Analyze and debug your generative AI app with tracing

Module
9 Units

Intermediate

AI Engineer

Azure

Foundry Tools

Learn how to implement tracing in your generative AI applications using Microsoft Foundry and OpenTelemetry. This module teaches you to capture detailed execution flows, debug complex workflows, and understand application behavior for better reliability and optimization.

Learning objectives

By the end of this module, you'll be able to:

Set up tracing infrastructure with Microsoft Foundry and Application Insights.
Implement custom spans for AI model calls and business logic operations.
Analyze trace data to identify performance bottlenecks and failure patterns.

Prerequisites

Before starting this module, you should be familiar with:

Basic Python programming concepts
Basic AI and generative AI concepts
Basic Azure concepts and Microsoft Foundry

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Introduction min
Why do you need to use tracing? min
Identify what to trace in generative AI applications min
Implement tracing in generative AI applications min
Debug complex workflows with advanced tracing patterns min
Make informed decisions with trace data analysis min
Exercise - Enable tracing for a generative AI application min
Knowledge check min
Summary min

Start