AI-103 is broader than a single generative AI exam. It includes planning and managing an Azure AI solution, building generative AI and agentic solutions, and choosing the right AI workload for vision, text, or document-style extraction scenarios.
Objective areas to cover
- Plan and manage an Azure AI solution: 25-30%. Focus on architecture, resources, security, evaluation, monitoring, and lifecycle decisions.
- Generative AI and agentic solutions: 30-35%. Study Microsoft Foundry, models, prompts, agents, orchestration, grounding, RAG patterns, and safety controls.
- Computer vision: 10-15%. Recognize image analysis, OCR, custom vision, and visual workload requirements.
- Text analysis: 10-15%. Review language detection, sentiment, summarization, key phrases, and classification-style needs.
- Information extraction: 10-15%. Understand when a solution needs to extract structured facts from forms, documents, or unstructured content.
After studying one objective group, use the AI-103 Practice Test. If your mistakes cluster around AI architecture, return to the AI-103 study guide before moving to another workload.
Verified against the official vendor reference: learn.microsoft.com.