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: 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.
The content was developed for participants with these skills/knowledge/abilities:
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)
Outline
1. Foundations
• Agents, MCP, and AI Governance on Databricks
• Demo: Building Agent Tools on Databricks
• Lab: Assessing and Fixing Agent Tools
2. Agent Development
• Building Agents with the OpenAI Agents SDK and MLflow
• Demo: Building Single Agents with the OpenAI Agents SDK
• Demo: Multi-Agent Orchestration with the OpenAI Agents SDK
3. Agent Bricks and Beyond
• Agent Bricks and Genie
• Lab: Building a Supervisor Agent with Agent Bricks
• BONUS: Building Single Agents with LangChain
Upcoming Public Classes
Date | Time | Your Local Time | Language | Price |
|---|---|---|---|---|
Nov 11 | 01 PM - 05 PM (Australia/Sydney) | - | English | $750.00 |
Nov 11 | 09 AM - 01 PM (Europe/Paris) | - | English | $750.00 |
Nov 12 | 09 AM - 01 PM (America/Los_Angeles) | - | English | $750.00 |
Dec 09 | 09 AM - 01 PM (Asia/Kolkata) | - | English | $750.00 |
Dec 09 | 01 PM - 05 PM (Europe/Paris) | - | English | $750.00 |
Dec 09 | 09 AM - 01 PM (America/New_York) | - | English | $750.00 |
Jan 13 | 09 AM - 01 PM (Asia/Singapore) | - | English | $750.00 |
Jan 13 | 09 AM - 01 PM (Europe/Paris) | - | English | $750.00 |
Jan 13 | 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.
Registration options
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