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Building Reliable Conversational Agents with Genie

This course teaches you how to design, build, and maintain a Databricks Genie Agent, a natural language interface that enables business users to ask questions about governed data and receive SQL-backed answers without writing code.


You will learn how Genie Agents fit into the Databricks AI/BI product family and how they translate natural language into reliable SQL queries. The course focuses on what it takes to create a Genie Agent that delivers accurate, consistent, and trustworthy results.


You will follow a complete end-to-end workflow, from understanding source data and defining benchmarks to configuring and refining a Genie Agent using the full set of Knowledge Store curation tools. These include metadata, synonyms, prompt matching, SQL logic, example queries, and text instructions.


You will also learn how to share Genie Agents with business users through Genie One, understand how Unity Catalog governance is automatically enforced, and use monitoring and user feedback to continuously improve quality over time.


By the end of the course, you will be able to create and manage a production-ready Genie Agent that delivers governed, self-service conversational analytics at scale.


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.

Skill Level
Associate
Duration
4h
Prerequisites

In this course, the content was developed for participants with these skills/knowledge/abilities:  

• General familiarity with the Databricks workspace - You can navigate the workspace UI, attach compute resources, and run notebooks.

• Familiarity with Unity Catalog concepts - You understand catalogs, schemas, and tables in Unity Catalog. Prior experience with permissions, tags, or column masks is helpful but not required.

• Intermediate SQL proficiency - You can read and write SQL queries including SELECT, JOIN, GROUP BY, and aggregate functions.

• Access to a Databricks workspace with the Databricks SQL entitlement and CAN USE permission on a serverless SQL warehouse.

Outline

• Introduction to Genie Agents

• Demo: Bakehouse Setup and Data Exploration

• Demo: Creating and Exploring a Genie Agent

• Demo: Adding Genie Benchmarks

• Lab: Create an HR Genie Agent

• Curating an Effective Genie Agent

• Demo: Adding Metadata to the Knowledge Store

• Demo: Adding SQL Logic and Instructions to the Knowledge Store

• Demo: Sharing and the End User Experience with Genie One

• Demo: Monitoring Genie Conversations

• Lab: Improve the Knowledge Store for the HR Genie Agent

Upcoming Public Classes

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

See all our registration options

Registration options

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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.