Microsoft AI-103 Developing AI Apps and Agents on Azure Exam Overview

The Microsoft AI-103: Developing AI Apps and Agents on Azure exam is designed for professionals who build, manage, and deploy AI applications and agents using Microsoft Foundry and Azure AI technologies. Passing AI-103 leads to the Microsoft Certified: Azure AI Apps and Agents Developer Associate certification.

The exam evaluates practical skills across generative AI, agentic solutions, computer vision, text analysis, and information extraction. Candidates should understand how to use Microsoft Foundry to develop AI solutions, implement retrieval-augmented generation (RAG), build and manage agents, integrate knowledge and tools, and work with multimodal AI capabilities.

Passcert provides updated AI-103 Practice Tests and study materials to help candidates review these skills, identify knowledge gaps, and supplement official Microsoft learning resources and hands-on experience.

AI-103 Skills Measured and Exam Topics

1. Plan and Manage an Azure AI Solution — 25–30%

Review how to plan, configure, secure, monitor, and manage AI solutions using Microsoft Foundry and related Azure services. Candidates should understand solution requirements, model selection, deployment, security, responsible AI, monitoring, and operational considerations.

2. Implement Generative AI and Agentic Solutions — 30–35%

Focus on building generative AI applications and agents, implementing retrieval-augmented generation (RAG), grounding models with enterprise information, integrating tools and knowledge sources, and developing agent and multi-agent workflows.

3. Implement Computer Vision Solutions — 10–15%

Understand how to develop AI solutions that analyze and process visual content, including image and video scenarios and multimodal AI capabilities.

4. Implement Text Analysis Solutions — 10–15%

Review natural language processing capabilities for analyzing text, extracting meaning, processing language, and integrating text intelligence into AI applications.

5. Implement Information Extraction Solutions — 10–15%

Understand how to extract structured information from documents and other content, work with content processing capabilities, and use extracted information in downstream AI and RAG solutions.

2026 Updated Microsoft AI-103 Practice Tests

Passcert AI-103 Practice Tests provide structured question-based review across the five skill areas measured by the Developing AI Apps and Agents on Azure exam. Candidates can use the materials to reinforce their understanding of Microsoft Foundry, generative AI, agentic solutions, RAG, computer vision, text analysis, information extraction, and related Azure AI technologies.

Use AI-103 practice questions throughout your preparation rather than only during final review. After studying each exam domain, complete related questions, analyze incorrect responses, and revisit the relevant Microsoft Learn modules, documentation, or hands-on exercises before repeating weak areas.

The preparation package helps you:

• Review the five current AI-103 skill areas
• Practise generative AI, agent, and scenario-based questions
• Identify knowledge gaps across Microsoft Foundry and Azure AI
• Reinforce RAG, multimodal AI, and information extraction concepts
• Evaluate your progress through repeated practice

How to Prepare for the Microsoft AI-103 Exam

Effective AI-103 preparation should combine the official Microsoft exam objectives, Microsoft Learn resources, hands-on development experience, and structured question practice. Focus on understanding how Azure AI technologies work together in practical application and agent scenarios rather than relying on memorization alone.

Build Strong Microsoft Foundry Skills

Learn how to plan, configure, manage, monitor, and secure AI solutions with Microsoft Foundry. Understand model selection, deployment options, security, responsible AI, monitoring, and the operational considerations involved in production AI applications.

Focus on Generative AI and Agentic Solutions

Generative AI and agentic solutions represent the largest skill area of AI-103. Practise developing generative AI applications, implementing RAG, connecting agents to tools and knowledge sources, and designing agent and multi-agent workflows.

Strengthen Multimodal AI Skills

Review computer vision, text processing, image and visual understanding, and other multimodal AI capabilities. Understand how different models and Azure AI services can be selected and integrated for different content types.

Study RAG and Information Extraction

Learn how retrieval, grounding, indexing, vector search, document processing, and information extraction support modern AI applications. Understand how enterprise information can be processed and incorporated into RAG and agent solutions.

Use AI-103 Practice Questions to Measure Progress

Complete related practice questions after studying each skill area. Analyze incorrect responses, identify the underlying concepts that require further study, and return to Microsoft Learn, documentation, or hands-on exercises before repeating weak topics.

Why Choose Passcert Microsoft AI-103 Preparation Materials?

Coverage of Current AI-103 Objectives

The AI-103 preparation materials cover the major skills associated with Developing AI Apps and Agents on Azure, including Microsoft Foundry, generative AI, agentic solutions, computer vision, text analysis, and information extraction.

PDF and Test Engine Formats

Use the PDF format for flexible reading and review, while the Test Engine provides interactive question practice, scoring, and progress evaluation.

Regular Content Reviews and Product Updates

The preparation materials are reviewed regularly and may be updated when relevant changes are identified in the exam objectives, technologies, certification requirements, or question formats.

Member Area Access

After completing your purchase, available AI-103 preparation files can be accessed through your Passcert Member Area according to the applicable product terms.

Customer Support

Passcert support is available to assist with account access, file downloads, Test Engine installation, product updates, and other service-related questions.

Frequently Asked Questions About Microsoft AI-103 Exam

What is the Microsoft AI-103 exam?

AI-103: Developing AI Apps and Agents on Azure is the exam for the Microsoft Certified: Azure AI Apps and Agents Developer Associate certification. It validates skills in building, managing, and deploying AI applications and agents using Microsoft Foundry and Azure AI technologies.

What skills are measured on the AI-103 exam?

AI-103 covers five major skill areas: planning and managing Azure AI solutions, implementing generative AI and agentic solutions, implementing computer vision solutions, implementing text analysis solutions, and implementing information extraction solutions.

Does AI-103 cover generative AI and AI agents?

Yes. Generative AI and agentic solutions represent a major part of AI-103. Candidates should understand generative AI applications, RAG, agents, tools, knowledge integration, agent workflows, and related Microsoft Foundry capabilities.

What experience is recommended for AI-103?

Candidates should be comfortable developing applications and working with AI technologies and Azure services. Experience with Python, generative AI, Microsoft Foundry, and hands-on development of AI applications and agents is particularly useful.

How should I prepare for AI-103?

Start with the official Microsoft AI-103 Study Guide and focus on Microsoft Foundry, generative AI, agents, RAG, computer vision, text analysis, and information extraction. Combine structured learning with hands-on development and AI-103 practice questions to identify topics requiring further review.

What formats are included in the AI-103 package?

Depending on the product, the package may include downloadable PDF study materials and an interactive test engine. The exact contents are displayed on the individual product page.