LEARNING PATH

Machine learning operations engineer path

Engineers who deploy, monitor and evaluate machine learning and generative AI in production.

Goal: Machine Learning Operations Engineer Associate (Associate). 1 to 2 exams, about 4–14 weeks with our study plans.

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The path, step by step

  1. Optional start: skip if you know the basics

    AI-901: Microsoft Azure AI Fundamentals

    AI fundamentals before the production detail. · leads to Azure AI Fundamentals · study plan: 3 weeks or 6 weeks

    Cover of AI-901: Microsoft Azure AI Fundamentals
  2. Required

    AI-300: Operationalizing Machine Learning and Generative AI Solutions

    Getting models into production and keeping them healthy there. · leads to Machine Learning Operations Engineer Associate · study plan: 4 weeks or 8 weeks

    Cover of AI-300: Operationalizing Machine Learning and Generative AI Solutions

    Ultra Transcenders AI-300: Operationalizing Machine Learning and Generative AI Solutions

    Know how models reach production, and stay there.

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Microsoft requires: AI-300. Everything else is our advice on the order that makes each exam easier. The time is a rough guide: the shorter plans suit people who already work with the technology, the longer ones people who are new to it. Certification details on Microsoft Learn.

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