Azure AI Fundamentals: Anomaly Detection

Azure 2020
  • 12 Videos | 1h 32m 45s
  • Includes Assessment
  • Earns a Badge
Anomaly detection can be a critical part of almost any business and can be used for fraud detection, identifying failures, and noticing unusual patterns in logs, records, or any time series based data. In this course, you’ll learn the purpose and uses for anomaly detection and how AI anomaly detection can be used to identify unusual patterns, failures, and fraud. You’ll then learn about the challenges of detecting anomalies in real world situations and how AI-based anomaly detection can be used to mitigate those challenges. Finally, you’ll learn how to build, configure, deploy, and test the Azure Anomaly Detection service to create anomaly detection services you can use in real world scenarios. 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
    describe the purpose and uses for anomaly detection and how AI anomaly detection can be used to identify unusual patterns, failures, and fraud
    identify the challenges of detecting anomalies in real world situations and how AI-based anomaly detection can be used to mitigate those challenges
    describe how the Azure Anomaly Detector Cognitive Service provides the tools and customization for adding anomaly detection to your apps and services
    navigate the Azure Anomaly Detector service web site and interfaces used to start an anomaly detection service you can use in the real world
    create an Azure Anomaly Detection service project and view some of the configuration options
  • integrate a time series based dataset into an Azure Anomaly Detection service project
    train a best-fitting detection model on the time series data to get the best anomaly detection reporting
    deploy the Azure Anomaly Detector service using an API key for external apps to collect anomaly reports
    test and evaluate the Azure Anomaly Detector service using external data to simulate anomalies
    customize the Azure Anomaly Detection service for sensitivity, detection, and other parameters
    summarize the key concepts covered in this course

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    1m 43s
    UP NEXT
  • Playable
    2. 
    Anomaly Detection
    8m 14s
  • Locked
    3. 
    Challenges of Anomaly Detection
    8m
  • Locked
    4. 
    Azure Anomaly Detector Cognitive Service
    5m 55s
  • Locked
    5. 
    Navigating the Azure Anomaly Detector Service
    5m 59s
  • Locked
    6. 
    Creating an Azure Anomaly Detection Service Project
    9m 33s
  • Locked
    7. 
    Integrating Time Series Data
    7m 4s
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    8. 
    Training a Best-fitting Detection Model
    6m 49s
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    9. 
    Deploying Anomaly Detection as a Service
    11m 11s
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    10. 
    Testing and Evaluating the Detection Service
    8m 1s
  • Locked
    11. 
    Customizing the Anomaly Detection Service
    14m 12s
  • Locked
    12. 
    Course Summary
    1m 6s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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