Microsoft LevelUp - Secure and govern AI to enable responsible adoption

Secure and govern AI to enable responsible adoption

Duration - 8 Hours

Level - Intermediate

No. of learners - 14

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Last Updated Apr 2025

Style

Self paced

Target Audience

Technical Project Ready

Certification

Hands on Labs

Solution Areas

Azure - Data and AI, Innovate with Azure AI Platform

Course Overview

Overview

This course offers a comprehensive exploration into the realm of AI security within organizational frameworks, using Microsoft's suite of security tools. We will delve into the potential risks that AI presents and the strategies to mitigate these through discovery, protection, and governance processes. The course emphasizes practical skills, such as utilizing Microsoft Purview's AI Hub for risk assessment, securing AI applications and sensitive information through tools like Microsoft Defender, and managing access with Microsoft Entra and Intune. Additionally, it covers the critical aspects of AI governance within a business setting, ensuring that participants are well-equipped to oversee AI utilization effectively

Course Modules

Modules

Discover, Protect and Govern with Microsoft Security

In this module you will learn about the risks associated with AI usage and how to discover, protect, and govern AI within an organization using Microsoft Security. You'll learn to identify AI risks related to data, users, and apps and leverage the AI Hub in Microsoft Purview. The course covers protecting AI apps and sensitive data with Advanced Hunting in Microsoft Defender and securing AI access through Microsoft Entra and Intune. Additionally, you'll learn strategies to govern the use of AI across the organization.

Build your own trusted AI foundation with Microsoft Copilot and Azure AI

In this module you will learn about the how to unlock productivity across your business using Microsoft Copilot and Copilot Studio. You'll learn to enhance your organization's AI capabilities with an open AI platform and Azure AI services, and how to build solutions on best-in-class AI infrastructure to drive innovation and efficiency.

Build and use generative AI responsibly with Microsoft Azure

In this module you will learn about the Responsible AI (RAI) for Generative AI, focusing on key mitigation strategies at the model level and utilizing the Azure AI Content Safety system. You'll explore Responsible AI practices in prompt engineering through metaprompt and grounding, and learn how to enhance the user experience using the HAX Toolkit. The course also guides you on how to evaluate AI applications and implement effective AI governance and regulatory compliance.

Build an AI-ready data foundation with Microsoft Fabric

In this module you will learn about the problem of data silos and introduces Microsoft Fabric as a unified data platform built for the AI era. You'll learn how to consolidate everything with a complete analytics platform and establish a single data copy using OneLake. The course also covers how to convert insights into actions for business users and leverage Generative AI on your organization's own data for deeper insights and decision-making.