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Agent Evaluation on Databricks

This course teaches students how to systematically evaluate AI agents using MLflow's evaluation framework, addressing the unique challenges of non-deterministic AI systems that traditional software testing cannot handle. Students learn to implement various evaluation approaches including built-in judges for common criteria like correctness and safety, guideline judges for business-specific requirements, and custom judges for specialized needs. The course covers both offline evaluation using curated datasets and online production monitoring, with hands-on experience using MLflow's tracing capabilities to understand agent execution patterns and collect human feedback from different stakeholder types. Through practical demonstrations and labs, students develop skills in creating evaluation workflows that drive continuous quality improvements throughout the AI agent development lifecycle.


Note: Databricks Academy is transitioning to a notebook-based format for classroom sessions within the Databricks environment, discontinuing the use of slide decks for lectures. You can access the lecture notebooks in the Vocareum lab environment.


Languages Available: English | 日本語 | Português BR | 한국어

Skill Level
Associate
Duration
4h
Prerequisites
In this course, the content was developed for participants with these skills/knowledge/abilities:  

• Intermediate Python programming experience

• Basic SQL knowledge for querying and creating functions

• Familiarity with Databricks Data Intelligence Platform

• Understanding of Unity Catalog concepts including catalogs and schemas

• Basic understanding of large language models (LLMs) and prompt engineering

• Basic knowledge of MLflow



Outline

AI Agent Evaluation Fundamentals

• The Challenge of Evaluating AI Agents
• Agent Setup

• MLflow's Evaluation Framework


Built-In and Guideline Judges

• Types of Evaluation Judges
• Using MLflow Built-In Judges
• Guideline Judges with MLflow
• Applying Agent Evaluation
• Custom Judges with MLflow


Custom Judges and Human Feedback

• Offline vs. Online Evaluation Strategies
• Best Practices and Practical Application
• Developer and SME Feedback with MLflow


Upcoming Public Classes

Date
Time
Your Local Time
Language
Price
Apr 08
01 PM - 05 PM (America/New_York)
-
English
$750.00
Apr 09
09 AM - 01 PM (Asia/Kolkata)
-
English
$750.00
Apr 15
09 AM - 01 PM (Europe/London)
-
English
$750.00

Public Class Registration

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Registration options

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Runtime

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Blended Learning

Self-paced and weekly instructor-led sessions for every style of learner to optimize course completion and knowledge retention. Go to Subscriptions Catalog tab to purchase

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Scale

Skills@Scale

Comprehensive training offering for large scale customers that includes learning elements for every style of learning. Inquire with your account executive for details

Upcoming Public Classes

Questions?

If you have any questions, please refer to our Frequently Asked Questions page.