Build your first AI Agent with ADK| MCP Toolbox for Databases Course
So far in this course, we’ve explored:
- The Data Gap — why most AI agents fall short
- How connecting to live databases makes agents far more useful
Now it’s time to build your first real AI agent.
In this video, we dive into the Agent Development Kit (ADK) and create an agent that can extract invoice data from an image.
What is ADK?
Google’s Agent Development Kit (ADK) is a powerful, flexible framework that lets developers like us build AI-powered agents capable of understanding requests and interacting with external services.
In this tutorial we will be using Google’s Agent Development kit to build an invoice detials extractor agent.
What You’ll Build
In this episode, we’ll go hands-on and build an agent that:
- Uses structured prompting to extract invoice fields from unstructured input
- Identifies key elements like: Vendor name, Invoice number, Total amount, Due date
- Leverages ADK’s built-in prompt templates and function calling
- Runs entirely locally using VS Code and Python
This is your first real-world AI tool — and you’ll do it in under 20 minutes.
What You’ll Learn
- How to create a new agent using the
Agent()class in ADK - How to write clear instructions and descriptions for consistent agent behaviour
- How to simulate test conversations and review outputs
- Why ADK makes agent creation modular, reproducible, and powerful
Watch Video 3: Building Your First AI Agent with Google’s Agent Development Kit
Coming Next…
In the next episode, we’ll go even deeper with MCP Toolbox — and show you how to connect your agents to live databases like BigQuery using structured tools and YAML.
You’ll see how simple it is to turn your agent into a data-connected co-pilot.
Additional Links:
- Watch Video 1-Introduction
- Watch Video 2 — The Data Gap
- Course Introduction Blog
- Build a Google Tasks To-Do Agent using Agent Development Kit
🔗 Access the Course GitHub Repository Here
