What is the difference between AI-900 and AI-102?
AI-900 is a foundational certification covering AI concepts and Azure service categories — it is appropriate for non-technical roles who need to understand and evaluate AI solutions. AI-102 is a technical certification requiring coding experience in Python or C# and validates the ability to build and deploy AI applications on Azure.
AI-900 is a foundational certification covering AI concepts and Azure service categories — it is appropriate for non-technical roles who need to understand and evaluate AI solutions without implementing them.
AI-102 is a technical certification requiring coding experience in Python or C# and validates the ability to build and deploy AI applications on Azure using REST APIs, SDKs, and Azure AI Foundry. It leads to the Azure AI Engineer Associate credential.
AI-900 takes one day and costs CHF 71 in Switzerland; AI-102 takes three days and costs CHF 119. Professionals who plan to build AI systems should target AI-102 directly, while AI-900 suits managers, analysts, and governance roles who need a structured foundational baseline.
Related Information
- AI-900: 1 day, CHF 71 · AI-102: 3 days, CHF 119
- AI-900: no coding required · AI-102: requires Python or C# and REST API experience
- AI-900: Microsoft Certified: Azure AI Fundamentals (conceptual) · AI-102: Azure AI Engineer Associate (engineering)
- Choose AI-900 if: IT manager, business analyst, compliance/risk professional, or stepping stone toward AI-102 without coding background
- Choose AI-102 if: software developer, AI engineer, or backend developer building production AI systems on Azure
Expert Insight
The most common mistake candidates make is using AI-900 as a warm-up for AI-102 when they already have coding experience. For a developer with Python or REST API experience, AI-900 adds minimal preparation value — AI-102 covers service fundamentals in the day-one labs anyway, and the time would be better spent on hands-on pre-work before the 3-day course.
What separates the right decision is role clarity. Business analysts who attempt AI-102 consistently struggle; developers who skip AI-900 and go directly to AI-102 consistently succeed. The question is not which certification is more valuable in the abstract — it is which role the candidate actually performs.
“AI-900 and AI-102 are not sequential steps on the same path unless you have no coding background. For developers, AI-102 is the starting point.”
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No technical or coding experience is required for AI-900. The course and exam are designed for professionals with basic digital literacy and general awareness of cloud applications.
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What does the AI-900 exam cover?
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No technical or coding experience is required for AI-900. The course and exam are designed for professionals with basic digital literacy and general awareness of cloud applications.
What does the AI-900 exam cover?
The AI-900 exam covers Azure AI workloads including machine learning, computer vision, natural language processing, conversational AI, document intelligence, and generative AI. Candidates must classify AI scenarios, map them to Azure services, and describe responsible AI principles.
What is the AI-900 certification and who is it for?
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