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Microsoft

Designing and Implementing a Microsoft Azure AI Solution

AI-102 validates the skills to build, manage, and deploy AI solutions that use Azure AI services, including generative AI, computer vision, natural language processing, knowledge mining, and document intelligence. It leads to the Microsoft Certified: Azure AI Engineer Associate certification.

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About this exam

AI-102 leads to the Azure AI Engineer Associate certification. Azure AI engineers build, manage, and deploy AI solutions using Azure AI services, Azure AI Search, and Azure OpenAI. They plan and manage Azure AI solutions and implement generative AI, computer vision, natural language processing, knowledge mining, document intelligence, and agentic solutions, with responsible AI practices.

Who should take this exam

Software developers and data scientists who build AI applications on Azure. Candidates should have experience with a programming language (such as C# or Python), REST-based APIs, the Azure AI services SDKs, prompt engineering, and responsible AI principles.

Career benefits

Demonstrates the ability to design and implement production AI solutions, including generative AI, on Azure. The Azure AI Engineer Associate credential supports roles such as AI Engineer, Machine Learning Engineer, and Applied AI Developer.

How to prepare

Gain hands-on experience with Azure AI services (Vision, Language, Speech, Translator), Azure OpenAI and prompt engineering / RAG, Azure AI Search, Document Intelligence, containers, monitoring, security (keys, managed identity), and responsible AI. Microsoft Learn offers a free AI-102 learning path.

Quick facts

Exam cost$165 USD
Valid forCertification does not expire; renew annually via a free online assessment.
Length120 minutes
Questions on exam50
Passing score700 / 1000
FormatMultiple choice, multiple response, case studies, drag-and-drop, and code/scenario items.
Practice questions200
Objectives6
Official pageView

What's covered

1. Plan and manage an Azure AI solution

20–25%
  • 1a Select and provision Azure AI services and plan responsible AI
  • 1b Manage, secure, and monitor Azure AI services (keys, managed identity, containers, diagnostics)

2. Implement generative AI solutions

15–20%
  • 2a Build solutions with Azure OpenAI (models, deployments, prompts)
  • 2b Implement retrieval augmented generation and ground responses on data

3. Implement computer vision solutions

10–15%
  • 3a Analyze images and video with Azure AI Vision
  • 3b Implement custom vision and facial analysis

4. Implement natural language processing solutions

15–20%
  • 4a Analyze text and language with Azure AI Language
  • 4b Implement speech and translation solutions

5. Implement knowledge mining and document intelligence

15–20%
  • 5a Implement Azure AI Search solutions
  • 5b Implement Azure AI Document Intelligence solutions

6. Implement agentic solutions

5–10%
  • 6a Build conversational and agent solutions (Azure AI Agent Service, bots)

Frequently asked questions

Are these real exam questions?

No. These are original practice questions written to match the exam objectives, each with an explanation so you actually learn the material — not exam dumps.

How does practice mode work?

You answer questions one at a time with instant feedback and explanations. Over time the app adapts, prioritizing the objectives and questions you struggle with most.

What is a mock exam?

A timed, full-length simulation that holds feedback until the end, then shows your score, pass/fail result, and a breakdown by objective.

Can I customize how I study?

Yes. Pick the study mode that fits — adaptive practice, hard mode, ready-for-review, objective coverage, or retrying questions you've missed — and set your own question count, timer, and passing score for each session.

Do I need an account?

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