Building Retrieval Agents On Databricks

This course provides hands-on training for building retrieval agents on the Databricks Data Intelligence Platform. Participants will learn to parse unstructured documents into structured data, transform and chunk content for retrieval workflows, build vector search solutions for document retrieval, and develop production-ready agents using MLflow and Agent Bricks. The course covers the complete agent lifecycle from document processing through embedding generation, vector indexing, and agent deployment with governance capabilities.

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

Skill Level

Associate

Duration

Prerequisites

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

Document Parsing and Chunking
Vector Search for Retrieval
Building and Logging Retrieval Agents
Agent Bricks

Upcoming Public Classes

Date	Time	Your Local Time	Language	Price
Date	Time	Your Local Time	Language	Price	Jun 01	01 PM - 05 PM (Europe/London)	-	English	$750.00
Jun 02	08 AM - 12 PM (Asia/Kolkata)	-	English	$750.00
Jul 02	09 AM - 01 PM (Australia/Sydney)	-	English	$750.00
Jul 02	09 AM - 01 PM (America/New_York)	-	English	$750.00

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Upcoming Public Classes

Date	Time	Your Local Time	Language	Price
Date	Time	Your Local Time	Language	Price	Jun 01	01 PM - 05 PM (Europe/London)	-	English	$750.00
Jun 02	08 AM - 12 PM (Asia/Kolkata)	-	English	$750.00
Jul 02	09 AM - 01 PM (Australia/Sydney)	-	English	$750.00
Jul 02	09 AM - 01 PM (America/New_York)	-	English	$750.00

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