Google ADK for Beginners - DataCamp Tutorial

🚀 Welcome to the comprehensive journey through Google Agent Development Kit (ADK)!

This repository contains a complete collection of AI agent implementations using Google's ADK framework, designed to teach you the fundamentals of building sophisticated AI agents with fine-grained control and Google Cloud integration.

Project Structure

GoogleADK/
├── 📁 welcome_agent/          # Basic greeting agent with pirate theme
├── 📁 openai_agent/           # Using OpenAI models via LiteLLM
├── 📁 sequential_agent/       # Chain-based workflow agents
├── 📁 parallel_agent/         # Concurrent execution agents
├── 📁 session_agent/          # Session management and state persistence
├── 📁 structured_agent/       # Structured input/output schemas
├── 📁 tool_agent/             # Custom tools and function calling
├── 📁 persistent_agent/       # Database-backed persistent agents
├── 📁 gadk/                   # Virtual environment and dependencies
├── 📄 requirements.txt        # Python dependencies
├── 📄 Information.md          # Detailed setup instructions
├── 📄 habit_data.db           # SQLite database for persistent agents
└── 📷 *.jpg                   # Setup screenshots

🚀 Getting Started

Prerequisites

1. Python 3.8+ installed on your system
2. Google Cloud Account (free tier available)
3. OpenAI API Key (optional, for openai_agent)

Setup Instructions

1. Google Cloud Setup

1. Create a Google Cloud Project:

   • Go to Google Cloud Console
   • Create a new project or select an existing one

2. Access Google AI Studio:

   • Navigate to Google AI Studio
   • Create an API Key (free tier - no credit card needed!)

3. Environment Configuration:

   • Copy your API key
   • Create a .env file in each agent directory with:

   GOOGLE_API_KEY=your_api_key_here
   

2. Project Setup

# Clone the repository
git clone <repository-url>
cd GoogleADK

# Install dependwencies
pip install -r requirements.txt

# Activate virtual environment (if using gadk/)
# Windows:
gadk\Scripts\activate
# macOS/Linux:
source gadk/bin/activate

🔧 Development Best Practices

Folder Structure

agent_name/
├── __init__.py      # Python package marker
├── agent.py         # Main agent logic
├── README.md        # Agent documentation
└── .env            # Environment variables

Code Organization

• Always define root_agent in agent.py
• Use descriptive agent names and descriptions
• Implement proper error handling
• Document tool functions with clear descriptions

📖 Additional Resources

• DataCamp Tutorial: Agent Development Kit (ADK)
• DataCamp Blog: AI Agents
• DataCamp Course: Building AI Agents with Google ADK
• Google ADK Documentation

🤝 Contributing

This is a learning project for the DataCamp Google ADK Tutorial. Feel free to experiment with the agents and extend their capabilities!

📄 License

This project is part of the DataCamp Google ADK for Beginners Tutorial.

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Happy Agent Building! 🚀

Built with ❤️ using Google ADK