Search...
Prepare for AI-103 with practice questions on Microsoft Foundry, generative AI, agents, RAG, vision, text analysis, and information extraction.
Prefer a free sample? Take the free practice test — 10 questions, no signup required.
Changes that affect this certification, with links to the official source.
Microsoft retired AI-102 on June 30, 2026. AI-103 (Azure AI Apps and Agents Developer Associate) replaced it and is built around Microsoft Foundry, agents, and generative AI rather than a catalog of classic Cognitive Services.
Azure AI Apps and Agents Developer (AI-103) is a associate-level Microsoft certification. The exam has about 50 questions in 120 minutes, and you need 700 (scaled) to pass. It covers 5 domains: Plan and manage an Azure AI solution; Implement generative AI and agentic solutions; Implement computer vision solutions; Implement text analysis solutions and 1 more.
AI-102 retired June 30, 2026. Read the AI-103 study guide for domains, a 6-week plan, and how the successor exam differs.
Practice with 316 curated questions covering all AI-103 exam domains. Each question includes detailed explanations.
Master Foundry, agents, RAG, and Azure AI service terms with interactive flashcards designed for AI-103.
Take timed practice exams that mirror AI-103 domain weighting and scenario style.
Study notes covering AI-103 domains, Foundry patterns, and practical Azure AI examples.
Review Microsoft's AI-103 study guide for skills measured, audience profile, and prep tips.
See practice history, weak domains, and exam readiness for AI-103.
120 minutes
~50 questions
700 (scaled)
AI-103
Microsoft
Foundry service and model selection, Deployments, quotas, and CI/CD, Security, networking, and RBAC
RAG applications, Agent roles, tools, and memory, Multi-agent orchestration
Image and video generation, Vision-enabled chat models, Content Understanding
Entity and sentiment extraction, Translation flows, Speech-to-text and text-to-speech
Semantic, vector, and hybrid search, Enrichment skills, OCR, layout, and field extraction
Understand the core concepts of machine learning, from supervised to unsupervised learning, and when to use each approach.
Understand how neural networks work, from perceptrons to deep learning architectures like CNNs and transformers.
Learn how machines understand and process human language, from tokenization to modern LLMs.
Cloud concepts and Azure services basics
Manage Azure identities, governance, and resources
Design, build, and deploy Azure solutions
Design Azure infrastructure solutions
Switch tracks quickly and compare demand-heavy exams before you commit.
See where this certification ranks for pay and employer demand.
Many employers reimburse certification study tied to your role. Annual plans come as one invoice from Filantus LLC, with a signed W-9 and a pre-written manager-approval email.
Distractions derail AI-103 prep. Use Foci to manage tasks, run focused sprints, and stay in the zone.
Try Foci for focused study