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Microsoft AI-103 Study Guide

Microsoft Azure AI Apps and Agents Developer AI-103

Microsoft AI-103, Developing AI Apps and Agents on Azure, is the associate exam for engineers who build AI apps and agents with Microsoft Foundry. It replaced the retired AI-102 and covers planning and managing Foundry solutions, generative AI and agents, computer vision, text and speech, and information extraction. It suits developers who already write Python and know Azure.

  • Exam code AI-103
  • Associate level
  • 5 exam domains

This guide is free, with no sign-up. It explains every Microsoft AI-103 exam topic in plain English, one chapter at a time. Read them in order or jump straight to the topic you need.

  • 5chapters
  • 13topics
  • 5diagrams and exhibits
  • 49 minfast track
Start with Plan and Manage an Azure AI Solution
  • Every topic follows the same simple pattern: what it is, how it works, common mistakes
  • Diagrams and real command output where a picture explains it best
  • Exam tips and worked subnetting and IPv6 practice, with answers

How the exam is weighted

Each domain is worth roughly this share of the exam. The exam provider publishes a range for each domain, so the bar marks the middle of it. Spend your study time in proportion, and select a domain to open its chapter.

Chapters

Open a chapter to see its topics and how long each takes.

1Plan and Manage an Azure AI Solution4 topics · 16 min fast trackChoosing Foundry services and models, setting up deployments, managing quotas, security and responsible AI.
  1. 1Choosing Foundry Services and Models4 min
  2. 2Setting Up AI Solutions in Foundry4 min
  3. 3Managing, Monitoring and Securing AI Systems4 min
  4. 4Responsible AI for Generative and Agentic Systems4 min
Read the chapter overview →
2Implement Generative AI and Agentic Solutions3 topics · 12 min fast trackBuilding generative apps and RAG with Foundry, building and orchestrating agents, and operating generative AI systems.
  1. 1Building Generative Applications with Foundry4 min
  2. 2Building Agents with Foundry Agent Service4 min
  3. 3Optimizing and Operationalizing Generative AI4 min
Read the chapter overview →
3Implement Computer Vision Solutions2 topics · 8 min fast trackGenerating and editing images and video, multimodal understanding of images and video, and responsible AI for visual content.
  1. 1Image and Video Generation4 min
  2. 2Multimodal Understanding and Visual Content Safety4 min
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4Implement Text Analysis Solutions2 topics · 6 min fast trackExtracting entities, summaries and JSON from text, sentiment and PII detection, translation and speech solutions for agents.
  1. 1Language Model Text Analysis and Translation3 min
  2. 2Speech Solutions for Agents3 min
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5Implement Information Extraction Solutions2 topics · 7 min fast trackIngesting and indexing content for retrieval, vector, hybrid and semantic search, enrichment, OCR and document extraction.
  1. 1Retrieval and Grounding Pipelines4 min
  2. 2Extracting Content from Documents3 min
Read the chapter overview →

Ready for more practice?

The full Microsoft AI-103 question bank has 648 questions, with timed practice exams and an explanation for every answer.

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