Microsoft Azure AI Engineer (AI-103) ® 2026
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⚡ Quick Facts
Quick Answer: The Azure AI-103 (AI-103) exam has 40-60 questions, a 100 minutes time limit, a 700 / 1000 passing score, and costs $165 USD. It covers Implement Generative AI Solutions, Implement Agentic Solutions, Plan & Manage an Azure AI Solution, Implement Computer Vision Solutions. ExamCert has 500+ free practice questions, a full study guide, and a money-back guarantee.
Azure AI-103 (AI-103) Study Materials
AI-103 is Microsoft’s 2026 evolution of the Azure AI Engineer credential, succeeding AI-102 (which retires June 30, 2026). Rebuilt around Azure AI Foundry, it weights generative AI and AI agents far more heavily, reflecting the shift to Foundry, multi-agent orchestration, and retrieval-augmented generation (RAG). It validates that an engineer can build modern, production-grade AI and agentic applications on Azure.
500+ Azure AI-103 Questions
Scenario-based questions covering Implement Generative AI Solutions, Implement Agentic Solutions, Plan & Manage an Azure AI Solution, Implement Computer Vision Solutions, Implement Natural Language Processing, Implement Knowledge Mining & Document Intelligence
Detailed Explanations
Every answer explained so you understand the why behind Implement Generative AI Solutions, Implement Agentic Solutions, Plan & Manage an Azure AI Solution and more
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New questions added weekly, aligned to the current AI-103 exam objectives
How to Prepare for Azure AI-103
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What's Included
- ✓500+ exam-style practice questions
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Study Tips from Top Scorers
- 1.Score 85%+ consistently on practice tests before booking your exam
- 2.Review explanations for BOTH correct and wrong answers
- 3.Use the Study Guide for quick revision 2-3 days before exam day
- 4.Focus extra time on domains where your scores are lowest
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Azure AI-103 (AI-103) Exam Domains
40-60 questions in 100 minutes. Passing score: 700 / 1000. Exam fee: $165 USD. Format: Multiple choice, case studies & labs.
Implement Generative AI Solutions
Build, optimize, and operationalize generative AI apps with Azure AI Foundry and Azure OpenAI, including prompt flow, RAG grounding, and fine-tuning.
Implement Agentic Solutions
Create and orchestrate single and multi-agent solutions with the Foundry Agent Service and the Microsoft Agent Framework.
Plan & Manage an Azure AI Solution
Select, deploy, secure, monitor, and govern Azure AI services and models, applying responsible AI principles.
Implement Computer Vision Solutions
Analyze images and video, run OCR, and build custom classification and object-detection models with Azure Vision.
Implement Natural Language Processing
Analyze, translate, and process text and speech, and build custom language understanding and question-answering models.
Implement Knowledge Mining & Document Intelligence
Build Azure AI Search indexes and extract structured data from documents with Document Intelligence and Content Understanding.
Why Azure AI-103?
AI-103 is Microsoft’s 2026 evolution of the Azure AI Engineer credential, succeeding AI-102 (which retires June 30, 2026). A respected Microsoft credential for Azure AI Engineer, Generative AI Developer, Machine Learning Engineer.
Free vs Premium Azure AI-103 (AI-103) Practice Questions
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Who Is the Azure AI-103 Exam For?
Target Audience
For AI engineers and developers who design, build, deploy, and maintain end-to-end AI solutions on Azure — generative AI, agents, computer vision, NLP, and knowledge mining — working primarily in Python or C#.
Recommended Prerequisites
- •Hands-on experience with Azure AI services and Azure AI Foundry
- •Proficiency in Python or C#
- •Familiarity with REST APIs, SDKs, and responsible AI principles
Official Exam Details
Format: Multiple choice, case studies & labs
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AI-103 2026
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