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: For SCORM lecture files, please ensure that you close the SCORM window after completing the content. Do not click the ‘Next Lesson’ button, as doing so may prevent the SCORM module from being marked as complete.
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.
Self-Paced
Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos
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Self-Paced
Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos
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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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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
