agents Developer Associate study guide — Microsoft Learn, accessed 2026-08-24
11. Agents, Human Agency and the Opportunity for Every Organization: 2026 Work Trend Index — Microsoft WorkLab, accessed 2026-08-24
12. Microsoft Copilot Studio documentation — Microsoft Learn, accessed 2026-08-24