Understanding and Building AI Agents with Agent Bricks
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Learning Track
Generative AI
Delivery methods
On-Site, Virtual
Duration
1 day
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
- Simple definition and examples
- Why agents are useful
- Agents vs. standard AI models
- What it is and why it was built
- How it simplifies agent creation
- Built-in use cases
- Workspace requirements
- Setup basics: Compute, permissions, budgets
- Step-by-step creation
- Example: Q&A or extraction agent
- Automatic evaluation and improvement
- Experimenting with AI Playground
- Knowledge assistant chatbot
- Information extraction
- Summarization/classification
- Intro to multi-agent systems
- What MCP is and why it matters
- Connecting agents to tools and data
- Examples: APIs, databases, custom functions
