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Back to Azure AI Apps and Agents Developer (AI-103)

Azure AI Apps and Agents Developer (AI-103) Study Guide

Domain-by-domain study guide for Microsoft Azure AI Apps and Agents Developer Associate (AI-103). Covers all 5 exam objectives with topic checklists, quick notes, and practice links.

Download PDF Notes

Exam Overview

Key facts before you start studying

Duration

120 min

Questions

Exam Code

AI-103

Domains

Quick Navigation

Jump to a specific exam domain

1. Plan and manage an Azure AI solution (27%)
2. Implement generative AI and agentic solutions (33%)
3. Implement computer vision solutions (13%)
4. Implement text analysis solutions (13%)
5. Implement information extraction solutions (14%)

Domain 1

27%

Plan and manage an Azure AI solution

Choose Foundry services and models, set up deployments, secure and monitor solutions, apply responsible AI

Topics to Master

Foundry service and model selection
Deployments, quotas, and CI/CD
Security, networking, and RBAC
Responsible AI guardrails

Domain 2

33%

Implement generative AI and agentic solutions

Build generative apps, RAG, Foundry agents, tools, memory, multi-agent orchestration, and gen-AI ops

Topics to Master

RAG applications
Agent roles, tools, and memory
Multi-agent orchestration
Evaluation, tracing, and observability

Domain 3

13%

Implement computer vision solutions

Image and video generation, multimodal understanding, provenance and safety

Topics to Master

Image and video generation
Vision-enabled chat models
Content Understanding
Provenance and multimodal safety

Domain 4

13%

Implement text analysis solutions

Entities, sentiment, translation, and speech as an agent modality

Topics to Master

Entity and sentiment extraction
Translation flows
Speech-to-text and text-to-speech
Content safety for text

Domain 5

14%

Implement information extraction solutions

Retrieval pipelines, vector/hybrid search, enrichment, and document extraction

Topics to Master

Semantic, vector, and hybrid search
Enrichment skills
OCR, layout, and field extraction
RAG ingestion and grounding

Continue Your Prep

Free CertStud resources for AI-103

Study Notes Exam Study Plan Start Practice Test

Back to Azure AI Apps and Agents Developer (AI-103)

Azure AI Apps and Agents Developer (AI-103) Study Guide

Domain-by-domain study guide for Microsoft Azure AI Apps and Agents Developer Associate (AI-103). Covers all 5 exam objectives with topic checklists, quick notes, and practice links.

Download PDF Notes

Exam Overview

Key facts before you start studying

Duration

120 min

Questions

Exam Code

AI-103

Domains

Quick Navigation

Jump to a specific exam domain

1. Plan and manage an Azure AI solution (27%)
2. Implement generative AI and agentic solutions (33%)
3. Implement computer vision solutions (13%)
4. Implement text analysis solutions (13%)
5. Implement information extraction solutions (14%)

Domain 1

27%

Plan and manage an Azure AI solution

Choose Foundry services and models, set up deployments, secure and monitor solutions, apply responsible AI

Topics to Master

Foundry service and model selection
Deployments, quotas, and CI/CD
Security, networking, and RBAC
Responsible AI guardrails

Domain 2

33%

Implement generative AI and agentic solutions

Build generative apps, RAG, Foundry agents, tools, memory, multi-agent orchestration, and gen-AI ops

Topics to Master

RAG applications
Agent roles, tools, and memory
Multi-agent orchestration
Evaluation, tracing, and observability

Domain 3

13%

Implement computer vision solutions

Image and video generation, multimodal understanding, provenance and safety

Topics to Master

Image and video generation
Vision-enabled chat models
Content Understanding
Provenance and multimodal safety

Domain 4

13%

Implement text analysis solutions

Entities, sentiment, translation, and speech as an agent modality

Topics to Master

Entity and sentiment extraction
Translation flows
Speech-to-text and text-to-speech
Content safety for text

Domain 5

14%

Implement information extraction solutions

Retrieval pipelines, vector/hybrid search, enrichment, and document extraction

Topics to Master

Semantic, vector, and hybrid search
Enrichment skills
OCR, layout, and field extraction
RAG ingestion and grounding

Continue Your Prep

Free CertStud resources for AI-103

Study Notes Exam Study Plan Start Practice Test