Microsoft Certified: Azure AI Apps and Agents Developer Associate credential artwork

Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) Exam Guide

Validates knowledge of building Azure AI solutions, including generative AI, agents, computer vision, text analysis and information extraction.

AI-103 tests whether you can choose, build, secure and run AI solutions in Microsoft Foundry. Questions are scenario-based, so build the pieces yourself in Python, learn when to use each Foundry service, and practise finding details on Microsoft Learn, which is open during the exam.

Understand the exam

Syllabus

Plan and manage an Azure AI solution25–30%
  1. Choose the appropriate Foundry services for generative AI and agents
  2. Set up AI solutions in Foundry
  3. Manage, monitor, and secure AI systems
  4. Implement responsible AI across generative AI and agentic systems

Example scenario: An app's model calls start failing at peak hours with rate-limit errors. What would you change in the deployment, and what would you monitor?

Implement generative AI and agentic solutions30–35%
  1. Build generative applications by using Foundry
  2. Build agents by using Foundry
  3. Optimize and operationalize generative AI systems

Example scenario: An agent must look up order status through an internal API and ask a human before issuing refunds over $100. How would you wire the tool and the approval?

Implement computer vision solutions10–15%
  1. Design and implement image- and video-generation solutions
  2. Design and implement multimodal understanding workflows
  3. Implement responsible AI for multimodal content

Example scenario: A product catalog needs accessible alt text for 10,000 images, with longer descriptions for complex ones. How would you configure the model and output?

Implement text analysis solutions10–15%
  1. Apply language model text analysis
  2. Implement speech solutions

Example scenario: A call centre wants each call summarized as JSON with a sentiment score and any account numbers removed. Which features would you combine?

Implement information extraction solutions10–15%
  1. Build retrieval and grounding pipelines
  2. Extract content from documents

Example scenario: Answers from a RAG app miss facts stored in tables inside scanned PDFs. What would you change in the ingestion pipeline?

AI-103 study guide · Skills measured as of April 16, 2026

Format

Questions
40–60
Duration
2h
Passing score
700 / 1000
Delivery
Test centre or online
Languages
English, Chinese (Simplified), Chinese (Traditional), French, German, Italian, Japanese, Korean, Portuguese, Spanish

Question types

Choose the best answer from the options, or the stated number of answers when a question asks for more than one.

CertUp example

An agent must answer questions from a company's policy documents and quote the source. Which pattern should you use?

  1. Retrieval-augmented generation over the indexed documents
  2. Fine-tune the model on the questions
  3. Raise the model temperature
  4. Add more system prompt examples
Show answer

A. Retrieval brings the relevant passages into the prompt so the answer can cite them. The other options do not supply the source text.

Eligibility and booking

Sign in to Microsoft Learn with a personal Microsoft account, complete your certification profile, then schedule AI-103 with Pearson VUE.

Make a study plan

Take the free practice assessment to see where you start. Then pair one course with building each skill area in Foundry yourself.

Most candidates spend 50–90 hours. Plan for the low end if you already build AI apps in Python and have used Foundry; plan for the high end if Foundry or agents are new to you.

7 weeksto be ready
  1. 1Understand the examRead the syllabus and format, check you’re eligible and pick a target date.4 h
  2. 3Learn the core conceptsWork through one main course or book, topic by topic.41 h
  3. 4Practice with mock examsTake timed practice tests and review every mistake.21 h
  4. 5Prepare for exam dayBook the exam and check the ID and delivery rules.4 h

Learn the core concepts

Use the official learning path for coverage and one video course for structure. Build each area in your own Azure subscription.

See all 4 AI-103 courses →

Fill the known gaps. Pass reports name topics the learning path covers lightly, such as image inpainting, CLI deployment, endpoint security and prompt shields. Read the documentation for those directly.

Practice with mock exams

Start with Microsoft's free practice assessment on AI Skills Navigator, which needs a sign-in. Then use a larger question bank and rebuild any scenario you got wrong.

See all 5 AI-103 practice tests →

Are you ready?

  • You can explain when to use Content Understanding rather than Document Intelligence.
  • You can build an agent with a tool, memory and an approval step without following a tutorial.
  • You score consistently on fresh practice sets and can find missed details on Microsoft Learn quickly.

Prepare for exam day

Choose the checklist for your test-centre or online appointment.

Before going to the test centre

  • Bring a current government-issued ID whose name matches your Microsoft certification profile exactly.
  • Arrive early enough to check in and store your belongings.
  • Allow about 120 minutes of seat time for 100 minutes of questions.
  • Case studies can come as a separate section. Once you leave it, you cannot go back.
  • You can take a break, but the clock keeps running and you cannot return to questions you saw before it.
  • You see your score and a skill-area chart within minutes. If you fail, you can retake after 24 hours.
Pearson VUE for Microsoft

Exam duration and exam experience

Advice from exam takers