Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) Study Guide 2026: Syllabus, Exam Topics & Study Plan -Edureify
๐Ÿ“‹ 2026 Edition  ยท  Updated November 2026

Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) Study Guide 2026

Complete exam coverage for the Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103): syllabus, domains, key topics, study plan and practical exam preparation strategy.

40-60
Questions
120 min
Duration
700
Passing score
5
Domains
95%
First-attempt pass rate
47K+
Candidates prepared
4.9โ˜…
Average rating
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Overall readiness (locked)
Plan and manage an Azure AI solution
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Implement generative AI and agentic solutions
-
Implement computer vision solutions
-
Implement text analysis solutions
-
Implement information extraction solutions
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Exam at a Glance

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

Key facts about the Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) exam structure, format and scoring.

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azure-ai-engineer-associate-ai-103
Exam code
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40-60 questions
Total questions
โฑ
120 minutes
Duration
๐ŸŽฏ
700
Passing score
๐Ÿ“‹
5 domains
Exam domains
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Certification
Credential type
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Scoring method: Microsoft reports results on a scaled score from 1 to 1,000, and 700 or greater is required to pass; the scaled score is not a percentage of questions answered correctly, and items may carry different weights. Microsoft does not publish the split of scored and unscored items. Results are normally shown when the exam ends, with a score report showing performance by skill area; beta exam results are released later.. The exam may include unscored pilot questions - treat every question seriously.
Focus Areas

What should you study for the Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) exam?

Start with the domains that make up the Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) exam. Use the detailed syllabus below to work through the individual topics.

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Common mistake: Candidates often memorise terminology but struggle with scenario-based questions. Focus on when to use what, not just what exists.
🔐
Plan and manage an Azure AI solution (28%)
Selecting Foundry services and models, setting up deployments, and securing, monitoring and governing AI systems responsibly.
🏗
Implement generative AI and agentic solutions (33%)
Building, evaluating and operationalizing generative AI applications and single- or multi-agent solutions with Foundry.
⚡
Implement computer vision solutions (13%)
Generating and editing images and video and building multimodal visual understanding with responsible AI controls.
💰
Implement text analysis solutions (13%)
Applying language models and Foundry Tools to text analysis, translation and speech workloads.
🔄
Implement information extraction solutions (13%)
Building retrieval and grounding pipelines and extracting structured content from documents with Content Understanding.
Full Syllabus

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

The Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) exam is divided into 5 domains. Each domain covers specific skills and topics. Expand a domain to see the detailed syllabus.

Choose Foundry Services and Models
Selecting LLMs, small language models and multimodal models
Foundry services for grounding, vector search and agent workflows
Retrieval and indexing approach selection
Memory, tool and knowledge integration for agents
Set Up AI Solutions in Foundry
Azure infrastructure design for AI apps and agents
Deployment options for models and agents
Configuring model and agent deployments
CI/CD integration for Foundry projects
Manage, Monitor and Secure AI Systems
Quotas, rate limits, scaling and cost control
Monitoring drift, safety events and grounding quality
Search index health and relevance monitoring
Managed identity, keyless credentials and private networking
Role-based access policies
Responsible AI for Generative and Agentic Systems
Content safety filters and guardrails
Evaluators and safety evaluations
Trace logging, provenance metadata and approval workflows
Agent oversight modes and tool-access controls
~17 questions
28 marks
28% of exam weight
Build Generative Applications with Foundry
Deploying and consuming LLMs, code and multimodal models
Retrieval-augmented generation (RAG) in applications
Tool-augmented and multistep reasoning workflows
Evaluating apps for fabrications, relevance, quality and safety
Connecting apps to a Foundry project with Foundry SDKs
Build Agents with Foundry
Agent roles, goals, conversation tracking and tool schemas
Retrieval, function calling and conversation memory
Integrating APIs, search and custom functions as agent tools
Orchestrated multi-agent solutions
Safeguards and approval flows for autonomous workflows
Agent monitoring, evaluation and error analysis
Optimize and Operationalize Generative AI
Prompt engineering and model parameter tuning
Reflection, chain-of-thought evaluation and self-critique loops
Tracing, token analytics and latency breakdowns
Orchestrating multiple models and hybrid rules engines
~20 questions
33 marks
33% of exam weight
Image and Video Generation
Text-to-image generation with reference media
Text-to-video generation
Inpainting and mask-based image edits
Editing generated videos
Generation and editing controls
Multimodal Understanding Workflows
Image captioning and visual question answering
Alt-text and accessible image descriptions
Azure Content Understanding in Foundry Tools for visual extraction
Video analysis and object or region detection
Single-task and pro-mode Content Understanding pipelines
Responsible AI for Multimodal Content
Classifying unsafe visual content
Indirect prompt injection through embedded image text
Watermarks and brand or symbol policy rules
Flagging potentially inappropriate content
~8 questions
13 marks
13% of exam weight
Language Model Text Analysis
Entity, topic and summary extraction to structured JSON
Sentiment, tone and sensitive content detection
Azure Translator in Foundry Tools and LLM translation
Customizing outputs for domain tasks such as compliance summaries
Speech Solutions
Speech to text and text to speech for agents
Speech as an agent modality and custom speech models
Multimodal reasoning over audio input
Speech translation with language models and Foundry Tools
~8 questions
13 marks
13% of exam weight
Retrieval and Grounding Pipelines
Ingesting and indexing documents, images, audio and video
Semantic, hybrid and vector search for grounding
Built-in and custom enrichment skills
RAG ingestion with OCR
Connecting retrieval to agent tools
Document Content Extraction
OCR, layout analysis and field extraction pipelines
Grounded representations for agents and RAG
Content Understanding analyzers for structured or markdown output
Preparing extracted content for downstream reasoning
~7 questions
13 marks
13% of exam weight
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Study Plan

Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) Structured Study Roadmap

Choose a preparation timeline based on how much time you have available. For a plan based on your actual readiness and weak domains, use the personalised Edureify study experience. Get My Training Plan โ†’

Weeks 1-2
Core Services + Highest-Weighted Domain
Deep-dive into the most heavily tested domain. Spend more time here when its exam weight is significantly higher.
Official exam guideDomain 1 completeCore conceptsPractice questions
Week 3
Domain 2 - Hands-on Practice
Focus on scenario-based study and reinforce concepts through practical application where applicable.
Domain 2Scenario walkthroughsHands-on practicePractice questions
Week 4
Domain 3 - Deeper Concepts
Work through complex concepts and decision scenarios.
Domain 3Scenario drillsPractice examReview
Week 5
Remaining Domains + Weak Area Targeting
Identify your weaker domains and spend focused time closing those gaps.
Remaining domainsDiagnosticTargeted reviewStudy notes
Week 6
Full Simulations + Final Preparation
Use timed simulations to test your preparation and review the reasoning behind incorrect answers.
Full mock examsWrong-answer reviewFinal reviewExam logistics
Exam Strategy

Tips to pass Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) on your first attempt

Practical advice for applying what you know, managing questions and preparing for exam conditions.

🗓
Generative AI and agentic solutions (30-35%) is the largest domain: build at least one RAG app and one multi-agent solution in a Foundry project using the Python SDK before you book.
🔍
Planning and managing the solution is another 25-30%; know managed identity, keyless credentials, private networking, quotas and content safety configuration, not just model calls.
⏭
Study with current Microsoft Foundry and Foundry Tools names and the AI-103 study guide dated April 16, 2026; AI-102 material leaves the agent domains largely uncovered.
📊
The exam page gives 120 minutes and notes interactive components, so practise in the Microsoft exam sandbox and pace yourself for case studies.
🔁
You need 700 on a 1-1,000 scale; when the exam is in beta, results are not released immediately, so plan certification deadlines accordingly.
Recommended Resources

Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) Study Resources

Use a focused set of resources alongside the study guide rather than trying to study from everything available.

Official
Official Exam Guide
Start with the authoritative exam objectives and blueprint.
Practice Tests
Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) Practice Test
Practice questions with explanations and domain-level performance analysis.
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Mock Exam
Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) Mock Exam
Timed preparation under realistic exam-style conditions.
โ†’ Take free mock exam
Training
Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) Certification Training
Structured preparation with personalised learning support and adaptive practice.
โ†’ Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) certification online training
AI Tutor
Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) AI Tutor
Get help understanding concepts and work on weak areas with AI-powered learning support.
โ†’ Try Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) AI tutor
Reference
Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) Cheat Sheet
Quick-reference summaries for final revision.
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Diagnostic
Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) Readiness Test
Assess your preparation and identify weaker exam domains.
โ†’ Check my readiness
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Avoid brain dumps. Sites selling real or stolen exam questions may violate certification-provider rules and can leave candidates studying outdated material.
Reviews

What candidates say after passing

FAQ

Frequently asked questions about Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103)

Most candidates with relevant background can structure their preparation over several weeks, depending on their existing knowledge, available study time and exam difficulty. Use the study roadmap above as a starting point and use the readiness diagnostic to identify where you need more preparation.
The guide covers the exam overview, domains, detailed syllabus and topics, study roadmap, exam preparation tips and links to practice, mock, readiness, cheat-sheet, AI Tutor and training resources.
The guide is designed to organize your preparation around the exam syllabus. You should combine it with practice questions and timed simulations so that you can test both your knowledge and your ability to apply it.
Yes. Start with the exam overview and domain breakdown, then work through the detailed topics using the study roadmap. Candidates with less experience may need additional time for foundational concepts.
Take the Edureify readiness diagnostic to assess your preparation and identify the domains where you need to focus more.
Edureify AI can help explain concepts, identify weaker areas from practice performance and support a more personalised preparation process.

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