Exam Details
Microsoft · AI-103
Prepare for AI-103: Build autonomous AI agents and generative apps using Microsoft Foundry.
Study Plan Available
Azure AI Apps and Agents Developer (AI-103) Study Plan for 2026
8-week plan · ~80 hours
Overview
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FAQ
The AI-103 exam validates your ability to build and orchestrate autonomous AI agents and generative applications on Microsoft Foundry. This associate-level certification targets software engineers and AI developers who work with Azure OpenAI, RAG patterns, multi-agent systems, and responsible AI controls. Tested across five domains spanning Azure AI solution planning, agentic solutions, computer vision, text analysis, and information extraction, the exam reflects real enterprise AI work. With agentic AI transforming how businesses operate, certified Azure AI developers are in high demand and positioned to lead production AI deployments.
You're a fit for AI-103 if you:
Not sure if you're ready? Try a free sample quiz: 10 questions, instant results, identify weak areas.
| Domain | Weight | What This Means |
|---|---|---|
| Plan and manage an Azure AI solution | 25–30% | Pick the right Foundry services, models, and retrieval methods. Set up projects, manage cost, and configure security |
| Implement generative AI and agentic solutions | 30–35% | Build RAG apps, create agents with tools and memory, and orchestrate multi-agent workflows |
| Implement computer vision solutions | 10–15% | Build image and video generation, OCR, and visual analysis features |
| Implement text analysis solutions | 10–15% | Extract meaning from text including sentiment, key phrases, PII detection, and classification |
| Implement information extraction solutions | 10–15% | Pull structured data from forms, receipts, and documents using Document Intelligence |
You're probably ready if you can:
You might need more prep if:
If this feels too advanced:
If you know the basics but want to build confidence:
AI-103 (Developing AI Apps and Agents on Azure) is designed for Azure AI Engineers who build, manage, and deploy agents and AI solutions using Microsoft Foundry. Candidates should have experience developing applications with Python and be familiar with general AI, generative AI, and Azure services.
AI-102 (Azure AI Engineer Associate) retired on June 30, 2026. It was replaced by AI-103, which was released on June 19, 2026. While AI-102 covered a broad range of Cognitive Services, AI-103 focuses on Microsoft Foundry (formerly Azure AI Studio), generative AI, RAG pipelines, and agentic workflows. Prompt Flow is no longer the primary orchestration tool.
The exam is structured across five domains, measured as of April 16, 2026:
| Domain | Weight |
|---|---|
| Implement generative AI and agentic solutions | 30–35% |
| Plan and manage an Azure AI solution | 25–30% |
| Implement computer vision solutions | 10–15% |
| Implement text analysis solutions | 10–15% |
| Implement information extraction solutions | 10–15% |
The generative AI and agentic solutions domain is the largest and covers prompting, RAG, multi-agent orchestration, Azure AI Agent Service, and agent evaluation.
AI-103 consists of 40–60 questions with a 120-minute time limit. Question types include multiple-choice, multiple-response, drag-and-drop, case studies, and hot-area items. The exam is delivered through Pearson VUE, either online proctored or at a test center.
Yes. AI-103 includes the Microsoft Learn feature. You will have a button on the exam screen that opens official documentation in a split-view window. This is useful for checking specific syntax or verifying API parameters. However, the timer keeps running while you search, so you must know where to find information quickly.
The passing score is 700 out of 1000. The registration fee is $165 USD in the United States, though pricing varies by region. During the beta period, Microsoft offered an 80% discount code (AI103Claxton) to the first 300 test-takers, valid until May 7, 2026. This beta discount is no longer active.
Agentic workflows are central to the largest domain (30–35%). You will be tested on designing agents that use tools, maintaining stateful conversations, orchestrating multi-agent solutions, integrating external data sources, and implementing guardrails and approval flows. Familiarity with Azure AI Agent Service and multi-agent orchestration patterns is required.
AI-103 validates expertise in designing, developing, and deploying advanced Azure AI solutions using Python and Microsoft Foundry. It qualifies you for roles such as Azure AI Engineer, Generative AI Developer, and AI Solutions Architect. As organizations adopt agentic AI systems, certification in Microsoft Foundry positions you for early adopter engineering teams.
Microsoft's 2026 certification refresh introduced several successor paths:
| Certification | Focus |
|---|---|
| AI-200 (Azure AI Cloud Developer Associate) | Replaces AZ-204. Cloud development with AI workload focus |
| AI-300 (MLOps Engineer Associate) | Replaces DP-100. Operationalizing ML and GenAI solutions |
| SC-500 (Cloud and AI Security Engineer Associate) | Replaces AZ-500. Securing AI workloads and cloud infrastructure |
| AI-500 (Multi-Agent AI Solutions Expert) | Expert-level multi-agent architecture and orchestration |
ExamOS provides Mock Exams and practice modes for these AI, cloud, and security paths.