Azure AI Fundamentals: Anomaly Detection

Azure    |    Beginner
  • 12 videos | 1h 27m 45s
  • Includes Assessment
  • Earns a Badge
Rating 4.3 of 27 users Rating 4.3 of 27 users (27)
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

  • 1m 43s
    In this video, you’ll learn more about the instructor and the course. In this course, you’ll learn to explore how to build, configure, deploy and test the Azure Anomaly Detection service. You’ll learn to create anomaly detection services you can use in real-world scenarios. FREE ACCESS
  • 8m 14s
    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 video, you'll learn more about how to describe the purpose and uses for anomaly detection and how it can be used to identify unusual patterns, failures, and fraud. You'll learn that as points grow and technology progresses, the speed of data collection accelerates, forcing organizations to monitor, analyze, and process data at unprecedented rates. FREE ACCESS
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    3.  Challenges of Anomaly Detection
    8m
    In this video, you'll learn more about Challenges of Anomaly Detection. You'll learn that Anomaly Detection utilizes data from the past to determine issues in the present. This brings about new challenges as usage and patterns evolve, altering the pattern from historical records. You'll learn the machine learning algorithm used in Anomaly Detection must be capable of adapting to changes in behavior. FREE ACCESS
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    4.  Azure Anomaly Detector Cognitive Service
    5m 55s
    In this video, you'll describe how the Azure Anomaly Detector Cognitive Service provides the tools and customization for adding anomaly detection to your apps and services. You'll learn how this service uses an interface engine to automatically assess the dataset to determine the algorithm to use for machine learning. FREE ACCESS
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    5.  Navigating the Azure Anomaly Detector Service
    5m 59s
    With an automatic detection system, there's no need for organizations to spend time labeling the dataset. The Azure Anomaly detector works in real-time, monitoring data through its API. During this video, you will learn how to navigate the Azure Anomaly Detector service website and interfaces. FREE ACCESS
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    6.  Creating an Azure Anomaly Detection Service Project
    9m 33s
    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 video, you'll learn how to create an Azure Anomaly Detection service project in Visual Studio and view some of the configuration options. FREE ACCESS
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    7.  Integrating Time Series Data
    7m 4s
    In this video, you'll learn how to integrate a time series-based dataset into an Azure Anomaly Detection service project. Explore how the service provides machine learning algorithms exposed through a RESTful API and how this can be used by developers. FREE ACCESS
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    8.  Training a Best-fitting Detection Model
    6m 49s
    In this video, you’ll learn more about training a best-fitting detection model. You’ll learn the anomaly detection process can either be played against historical data as a batch process or as a streaming process that determines if the last point received was an anomaly based on previous points within the stream. You’ll learn this means the message returned to the application connecting to the Anomaly Detector comes with the anomaly results. FREE ACCESS
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    9.  Deploying Anomaly Detection as a Service
    11m 11s
    In this video, you'll learn how to deploy the Azure Anomaly Detector service using an API key for external apps to collect anomaly reports. You'll open Visual Studio 2019 and create a new project. Next, you'll rename the project and open up my Program.cs file. You'll then open NuGet package manager and add the required libraries. FREE ACCESS
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    10.  Testing and Evaluating the Detection Service
    8m 1s
    In this video, you'll learn how to test and evaluate the Azure Anomaly Detector service using external data to simulate anomalies. You'll see how the Anomaly Detector service uses a generic framework that's entirely hidden from the developer's view to determine the algorithm that best matches the input data. FREE ACCESS
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    11.  Customizing the Anomaly Detection Service
    14m 12s
    Anomaly detection can be used for fraud detection, identifying failures, and noticing unusual patterns in logs, records, or any time series based data. In this video, you'll learn how to customize the Azure Anomaly Detection service for sensitivity, detection, and other parameters. FREE ACCESS
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    12.  Course Summary
    1m 6s
    In this video, you’ll summarize what you’ve learned in the course. You’ve learned the uses of the Anomaly Detection service. You learned about the Anomaly Detection and its challenges, Azure Anomaly Detector Cognitive Service and how to navigate it, how to create an Azure anomaly detection service project, and how to integrate time-series data into an Azure anomaly detection service project. FREE ACCESS

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