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.
Note: This is the first course in the 'Generative AI Engineering with Databricks’ series.
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
Self-Paced
Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos
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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
