- Overview of how to prevent data exfiltration for AI workloads running on Microsoft Azure.
After completing this module, you will be able to:
- Understand mechanisms to prevent data exfiltration for AI workloads on Azure
- Configure exfiltration prevention for Azure AI services and Azure Machine Learning
- Learn how to govern AI services using Azure Policy.
After completing this module, you'll be able to:
- Set up policy and initiative assignments to Azure AI services, Azure AI Foundry, and Azure Machine Learning
- Identify noncompliant AI resources in Azure
- Understand how policy assignments relate to different services in Azure
Earn a Michigan Engineering AI Certificate — Stay Ahead of the AI Revolution
Future-Proof Your Career: AI Manager Masterclass
Overview
Google, IBM & Meta Certificates – 40% Off
One plan covers every Professional Certificate on Coursera.
Unlock All Certificates
Syllabus
- Prevent data exfiltration from Azure AI Workloads
- Prevent data exfiltration from Azure AI Workloads
- Exfiltration prevention for Azure AI services
- Azure Machine Learning data exfiltration prevention
- Knowledge check
- Summary
- Govern AI services with Azure Policy
- Azure Policy and AI Services
- Assess AI workload compliance with Azure Policy
- Azure AI Foundry and Azure Machine Learning Policies
- Knowledge Check
- Summary