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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900

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  • Microsoft AI MVP Book: Practical Guide to Microsoft AI Written by 17 AI and Azure MVPs from all around the world

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  • Azure AI Fundamentals: Study Guide and Practice Exam for Microsoft AI-900 Exam

    This guide by David Voss is based on the current test curriculum and targets trainees looking to gain foundational knowledge of the AI solutions and services on Azure. It comprises practice test questions and explanations that are consistent with Microsoft’s online learning tools. So, if you want to prepare with confidence and pass your exam easily, get your Kindle copy today from Amazon for only around $12.

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Microsoft AI-900 Exam Syllabus Topics:

SectionWeightObjectives
Fundamentals of machine learning on Azure25-30%- Core machine learning concepts
  • 1. Supervised vs unsupervised learning
    • 2. Training and validation concepts
      Features of computer vision workloads on Azure15-20%- Computer vision solutions
      • 1. Image classification
        • 2. OCR and image analysis
          • 3. Object detection
            Describe AI workloads and considerations20-25%- Fundamentals of artificial intelligence concepts
            • 1. Responsible AI principles
              • 2. Common AI workloads
                Features of natural language processing (NLP) workloads on Azure30-35%- Text analytics and language understanding
                • 1. Sentiment analysis
                  • 2. Language modeling and translation
                    • 3. Key phrase extraction

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