Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) Study Guide 2026: Syllabus, Exam Topics & Study Plan -Edureify
📋 2026 Edition  ·  Updated September 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
700/1000
Passing score
5
Domains
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First-attempt pass rate
47K+
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Planning and Managing Azure AI Solutions
-
Implementing Generative AI and Agentic Solutions
-
Implementing Computer Vision Solutions
-
Implementing Text Analysis Solutions
-
Implementing 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.

🆔
azure-ai-engineer-associate-ai-102
Exam code
📝
40-60 questions
Total questions
⏱
120 minutes
Duration
🎯
700/1000
Passing score
📋
5 domains
Exam domains
🏆
Certification
Credential type
ℹ️
Scoring method: . 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.

⚠️
Common mistake: Candidates often memorise terminology but struggle with scenario-based questions. Focus on when to use what, not just what exists.
🔐
Planning and Managing Azure AI Solutions (28%)
Covers selecting the right Foundry models and services, deployment options, quotas/scaling, cost control, authentication, and monitoring.
🏗
Implementing Generative AI and Agentic Solutions (33%)
The largest domain on AI-103 — covers building generative applications and multi-agent solutions using Azure AI Foundry, RAG, tool calling, and responsible-AI production controls.
⚡
Implementing Computer Vision Solutions (13%)
Covers Azure AI Vision, image analysis, optical character recognition, custom vision, and multimodal image/video understanding.
💰
Implementing Text Analysis Solutions (13%)
Covers Azure AI Language pre-built features, conversational language understanding, and speech/translation services.
🔄
Implementing Information Extraction Solutions (13%)
Covers Azure AI Document Intelligence, Azure AI Search enrichment pipelines, and grounding for RAG/agent scenarios.
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.

Foundry Service and Model Selection
Choosing the right model class: LLM, small language model, multimodal, Foundry Tools
Selecting services for grounding, vector search, agent workflows, and multimodal processing
Retrieval and indexing method selection
Memory, tool, and knowledge integration services for agents
Deployment, Cost, and Security
Deployment options, quotas, and scaling in Azure AI Foundry
Cost control strategies for model and agent deployments
Managed identity, private networking, and keyless credentials
Azure Key Vault for managing AI service secrets and keys
Monitoring: Azure Monitor, Log Analytics, diagnostics logs
~15 questions
280 marks
28% of exam weight
Building Generative Applications
Deploying and consuming LLMs, small models, code models, and multimodal models via Foundry
Retrieval-augmented generation (RAG) pipeline design
Tool-augmented flows and multistep reasoning pipelines
Prompt engineering: system messages, few-shot, chain-of-thought, temperature/top-p
Multi-Agent Orchestration
Multi-agent orchestration and tool calling
Conversation memory and approval-gated workflows
Function calling: connecting models to external APIs
Semantic Kernel and LangChain integration patterns
Responsible AI in Production
Content safety filters and prompt shields (jailbreak/injection detection)
Evaluators for fabrications, relevance, quality, and safety
Trace logging and provenance metadata
Evaluating apps and agents through Foundry SDKs and connectors
~18 questions
330 marks
33% of exam weight
Image and Video Analysis
Azure AI Vision Image Analysis: dense captioning, object detection, tagging
OCR with Azure AI Vision: Read API for printed and handwritten text
Face API: face detection, attribute analysis, and verification
Custom Vision: training image classifiers and object detectors
Azure Video Indexer: transcription, people detection, scene segmentation
Multimodal image/video generation and understanding via Foundry models
~7 questions
130 marks
13% of exam weight
Pre-built Language Features
Sentiment analysis and opinion mining
Key phrase extraction and entity recognition (NER)
PII detection and redaction
Text summarisation: extractive vs abstractive
Conversational Language Understanding (CLU): intents, entities, utterances
Speech and Translation
Speech-to-text: real-time vs batch (with SAS URLs)
Text-to-speech with neural voices
Speaker recognition: identification and verification
Azure AI Translator: text, document, and custom translation
Azure OpenAI Realtime API for low-latency two-way voice agents vs classic Speech SDK
~7 questions
130 marks
13% of exam weight
Document Intelligence
Pre-built models: invoice, receipt, business card, ID document, tax form
Custom model training: labelled data requirements and confidence thresholds
Composed models: combining multiple custom models
Azure AI Search and Grounding
AI Search end-to-end skillset chain (OCR → language detection → entity recognition → embedding generation)
Semantic and hybrid/vector search
Custom skills and knowledge store projections
Content Understanding and OCR-based RAG flows
~7 questions
130 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 →

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.

🗓
AI-102 (Azure AI Engineer Associate) was retired by Microsoft on June 30, 2026 — if you're studying now, you're preparing for AI-103, not AI-102.
🔍
Generative AI and agentic solutions is now the single largest domain (30-35%) — deeply understand RAG pipelines, multi-agent orchestration, tool calling, and Foundry evaluation flows.
⏭
Planning and managing an Azure AI solution (25-30%) plus the generative/agentic domain together make up more than half the exam — prioritize your study time accordingly.
📊
Know Azure AI Foundry's role as the unified hub for model selection, deployment, evaluation, and agent management — it has effectively absorbed what used to be Azure AI Studio and Azure OpenAI Studio.
🔁
Responsible AI content (content safety filters, prompt shields, evaluators, trace logging) is now assessed within the generative AI/agentic domain rather than as a standalone content-moderation domain.
🧪
Computer vision, text analysis, and information extraction are each lighter (10-15%) but information extraction concepts (grounding, RAG) are woven through the heavier domains too.
📝
CLU (Conversational Language Understanding) replaced LUIS — if you see LUIS in study materials, they are outdated.
🎯
Document Intelligence pre-built models are still heavily tested: know which model handles invoices, receipts, ID documents, and tax forms, and when to use a custom model instead.
🗓
Authentication questions often test managed identity vs API key: managed identity with keyless credentials is the modern, preferred approach for production Foundry deployments.
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.
→ Vendor website
Practice Tests
Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) Practice Test
Practice questions with explanations and domain-level performance analysis.
→ Start free practice test
Mock Exam
Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) Mock Exam
Timed preparation under realistic exam-style conditions.
→ 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.
→ 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.
→ 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.
→ Get free cheat sheet
Diagnostic
Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103) Readiness Test
Assess your preparation and identify weaker exam domains.
→ Check my readiness
⚠️
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

★★★★★
Cognitive Services vs. Azure ML custom model selection is the AI-102 judgment question that appears in many forms.Edureify AI's service selection scenarios made the decision systematic: pre-built for common tasks, custom training when domain-specific data and accuracy requirements exceed what OOB models provide.
Rahul D.
Cloud Architect
★★★★★
Responsible AI principles aren't a soft add-on to AI-102 - they're tested rigorously in scenario form.Edureify AI's bias detection scenarios, transparency requirements, and human oversight design questions prepared me for content most candidates treat as supplementary.
Chris H.
Solutions Architect
★★★★★
Azure OpenAI vs. Cognitive Services Language is a distinction the exam tests with increasing frequency.Edureify AI's generative vs. discriminative AI scenarios built the decision framework: OpenAI for generation and complex language tasks, Cognitive Services for classification, extraction, and translation at scale.
Charlotte S.
Security Consultant
★★★★★
Prompt engineering for Azure OpenAI is tested at a practical level in AI-102.Edureify AI's prompt design scenarios - system message composition, few-shot examples, output formatting - built the applied understanding the exam rewards rather than just conceptual familiarity with the API.
Hassan B.
Security Ops Lead
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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