Understanding and Building AI Agents with Agent Bricks
(1 day)
Course Description
A beginner-friendly course that explains what AI agents are and shows how to build them with Agent Bricks. Participants will learn core concepts, explore use cases, and create their first agent — with simple paths to experimentation and extensions.
Learning Objectives
- Define AI agents and their purpose
- Explore common agent use cases
- Set up and enable Agent Bricks
- Build a first agent and experiment in AI Playground
- Understand how MCP extends agents with custom tools
Audience
- Business and technical professionals curious about AI agents
- New Databricks users who want to see practical, low-code AI use cases
- Anyone evaluating whether agents could fit into their workflows
Prerequisites
- No prior AI agent experience
- Basic Databricks familiarity helpful
Course Outline
Module 1: What Are AI Agents?
- Simple definition and examples
- Why agents are useful
- Agents vs. standard AI models
Module 2: Introduction to Agent Bricks
- What it is and why it was built
- How it simplifies agent creation
- Built-in use cases
Module 3: Getting Ready
- Workspace requirements
- Setup basics: Compute, permissions, budgets
Module 4: Building Your First Agent
- Step-by-step creation
- Example: Q&A or extraction agent
- Automatic evaluation and improvement
- Experimenting with AI Playground
Module 5: Exploring Use Cases
- Knowledge assistant chatbot
- Information extraction
- Summarization/classification
- Intro to multi-agent systems
Module 6: Extending Agents with MCP
- What MCP is and why it matters
- Connecting agents to tools and data
- Examples: APIs, databases, custom functions
