Microsoft AI-103 Exam
Microsoft Certification Practice Exam
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80%
Students found the real exam almost same
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1625
Students passed this exam after AcingExam Prep
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90.4%
Average score during Real Exams at the Testing Centre
Microsoft AI-103 Exam Overview
Master the core exam objectives and accelerate your preparation with our comprehensive exam blueprint.
schedule
Duration
120 Minutes
quiz
Questions
~40-60
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Passing Score
700 / 100
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Format
MCQ & Drag-Drop
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Microsoft AI-103 Certification FAQ
The Microsoft AI-103: Developing AI Apps and Agents on Azure is an Associate-level certification designed for AI engineers and developers. It validates expertise in designing, building, managing, and deploying AI applications and autonomous agentic systems on Azure, heavily leveraging Microsoft Foundry and Azure AI services. This certification focuses on modern AI development, including generative AI, multimodal scenarios, agentic workflows, and responsible AI practices.
This exam is ideal for Azure AI engineers and software developers who build, manage, and deploy AI solutions utilizing Microsoft Foundry and Azure services. Candidates should have experience developing applications using Python and be familiar with general AI, generative AI, and various Azure AI services. The role often involves collaborating with business stakeholders, solution architects, data scientists, DevOps engineers, and cloud security engineers to design and maintain enterprise-grade AI solutions.
The average annual salary for an Azure AI Engineer in the United States is approximately $111,552. Salaries typically range between $90,000 and $129,500 per year, with top earners reaching around $145,000 annually. However, salary can vary significantly based on factors such as experience, specific skill set, job location, and overall demand for AI professionals.
Microsoft role-based certifications, including the Azure AI Apps and Agents Developer Associate, are valid for one year from the date of achievement. To renew the certification, candidates must pass a free, unproctored online assessment on Microsoft Learn. Eligibility for renewal opens approximately six months before the certification expires, and there is no limit to the number of retakes for the assessment, provided it is passed before the expiration date.
The Microsoft AI-103: Developing AI Apps and Agents on Azure is a new certification, launched as the next-generation replacement for the AI-102 exam. The AI-103T00-A course became available on March 31, 2026, and the beta exam was live in April 2026, with general availability expected in June 2026. Microsoft regularly updates its certification exams to reflect the latest technological advancements and required job skills. While specific timelines for future versions are not fixed, exams are typically updated periodically to ensure relevance with evolving cloud and AI technologies.
The AI-103 curriculum covers a comprehensive range of topics essential for developing AI applications and agents on Azure, with a strong emphasis on Microsoft Foundry. Key domains include:
- Planning and managing Azure AI solutions: Selecting appropriate Azure AI services, designing architectures, managing resources, and implementing responsible AI.
- Implementing generative AI and agentic solutions: Deploying Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), designing AI agents and multi-agent orchestration, prompt engineering, and evaluating models and applications.
- Implementing computer vision solutions: Developing solutions for image analysis, object detection, Optical Character Recognition (OCR), and multimodal understanding.
- Implementing text analysis solutions: Utilizing Natural Language Processing (NLP), sentiment analysis, language understanding, speech solutions, and text translation.
- Implementing information extraction solutions: Working with Azure AI Search, Document Intelligence, knowledge mining, and content understanding to extract insights from unstructured data.