Building RAG Agents with Agent Bricks
This course provides hands-on training for building retrieval agents using Databricks Agent Bricks. Participants will learn to explore and query Knowledge Assistants, parse unstructured documents into structured data using AI Functions, chunk text for semantic retrieval, build Vector Search indexes, and create production-ready Knowledge Assistants backed by multiple knowledge sources.
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:
• Basic SQL knowledge for querying tables and using built-in functions
• Basic Python programming experience
• Familiarity with the Databricks workspace UI (e.g., navigating Unity Catalog)
• Understanding of Unity Catalog concepts including catalogs, schemas, and volumes
• Familiarity with fundamental LLM concepts
• Understanding of structured vs unstructured data
Self-Paced
Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos
Registration options
Databricks has a delivery method for wherever you are on your learning journey
Self-Paced
Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos
Register now
Instructor-Led
Public and private courses taught by expert instructors across half-day to two-day courses
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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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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
