Microsoft AI-901 Exam Overview

The AI-901 Microsoft Azure AI Fundamentals exam validates foundational knowledge of artificial intelligence and the technical skills required to implement AI solutions using Microsoft Azure. It is designed for candidates beginning their AI solution development journey who want to understand AI workloads, Azure AI capabilities, and the fundamentals of building AI-powered applications.

Candidates should understand machine learning, computer vision, natural language processing, generative AI, AI model selection, and responsible AI principles. The exam also covers implementing generative AI applications and agents using Microsoft Foundry, including prompt design, model deployment, SDK-based application development, and information extraction with Content Understanding.

Passcert AI-901 Practice Tests help candidates review essential AI concepts, identify knowledge gaps, and reinforce preparation alongside Microsoft Learn, official documentation, and hands-on experience with Azure AI services.

AI-901 Exam Information

AI-901 Exam Domains and Skills Measured

Identify AI Concepts and Capabilities — 40–45%

This domain covers fundamental AI concepts, responsible AI principles, model capabilities and deployment options, and common AI workloads. Candidates should understand machine learning, generative and agentic AI, computer vision, speech, natural language processing, and information extraction, including how to select appropriate AI capabilities for different scenarios.

Implement AI Solutions by Using Microsoft Foundry — 55–60%

This domain focuses on building and working with AI applications using Microsoft Foundry. Candidates should understand how to create effective system and user prompts, deploy and interact with AI models, develop lightweight chat applications using the Foundry SDK, and implement information extraction solutions with Content Understanding.

What Should You Study for the Microsoft AI-901 Exam?

Preparation should focus on both AI fundamentals and the practical implementation of AI solutions in Azure. Key study areas include responsible AI, machine learning, generative and agentic AI, computer vision, speech, natural language processing, AI model selection, Microsoft Foundry, prompt engineering, model deployment, Foundry SDKs, and Content Understanding.

Candidates should also understand basic Python syntax and programming concepts, be familiar with Azure resources, and recognize how AI models and services are selected and integrated into applications.

How to Prepare for the Microsoft AI-901 Exam

Review the Official AI-901 Study Guide

Start with the current Microsoft AI-901 Study Guide and understand the two exam domains and their weightings. Prioritize Microsoft Foundry implementation because it represents 55–60% of the exam.

Learn AI Fundamentals and Responsible AI

Study machine learning, generative AI, AI agents, computer vision, speech, and natural language processing. Understand responsible AI principles such as fairness, reliability, privacy, transparency, and accountability.

Practice Building AI Solutions with Microsoft Foundry

Explore model deployment, prompt design, Foundry SDKs, lightweight chat applications, and Content Understanding. Hands-on practice can help you understand how foundational AI concepts are applied in real applications.

Use AI-901 Practice Tests to Measure Progress

Use practice questions to assess your understanding, identify weak areas, and review concepts that need further study. Combine practice tests with Microsoft Learn, official documentation, and practical exercises.

Who Should Take the Microsoft AI-901 Exam?

The AI-901 exam is suitable for beginners, students, IT professionals, and aspiring AI developers who want to establish foundational knowledge of AI and Azure AI solutions. It is particularly relevant to candidates planning to pursue further learning in AI application development, generative AI, and AI agents.

Candidates should have conceptual knowledge of AI solutions, basic Python coding knowledge, and familiarity with Azure resources. Advanced machine learning or AI research experience is not required.

How Passcert Supports Your AI-901 Exam Preparation

Passcert AI-901 Practice Tests help candidates review the exam's key knowledge areas, including AI concepts, responsible AI, machine learning, generative AI, Microsoft Foundry, and AI application development. The materials provide an additional way to assess understanding, identify knowledge gaps, and focus revision on challenging topics.

Combined with official Microsoft learning resources, documentation, and hands-on practice, Passcert practice materials provide additional support throughout your AI-901 exam preparation journey.

Frequently Asked Questions About Microsoft AI-901

What is the Microsoft AI-901 exam?

Microsoft AI-901 is the Azure AI Fundamentals exam, leading to the Microsoft Certified: Azure AI Fundamentals certification. It validates foundational knowledge of artificial intelligence concepts and the ability to implement basic AI solutions using Microsoft Foundry. Key topics include generative AI, AI agents, responsible AI, computer vision, text analysis, speech, and information extraction.

What skills are measured on the AI-901 exam?

The exam covers two major domains: Identify AI Concepts and Capabilities (40–45%) and Implement AI Solutions by Using Microsoft Foundry (55–60%). The second domain is the largest and focuses on building generative AI applications, agents, text and speech solutions, computer vision applications, and information extraction workflows.

What technologies should I study for the AI-901 exam?

Candidates should understand Microsoft Foundry, Foundry SDK, generative AI models, AI agents, prompt engineering, Python fundamentals, Azure Speech, computer vision, and Azure Content Understanding. Basic knowledge of REST APIs, SDKs, CLIs, and Azure resources is also useful.

Who should take the Microsoft AI-901 exam?

The certification is suitable for students, IT beginners, aspiring AI developers, and technology professionals starting their careers in AI solution development. Candidates should have basic knowledge of AI concepts, Python coding syntax, and Azure resources. Advanced programming or professional AI development experience is not required.

What is the difference between AI-900 and AI-901?

AI-900 was the previous Azure AI Fundamentals exam and retired on June 30, 2026. AI-901 is its successor, with an updated focus on implementing AI solutions through Microsoft Foundry, including generative AI applications, agents, model deployment, and SDK-based development.

How should I prepare for the Microsoft AI-901 exam?

Start with the official Microsoft AI-901 study guide and review both exam domains. Focus on responsible AI, generative AI fundamentals, model selection, and Microsoft Foundry. Practice creating prompts, deploying models, building simple AI applications and agents, and exploring speech, vision, and information extraction capabilities. Combine Microsoft Learn training, hands-on exercises, and practice questions to strengthen your understanding.