Azure AI Fundamentals: Getting Started with Azure AI Vision

Azure 2024    |    Intermediate
  • 11 videos | 1h 4m 40s
  • Includes Assessment
  • Earns a Badge
Rating 5.0 of 3 users Rating 5.0 of 3 users (3)
Azure AI Vision unleashes your ability to identify, distinguish, and interpret objects, people, and even text from images or video. In this course you will explore Azure AI Vision, beginning with analyzing images, describing and tagging images, and training a classifier model. Then you will discover how to evaluate a classifier model, deploy and test a prediction model, and train an object detection model. Next, you will learn how to evaluate an object detection model and use a model as a service. Finally, you will investigate semantic segmentation. This course is one of a collection that prepares learners for the Microsoft Azure AI Fundamentals (AI-900) exam.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Get started with azure ai vision
    Define alt text and describe and tag images
    Train a classifier to classify items in an image
    Evaluate the results of a classifier model
    Deploy and test the prediction capabilities of a model
  • Train a model to detect objects in an image
    Evaluate the results of an object detection model
    Deploy and test a model as a service
    Describe the purpose and uses of semantic segmentation
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 52s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 6m 2s
    In this video, you will learn how to get started with Azure AI Vision. FREE ACCESS
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    3.  Describing and Tagging Images
    7m 35s
    After completing this video, you will be able to define alt text and describe and tag images. FREE ACCESS
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    4.  Training a Classifier Model
    5m 51s
    Find out how to train a classifier to classify items in an image. FREE ACCESS
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    5.  Evaluating a Classifier Model
    6m 39s
    During this video, discover how to evaluate the results of a classifier model. FREE ACCESS
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    6.  Deploying and Testing a Model for Prediction
    7m 13s
    Learn how to deploy and test the prediction capabilities of a model. FREE ACCESS
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    7.  Training an Object Detection Model
    6m 33s
    In this video, find out how to train a model to detect objects in an image. FREE ACCESS
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    8.  Evaluating an Object Detection Model
    7m 30s
    Discover how to evaluate the results of an object detection model. FREE ACCESS
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    9.  Using a Model as a Service
    7m 36s
    During this video, you will learn how to deploy and test a model as a service. FREE ACCESS
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    10.  Semantic Segmentation
    8m 12s
    After completing this video, you will be able to describe the purpose and uses of semantic segmentation. FREE ACCESS
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    11.  Course Summary
    39s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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