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
• 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
1. AI Agent Evaluation Fundamentals
• The Challenge of Evaluating AI Agents
• Demo: Agent Setup
• MLflow's Evaluation Framework
2. AI Agent Evaluation Fundamentals
• Built-In Judges
• Demo: Using MLflow Built-In Judges
• Guideline Judges
• Demo: Guideline Judges with MLflow
• Custom Judges and Feedback
• Demo: Custom Judges with MLflow
• Lab: Applying Agent Evaluation
3. Custom Judges and Human Feedback
• Offline vs. Online Evaluation Strategies
• Lab: Developer and SME Feedback with MLflow
Upcoming Public Classes
Date | Time | Your Local Time | Language | Price |
|---|---|---|---|---|
Nov 12 | 01 PM - 05 PM (Australia/Sydney) | - | English | $750.00 |
Nov 12 | 09 AM - 01 PM (Europe/Paris) | - | English | $750.00 |
Nov 13 | 09 AM - 01 PM (America/Los_Angeles) | - | English | $750.00 |
Dec 10 | 09 AM - 01 PM (Asia/Kolkata) | - | English | $750.00 |
Dec 10 | 01 PM - 05 PM (Europe/Paris) | - | English | $750.00 |
Dec 10 | 09 AM - 01 PM (America/New_York) | - | English | $750.00 |
Jan 14 | 09 AM - 01 PM (Asia/Singapore) | - | English | $750.00 |
Jan 14 | 09 AM - 01 PM (Europe/Paris) | - | English | $750.00 |
Jan 14 | 01 PM - 05 PM (America/New_York) | - | English | $750.00 |
Public Class Registration
If your company has purchased success credits or has a learning subscription, please fill out the Training Request form. Otherwise, you can register below.
Private Class Request
If your company is interested in private training, please submit a request.
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