Building Agentic Applications on Databricks
This course teaches students how to build production-grade agentic applications on Databricks. Students learn to create governed agent tools using Unity Catalog and MCP, build single and multi-agent systems with the OpenAI Agents SDK, and leverage Agent Bricks and Genie for knowledge-assistant use cases orchestrated with a supervisor agent. The course covers the full progression from tool prototyping to production deployment, with hands-on experience using MLflow tracing to observe agent execution.
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.
Python-Specific Skills:
- Basic Python syntax and data structures
- Understanding of functions, classes, and decorators
- Experience with Python package management and imports
- Familiarity with JSON data handling
- Basic understanding of async/await patterns
SQL-Specific Skills:
- Basic SQL query syntax (SELECT, FROM, WHERE)
- Understanding of SQL functions and user-defined functions
- Experience with Unity Catalog SQL functions
Databricks-Specific Skills:
- Understanding of Databricks workspace navigation and notebook interface
- Knowledge of Unity Catalog structure (catalogs, schemas, tables, volumes, functions)
- Experience with Databricks compute resources and serverless computing
- Familiarity with MLflow experiment tracking
- Understanding of Databricks model serving endpoints
GenAI/Agent-Specific Skills:
- Basic understanding of LLMs and their capabilities
- Knowledge of prompt engineering and system prompts
- Familiarity with tool-calling agents and function calling concepts
- Basic awareness of the Model Context Protocol (MCP)
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
