Implement and Monitor AI Solutions
Lecture
Becky Isserman
Intermediate
1 h 50 m
2019-11-18
Lecture Overview
This is the final course of the AI-100 Exam Preparation Learning Path.In this course, we will discuss how to implement various technologies for processing and ingesting your information,we will discuss how to implement Cognitive Services into your application and tie in Cognitive Search to your solution, andwe will discuss tools available for auditing and monitoring plus how to analyze an AI solution and migrate it to another solution if it does not meet requirements.

Related Learning Path(s):
AI - 100 Designing and Implementing an Azure AI Solution
Objectives
  • Understand how to implement various technologies for processing and ingesting your information
  • Understand discuss how to implement Cognitive Services into your application and tie in Cognitive Search to your solution
  • Understand tools available for auditing and monitoring, and how to analyze an AI solution and migrate it to another solution if it does not meet requirements
Lecture Modules
In this module, we will discuss how to implement various technologies for processing and ingesting your information.
In this section, we will discuss how to setup the various AI processing solutions, including Databricks, HDInsight, and Stream Analytics.
In this section, we will discuss the various AI solutions, such as Databricks and ML Services to create endpoints and workflows available to your solutions.
In this section, we will discuss how the AI solutions integrate with various components, including App Services, analytics, and storage solutions to feed data to your users.
In this module, we will discuss how to implement Cognitive Services into your application and tie in Cognitive Search to your solution.
In this section, we will discuss how to ingest data into Cognitive Services and expose the data received to your applications.
In this section, we will discuss how your AI applications can tie into Azure Search to use Cognitive Search in your solutions.
Now that you have created your AI solution how do you monitor and audit this solution for performance and security purposes?  In this module, we will discuss tools available for auditing and monitoring plus how to analyze an AI solution and migrate it to another solution if it does not meet requirements.
In this section, we will discuss how you can use Application Insights, Azure Monitor, and Log Analytics to understand bugs and performance issues.
In this section, we will discuss how to audit the data in analytics platforms, so that you can analyze the data based on your requirements and modify the solution as needed.   We will also discuss how to migrate and fix the solution based on what is needed.
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