Program profile · official sources
Study guide for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution
Exam AI-102 covered designing and implementing Microsoft Azure AI solutions, including generative AI, agents, computer vision, natural language processing, and knowledge mining. Microsoft retired the exam on June 30, 2026, so it is not for new candidates seeking a currently schedulable certification exam. Its former audience was Azure AI engineers who build, integrate, deploy, monitor, and maintain end-to-end AI solutions. The source expects development experience with Python or C#, REST APIs and SDKs, familiarity with the Azure AI portfolio and data-storage options, and the ability to apply responsible AI principles. The study guide remains useful for understanding the retired exam scope, but not as proof that the credential can still be earned.
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
Replaced by: Azure AI Apps and Agents Developer Associate (Exam AI-103) · Official retirement notice
- Credential
- certification
- Prerequisites
- Experience developing with Python or C#, using REST APIs and SDKs, understanding Azure AI portfolio components and data storage options, and applying responsible AI principles
Sources ↗
- Retirement — https://learn.microsoft.com/en-us/credentials/support/retired-certification-exams
- Official program page — https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-engineer/
- Credential details — https://learn.microsoft.com/en-us/credentials/support/credential-expiration-policy
- Credential details — https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-102
What’s covered
- Plan and manage an Azure AI solution
- Implement generative AI solutions
- Implement an agentic solution
- Implement computer vision solutions
- Implement natural language processing solutions
- Implement knowledge mining and information extraction solutions
Prerequisites: Experience developing with Python or C#, using REST APIs and SDKs, understanding Azure AI portfolio components and data storage options, and applying responsible AI principles
Is Study guide for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution worth it in 2026?
Microsoft Learn retired this certification on 30 June 2026. Use the study guide only to understand the former exam scope. Do not buy preparation on the assumption that this exam can still be booked or this credential newly earned. Treat the credential as one piece of evidence, not a guarantee of a job, promotion or project outcome. Before paying, compare the syllabus and assessment with the work you actually need to do.
How much does Study guide for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution cost?
There is no current exam purchase to recommend for this retired route. Use the study guide only to understand the former exam scope. Do not buy preparation on the assumption that this exam can still be booked or this credential newly earned. Check the final checkout total, what access includes, and any renewal or cancellation terms before you pay. A lower headline price is not automatically better value: choose the option that gives you the learning and practice you will actually use, rather than paying for a credential alone.
How long is Study guide for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution, and how is it delivered?
The study guide is now a reference, not a schedule for an available exam. Use the study guide only to understand the former exam scope. Do not buy preparation on the assumption that this exam can still be booked or this credential newly earned. Decide whether you can make room for the work as well as the listed teaching or exam time. Leave time for practice and review; a published duration is a planning guide, not a promise that every learner will finish at the same pace.
Who is Study guide for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution for, and what are the prerequisites?
Starting point: Experience developing with Python or C#, using REST APIs and SDKs, understanding Azure AI portfolio components and data storage options, and applying responsible AI principles. Use the study guide only to understand the former exam scope. Do not buy preparation on the assumption that this exam can still be booked or this credential newly earned. Compare those expectations with a task you can already complete on your own. If there is a gap, address it before paying. Look at the assessment and practice offered, not just the credential name, when deciding whether the level is right for you.
What you actually do
- Plan and manage an Azure AI solution — Exam domain / not a course module · Source
- Implement generative AI solutions — Exam domain / not a course module · Source
- Implement an agentic solution — Exam domain / not a course module · Source
- Implement computer vision solutions — Exam domain / not a course module · Source
- Implement natural language processing solutions — Exam domain / not a course module · Source
- Implement knowledge mining and information extraction solutions — Exam domain / not a course module · Source
What the credential is
- Credential type
- certification · Source
- Credential
- Microsoft Certified: Azure AI Engineer Associate · Source
- Issuer
- Microsoft · Source
- Sharing
- Microsoft Learn profile supports sharing and printing certificates. · Source
- Expiry and renewal
- Microsoft role-based certifications have one-year validity. This certification and its renewal assessment are retired, so renewal is no longer available. · Source Source
- Exam requirement
- AI-102 exam retired June 30, 2026; no new exam booking. · Source
Alternatives in the registry
Related by topic or level.
- Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) — USD 165 (United States exam-proctoring region selected; single exam attempt. Not a global price. Confirm local pricing before booking.); 120 minutes (exam only; not preparation time).
- AWS Certified AI Practitioner (AIF-C01) — USD 100 (One initial exam attempt; check applicable regional pricing and taxes. Optional preparation and retakes are not included.); 90 minutes (exam only; not preparation time).
- AI Fundamentals — Check official price; Approximately 9 hours.
Change log
- : First recorded review of source-supported program depth and credential details. · Source