This is an intensive 4-day online course running from September 1st – 4th inclusive.  MicroWarehouse trading partners can avail of our heavily discounted rate of €500 per candidate.  Please ensure you have cleared your calendar before registering as no refunds will be offered for cancellations made within 7 days of course commencement and places are limited.

Learn how to protect sensitive information using Microsoft Purview in modern, AI-powered environments. In this course, you will gain the skills required to classify, label, and protect data across Microsoft 365 and cloud services. You will explore how to implement data loss prevention (DLP), apply information protection policies, and govern data usage in the context of AI technologies. The course is designed for IT and security professionals responsible for data protection and compliance.

Target Audience

• IT and security professionals responsible for data protection
• Compliance and risk management professionals
• Microsoft 365 administrators managing data governance
• Professionals interested in securing data in AI-driven environments

Prerequisites

• Basic understanding of Microsoft 365 services
• Familiarity with security and compliance concepts
• General knowledge of cloud technologies

Course Contents

1 – Introduction to Microsoft Purview and data protection

• Understand data protection and compliance concepts
• Explore Microsoft Purview capabilities
• Introduction to information protection in the AI era

2 – Classify and label sensitive data

• Create and manage sensitivity labels
• Automatically classify data
• Apply labelling strategies across workloads

3 – Implement data loss prevention (DLP)

• Configure DLP policies
• Monitor and manage DLP alerts
• Protect sensitive data across Microsoft 365

4 – Manage data governance and compliance

• Implement retention and data lifecycle policies
• Manage records and compliance requirements
• Monitor data usage and risks

5 – Protect data in AI-driven environments

• Understand AI-related data risks
• Apply policies to secure AI interactions
• Ensure responsible data usage

6 – Monitor and respond to data risks

• Use reporting and analytics tools
• Investigate compliance alerts
• Respond to data-related incidents