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.

Skill Level

Associate

Duration

Prerequisites

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
Date	Time	Your Local Time	Language	Price	Aug 17	09 AM - 01 PM (America/Los_Angeles)	-	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.

Customer registration Partner registration

Private Class Request

If your company is interested in private training, please submit a request.

Request Private Training

See all our registration options

Upcoming Public Classes

Date	Time	Your Local Time	Language	Price
Date	Time	Your Local Time	Language	Price	Aug 17	09 AM - 01 PM (America/Los_Angeles)	-	English	$750.00

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

Instructor-Led

Public and private courses taught by expert instructors across half-day to two-day courses

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

Purchase now

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

Upcoming Public Classes

Deploying and Monitoring Agent Applications on Databricks

This course covers the end-to-end lifecycle for deploying and monitoring generative AI agents on Databricks. Participants will learn how to deploy agents as Databricks Apps using Declarative Automation Bundles (DABs), integrate tools via the Model Context Protocol (MCP), instrument agents with MLflow Tracing, and evaluate production quality using scorers, multi-turn judges, and online evaluation. Through hands-on demos and labs, participants will gain practical experience building, observing, and monitoring production-grade AI agents on the Databricks platform.

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.

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.

Architecting Data Warehouses for Large-Scale Deployments

This course covers performance optimization, cost control, and security for large-scale data warehousing deployments.This course is designed for Data Warehousing practitioners responsible for managing Databricks environments serving hundreds or thousands of users across multiple business units. You will gain the skills necessary to efficiently scale data warehousing operations while maintaining high performance, cost-effectiveness, and compliance with security standards.