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Google Adk Masterclass

· github.com/arjunprabhulal/google-adk-masterclass

Build AI agents with Google's Agent Development Kit (ADK). 20 modules from basics to advanced topics.

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About Google Adk Masterclass

Google Adk Masterclass is an MCP server in the Documentation category: build AI agents with Google's Agent Development Kit (ADK). 20 modules from basics to advanced topics.

Install

From source
git clone https://github.com/arjunprabhulal/google-adk-masterclass

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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README

🌟 Google ADK Masterclass

Course ADK Docs License Twitter Follow

📖 Overview

Build production-ready AI agents with Google's Agent Development Kit (ADK). This hands-on masterclass covers everything from basic setup to advanced topics like multi-agent systems, memory management, and custom integrations.

What this project offers:

  • 📚 Step-by-step tutorials progressing from fundamentals to advanced techniques
  • 💻 Modular, ready-to-run code examples with minimal setup
  • 🏗️ Reference architectures for building real-world AI agent applications

▶️ Demo

💡 Why This Exists

Learn ADK through hands-on projects. Each module pairs concepts with working code, progressing from basics to advanced multi-agent patterns.

🎯 Who Is This For

If you are... This is for you
🆕 New to AI agents Start from Module 1, learn foundations first
🔄 Coming from LangChain/CrewAI Jump to Module 4+ for ADK-specific patterns
🏗️ Building production systems Focus on Modules 16-20 for state, memory, events
🔧 Integrating tools/APIs Modules 7-14 cover built-in and custom tooling

✨ Features

  • 📋 Comprehensive curriculum — 20 modules covering agents, workflows, tools, memory, and integrations
  • 🖥️ Multiple interfaces — CLI, Web UI, and programmatic approaches for every example
  • ⚙️ Production patterns — state management, callbacks, artifacts, and event streaming
  • 🔧 Extensible tooling — built-in tools, custom functions, OpenAPI, and MCP integrations
  • 📜 MIT licensed — free to use, modify, and deploy for personal or commercial projects

📚 Modules

🏁 Foundations

# Topic Description Blog
01 Getting Started Introduction to ADK, environment setup, first agent Read
02 Setting Up Agents CLI, Web, and Programmatic setup methods Read
03 Visual Builder No-code agent building with Visual Builder Read

🤖 Agent Types

# Topic Description Blog
04 LLM Agents Building intelligent LLM-powered agents Read
05 Workflow Agents Sequential, Parallel, and Loop patterns Read
06 Multi-Agent Systems Agent orchestration and collaboration Read

🔧 Tools & Integrations

# Topic Description Blog
07 Built-in Tools Google Search, Code Executor Read
08 Vertex AI RAG RAG Engine integration Read
09 Vertex AI Search Enterprise search integration Read
10 Custom Function Tools Building custom Python tools Read
11 OpenAPI Tools REST API integration Read
12 Multi-Tool Agent Combining multiple tools Read
13 Third-Party MCP Tools GitHub, Firecrawl integration Read
14 MCP Toolbox for Databases Database integration with MCP Toolbox Read

Protocols

# Topic Description Blog
15 Model Context Protocol MCP architecture and patterns Read

⚙️ Core Components

# Topic Description Blog
16 Session, State & Memory Conversation history and state management Read
17 Context Management Caching and compaction Read
18 Callbacks Intercepting agent behavior Read
19 Artifacts File and data handling Read
20 Events Event streaming and debugging Read

📋 Prerequisites

For most modules:

For Vertex AI modules (08, 09, 18):

🚀 Quick Start

# Clone the repository
git clone https://github.com/arjunprabhulal/google-adk-masterclass.git
cd google-adk-masterclass

# Set up environment
echo "GOOGLE_API_KEY=your-api-key-here" > .env

Option 1: Using uv (Recommended)

# Install uv if you haven't already
curl -LsSf https://astral.sh/uv/install.sh | sh

# Create virtual environment and install dependencies
uv venv && source .venv/bin/activate
uv pip install -r requirements.txt

# Run your first agent
cd 01-getting-started
adk web

Option 2: Using pip

# Create virtual environment
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Run your first agent
cd 01-getting-started
adk web

🔗 Resources

🤝 Contributing

Contributions are welcome! Whether it's:

  • 🐛 Bug fixes
  • 📝 Documentation improvements
  • 💡 New module suggestions
  • 🌟 Sharing your projects built with this masterclass

Please open an issue first to discuss what you'd like to change.

👤 Author

Arjun Prabhulal

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Google Adk Masterclass

How do I install Google Adk Masterclass?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Google Adk Masterclass safe to use with an AI agent?

Its trust score is 39 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Google Adk Masterclass still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.