Your comprehensive guide to the Associate-level AI-103 certification, built around Microsoft Foundry. Covers planning and managing Azure AI solutions, generative AI and agents, computer vision, text analysis, and information extraction for developers and AI engineers.
Developers and AI engineers building generative AI apps, agents, and intelligent solutions on Azure with Microsoft Foundry.
40-60 questions in 120 minutes; passing score is 700/1000. Five sections, no formal prerequisite.
Planning and securing Azure AI solutions, generative AI and agents in Foundry, computer vision, text analysis, and information extraction with Content Understanding.
Hands-on with the Foundry portal and SDK, prompt engineering, retrieval augmented generation, and the Azure AI Agent Service. Python or C# experience helps.
If you already know the AI-102 Azure AI Engineer track, here is how AI-103 differs:
The Microsoft AI-103 exam, officially titled Developing AI Apps and Agents on Azure, leads to the Azure AI Apps and Agents Developer Associate certification. It is aimed at developers who design, build, and operate AI solutions on Azure using Microsoft Foundry, the unified platform for deploying models, building agents, and managing AI workloads.
The certification validates your ability to plan and manage an Azure AI solution end to end, then implement generative AI and agentic solutions, computer vision, text analysis, and information extraction. It is a practical, code-aware exam, so you are expected to understand the Foundry SDK, prompt engineering, retrieval augmented generation, and the security and responsible AI controls that surround a production AI service.
Developers building generative AI features into applications who want a credential that proves hands-on Foundry and SDK skills.
Engineers designing agentic systems, orchestrating tools, and grounding models with retrieval augmented generation in production.
Application developers extending existing products with vision, language, and document-processing capabilities on Azure.
Candidates who have passed AI-901 Azure AI Fundamentals and want an Associate-level developer credential as the natural next step.
AI-103 covers five sections. The generative AI and agentic solutions section carries the most weight, reflecting the exam's focus on building and orchestrating agents in Microsoft Foundry.
AI-103 is built around Microsoft Foundry and the Azure AI service family. Focus your hands-on study on these four areas.
The unified workspace for deploying models, engineering prompts, building agents, and running client applications. The Foundry SDK is the primary developer surface.
Create, test, and deploy agents in Foundry, then add tools and function calling and orchestrate multi-agent solutions that hand off work between agents.
The retrieval layer for grounding generative models. Used for retrieval augmented generation so responses stay accurate and anchored to your own data.
Foundry Tools service for extracting structured information from documents, images, audio, and video using standard-mode and pro-mode pipelines.
Free learning path and product documentation on Microsoft Learn
Test your knowledge with 280+ exam-style scenario questions written for the AI-103 objectives. Get detailed explanations and track your progress.
This four-week plan tracks the official section weights, dedicating the most time to building and orchestrating agents in Microsoft Foundry.
Provisioning and security
Selecting and provisioning Azure AI resources, regions, and container deployments.
Authentication with Microsoft Entra ID and managed identities, network security, content safety, and monitoring.
The core of the exam
Deploying models in Foundry, prompt engineering, parameters, and retrieval augmented generation with Azure AI Search.
Building agents with the Azure AI Agent Service, tools and function calling, multi-agent orchestration, and response evaluation.
Azure AI Vision and Language
Image analysis, OCR, multimodal vision, custom vision models, and face analysis under responsible AI policy.
Key phrases, entities, sentiment, PII redaction, summarisation, and custom language models.
Content Understanding and revision
Azure Content Understanding for documents, images, audio, and video in standard-mode and pro-mode, plus indexing with Azure AI Search.
Full-length practice exams, targeted review of weak areas, and final exam preparation.
Everything you need to know about sitting AI-103: how it differs from AI-102, prerequisites and the passing score, the tools it covers, how long to study and using Microsoft Learn during the exam.
AI-103 (Azure AI Apps and Agents Developer Associate), officially titled Developing AI Apps and Agents on Azure, is an Associate-level Microsoft certification for developers who build AI solutions on Azure. It validates your ability to plan and manage an Azure AI solution and to implement generative AI and agentic solutions, computer vision, text analysis, and information extraction using Microsoft Foundry. The exam runs for 120 minutes with a passing score of 700 out of 1000.
AI-102 led to the Azure AI Engineer Associate certification, which Microsoft has now retired along with its renewal assessment. AI-103 is the current, agent-focused Associate-level Azure AI developer certification. AI-103 centres on building generative AI and agentic solutions with Microsoft Foundry, alongside computer vision, text analysis, and information extraction with Azure Content Understanding. AI-102 focused on implementing Azure AI services across vision, language, speech, and knowledge mining. For anyone certifying now, AI-103 is the Azure AI developer certification to take.
There is no formal prerequisite, but AI-103 is an Associate-level developer exam, so Microsoft expects hands-on experience. You should be comfortable developing with Azure AI services, calling REST APIs and SDKs, and writing code in a supported language such as Python or C#. Familiarity with the Microsoft Foundry portal, prompt engineering, and retrieval augmented generation will make the implementation topics considerably easier.
The passing score for AI-103 is 700 out of 1000, consistent with other Microsoft role-based certifications. This equates to roughly 70 percent, though scoring is scaled according to the difficulty weighting of each question across the five exam sections.
Most candidates with practical Azure development experience prepare in 40 to 60 hours over four to six weeks. If you are new to Microsoft Foundry or to building agents, allow closer to six weeks and spend extra time in the portal and SDK. Pairing full-length practice exams with the official Microsoft Learn modules is the fastest route to a confident pass.
AI-103 is built around Microsoft Foundry, the unified platform for deploying models, building agents, and running client applications. The implementation topics centre on the Foundry portal and the Foundry SDK, with code typically shown in Python or C#. You should also understand Azure AI Search for grounding and retrieval augmented generation, Azure AI Vision and Azure AI Language for analysis, and Azure Content Understanding for information extraction.
Yes. Microsoft provides access to Microsoft Learn documentation during role-based exams such as AI-103, so you can confirm a specific parameter or method signature mid-exam. The clock keeps running while you search, however, so you should know the material well and treat Learn access as a safety net rather than a substitute for preparation.
Prepare for the Azure AI Apps and Agents Developer Associate exam with 280+ exam-style scenario questions, full-length mock exams, and detailed explanations across all five sections.