Azure AI Engineer Associate: Securing and Monitoring Azure AI Services
The skill area on planning and managing an Azure AI solution makes up 20E5% of the AI-102 exam and focuses on security, authentication, monitoring, logging, and deployment.In this course, explore various authentication methods such as API keys, short-lived tokens, and Microsoft Entra ID with role-based access control. Next, discover how to configure metrics, alerts, and use Kusto Query Language (KQL) with Log Analytics for monitoring. Finally, learn how to containerize and deploy Azure AI models via Microsoft Artifact Registry, ensure billing endpoints are set at deployment, and handle offline deployment with Microsoft’s approval.This course is part of a collection that prepares learners for the Designing and Implementing a Microsoft Azure AI Solution (AI-102) exam.
