- Status Change: What "AI-102 Requirements" Actually Means in 2026
- Are There Official Prerequisites?
- Who This Certification Assumes You Already Are
- Registration and Exam-Day Requirements
- The Five Domains You Have to Qualify Against
- The Technology Stack You're Expected to Know
- Retake Rules and Annual Renewal
- Building a Realistic Qualification Timeline
- FAQ
- AI-102 retired June 30, 2026 at 11:59 PM Central; AI-103 is now the only way to earn this credential.
- There are no formal prerequisites, but Python and hands-on Azure AI experience are effectively required.
- Exam AI-103 costs $165 USD at standard US pricing, runs 120 minutes, and requires a score of 700 on a 1000-point scale.
- Domain 2, generative AI and agentic solutions, is the heaviest domain at 30-35% of the exam.
Status Change: What "AI-102 Requirements" Actually Means in 2026
If you're researching requirements for "AI-102," the first thing to understand is that the exam itself, Designing and Implementing a Microsoft Azure AI Solution, along with the Microsoft Certified: Azure AI Engineer Associate credential and its renewal assessment, all retired on June 30, 2026 at 11:59 PM Central. After that date, Microsoft stopped offering the exam entirely - it cannot be scheduled, taken, or renewed. Anyone who passed before the retirement date keeps the credential listed in the Active Certifications section of their Microsoft Learn transcript until its printed expiration, but there is no path to earn it fresh or renew it going forward.
The live successor is Exam AI-103, Developing AI Apps and Agents on Azure, which awards Microsoft Certified: Azure AI Apps and Agents Developer Associate. The associated training also moved: the four-day AI-103T00-A course replaced the older AI-102T00 course at the training level. For anyone qualifying in 2026 or later, "AI-102 requirements" functionally means AI-103 requirements - same skill area, same commercial intent, updated exam number and updated content emphasis on generative AI and agent orchestration.
| Attribute | Legacy AI-102 (retired) | Current AI-103 |
|---|---|---|
| Can it still be earned? | No - retired June 30, 2026 | Yes - currently active |
| Renewal path | None after retirement | Free annual online assessment |
| Associated training | AI-102T00 (retired) | AI-103T00-A, four days |
| Core focus | Azure AI services integration | Generative AI, agents, and Azure AI services |
Are There Official Prerequisites?
Microsoft does not enforce any formal prerequisite for this certification. There's no lower-level exam you must pass first, no mandatory course you must complete, and no application or eligibility check before you can register. Anyone who pays the exam fee and books a seat through Pearson VUE - at a physical test center or via online proctoring - can sit the exam.
That said, "no prerequisite" does not mean "no baseline expectation." Microsoft designs the item bank assuming a specific working profile, and candidates who skip that groundwork tend to struggle regardless of how much they study the exam skills outline. If you're unsure whether you're actually ready, the difficulty breakdown for the exam and the data on outcomes are worth reviewing before you commit to a registration date.
Key Takeaway
There's no gatekeeping mechanism stopping you from registering today - the real qualification bar is your practical experience, not a paperwork requirement.
Who This Certification Assumes You Already Are
Microsoft's exam guide describes an audience profile rather than a hard requirement, but treat it as the real prerequisite. The assumed candidate has:
- Application development experience in Python, since sample scenarios and code-completion items assume comfort reading and reasoning about Python code.
- Familiarity with general AI concepts and generative AI patterns - prompting, embeddings, retrieval, and agent behavior aren't explained from scratch on the exam.
- Working exposure to Azure services generally, including how resources are provisioned, secured, and monitored inside a subscription.
If you're coming from a different stack (Node.js shops, .NET-only teams, or data science roles with limited app development background), you'll need to close that Python and Azure gap before the domain content will make sense. This is also why the certification tends to attract a specific hiring profile - teams building copilots, RAG-based search experiences, and agentic automation layers on Azure, rather than general software engineers or pure data scientists. If you're evaluating whether this fits your career direction, the roles that typically list this credential and the ROI analysis both dig into that fit in more detail.
Registration and Exam-Day Requirements
Once you've confirmed you have the background, qualifying operationally comes down to logistics rather than credentials. Here's what actually gates your attempt:
- Fee: $165 USD at standard US pricing; the amount varies by the country or region where you sit the exam.
- Delivery: Pearson VUE, either at a physical test center or through online proctoring from your own machine.
- Duration: 120 minutes, and the format may include interactive components rather than pure multiple choice.
- Passing score: 700 on a 100-1000 scale. Microsoft does not publish a fixed number of questions or a public pass rate for this exam.
- Content currency: skills measured are current as of April 16, 2026, and while most questions target generally available features, commonly used preview features can appear.
None of these are eligibility barriers in the traditional sense - you don't need to prove years of experience or submit documentation. But they do shape how you prepare: a 120-minute window with interactive items rewards people who've actually built things in Azure AI Foundry rather than memorized definitions. For a full walkthrough of exactly what "passing" requires numerically, see the passing score breakdown, and for a complete cost picture including retake fees and training, check the pricing breakdown.
The Five Domains You Have to Qualify Against
Since there's no formal prerequisite exam, the real "qualification bar" is domain coverage. The current skills outline breaks into five areas, and your readiness should be judged against each one individually rather than as a single average.
Domain 1: Plan and manage an Azure AI solution (25-30%)
Covers resource provisioning, security and access configuration, cost and monitoring decisions, and responsible AI planning before you write any application code.
- Understanding which Azure AI resource types fit which scenario
Domain 2: Implement generative AI and agentic solutions (30-35%)
The heaviest domain by far, and the one that most clearly separates this certification from its predecessor. Expect scenario questions on RAG implementation, multi-agent orchestration, function calling and tool schema design, conversation memory, agent evaluation and error analysis, tracing and token analytics, and autonomous workflows built with approval controls.
- Design a tool schema an agent can call reliably
- Interpret tracing output to diagnose an agent failure
Domain 3: Implement computer vision solutions (10-15%)
Image analysis, object detection, and related vision service configuration inside an application context.
Domain 4: Implement text analysis solutions (10-15%)
Sentiment, key phrase extraction, and language understanding patterns applied to real application data.
Domain 5: Implement information extraction solutions (10-15%)
Structured data extraction from documents and unstructured content, including validation of extracted fields.
For a deeper breakdown of sub-topics and question examples inside each of these five areas, the complete domain guide is the natural next stop - it's built specifically to complement this requirements overview.
The Technology Stack You're Expected to Know
Beyond the domain outline, qualifying for this exam in practice means having built something with a specific set of Azure services. The exam expects working knowledge of:
- Microsoft Foundry and Foundry Agent Service
- Microsoft Agent Framework
- Azure OpenAI in Foundry Models
- Azure AI Search
- Azure Content Understanding in Foundry Tools
- Azure Document Intelligence in Foundry Tools
- Azure Speech
- Azure Translator
If any of these are unfamiliar names rather than tools you've actually configured, that's your real gap to close - not a certificate or course requirement. A useful self-check: try to explain, from memory, how Foundry Agent Service and Microsoft Agent Framework relate to each other, and how a tool schema gets wired into a function-calling agent. If you can't, that's exactly the territory Domain 2 tests most heavily.
Retake Rules and Annual Renewal
Two ongoing requirements matter after your first attempt:
- Retakes: a failed first attempt can be retaken after a 24-hour wait. Subsequent failed attempts carry progressively longer waiting periods, so a single miss doesn't cost you much time, but repeated misses do.
- Renewal: like other Microsoft associate certifications, this one expires annually. Renewal is free and happens by passing an unproctored online assessment on Microsoft Learn - no need to retake the full proctored exam every year.
This renewal cadence is worth planning around from day one, since it means "qualifying" for this credential is really an annual commitment rather than a one-time event. Keep an eye on your transcript date so the free renewal assessment doesn't sneak past you.
Building a Realistic Qualification Timeline
Because there's no prerequisite course to complete, most candidates default to self-study, and the order you tackle domains in matters more than the total number of hours. Given that Domain 2 carries the most weight and covers the newest, least-familiar material for most candidates, it deserves the most calendar time and should not be left for the final week.
Foundation and Domain 1
- Provision and secure Azure AI resources hands-on
- Review responsible AI and monitoring decisions from Domain 1
Domain 2 deep work
- Build a RAG pipeline and a simple multi-agent workflow
- Practice function calling, tool schemas, and reading trace output
Domains 3-5
- Configure vision, text analysis, and extraction scenarios
- Compare service choices across similar-looking use cases
Review and practice exams
- Run timed practice tests to build 120-minute pacing
- Revisit weak domains identified from practice scores
For a more detailed week-by-week study methodology built specifically around this exam's structure, see the first-attempt study guide. And once you're in the review phase, running timed sets on the practice test platform is the fastest way to see which domains still need work before you spend $165 on the real attempt.
Key Takeaway
Schedule Domain 2 earliest and longest - it's 30-35% of the exam and the most likely place where prior experience with older Azure AI services won't transfer directly.
Frequently Asked Questions
No. There is no formal prerequisite, degree requirement, or lower-tier certification needed. Anyone can register directly through Pearson VUE.
If you passed before the June 30, 2026 retirement, the Azure AI Engineer Associate credential stays in the Active Certifications section of your transcript until its printed expiration date, but it cannot be renewed after retirement.
Microsoft assumes app development experience in Python plus familiarity with general AI, generative AI, and Azure services - there's no minimum years-of-experience checkpoint, just an assumed skill baseline reflected in question difficulty.
Standard US pricing is $165 USD, but the price varies by the country or region where the exam is proctored. See the full cost breakdown for regional and retake considerations.
The credential expires annually. Renewal is free and completed through an unproctored online assessment on Microsoft Learn, not a repeat of the full proctored exam.