About the Get started with UiPath AI Trust Layer training

This professional course provides a deep dive into the AI Trust Layer (AITL) - the central control point for responsible AI adoption in UiPath. You’ll explore how AITL enforces governance, secures connections to Large Language Models (LLMs), and enables transparent monitoring of AI usage across UiPath products thereby ensuring compliance with enterprise standards.

Through practical lessons, you’ll discover how to configure and manage LLM connections, including the option to bring your own models, apply governance policies that safeguard compliance and control access to AI features, monitor AI activity through usage dashboards and audit logs for full transparency, and handle audits effectively to strengthen trust and accountability.

By the end of the course, you’ll be equipped to configure, monitor, and govern AI adoption at scale, ensuring security, compliance, and operational reliability for your automation programs

Learning prerequisites

A UiPath Automation Cloud account with administrator permission.

Audience

This course is tailored for a technical audience, particularly IT administrators, automation architects, and technical decision-makers who need to secure and govern enterprise AI usage.

Agenda

The full agenda covers:  

• Why the AI Trust Layer is essential for responsible AI adoption. 

• How to create and manage AITL policies. 

• Configuring and bringing your own LLMs into UiPath. 

• Monitoring AI usage through dashboards. 

• Handling audits with the Audit tab. 

Learning objectives

At the end of the Get started with UiPath AI Trust Layer course, you should be able to: 

• Explain the role of the AI Trust Layer in secure AI adoption. 

• Configure and manage LLM connections and governance policies. 

• Monitor usage and interpret AI activity logs. 

• Apply auditing practices to ensure compliance and accountability.