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🎓 Google ADK Training: From Zero to Hero 🚀

Welcome! This repository contains a comprehensive, multi-module training course for the Google Agent Development Kit (ADK). Through a series of hands-on modules, you will learn the core and advanced concepts of the ADK to build, test, deploy, and observe your own AI agents.

🎯 Our Philosophy: From Zero to Hero​

This course was born from a specific need: to create a complete learning path that takes a developer from the foundational concepts of AI agents to building complex, production-ready systems. The goal is to transform you from "Zero" to "Hero" in the world of AI Agent development with the Google ADK, providing not just the theory, but the hands-on practice required to become confident and proficient.

✍️ About the Author​

This course was created and is maintained by Maurizio Ipsale, a Google Cloud Authorized Trainer and Google Developer Expert (GDE) in AI and Cloud. This project stems from a passion for empowering developers with the skills needed to build the next generation of AI agents.

🚧 Project Status 🚧​

Current Version: v0.2.0

Please be aware that this training course is in its early stages of development. As a "version zero" project, the content is subject to significant changes, additions, and refactoring.

We are working hard to refine and expand the material, but you may encounter typos, errors, or incomplete sections. Your feedback and contributions are highly encouraged! If you find an issue or have a suggestion, please open an issue on GitHub.

⏱️ Time Estimation​

This comprehensive training course is designed for both self-service and instructor-led delivery. The estimates below provide a realistic guide for pacing, considering the technical depth and hands-on nature of the labs.

  • 🧑‍💻 Self-Service (SS) Duration: This estimate reflects the time a motivated individual learner would take to read the theory, complete the labs, and account for a 25% troubleshooting/review factor.
  • 👨‍🏫 Instructor-Led Training (ILT) Duration: This estimate is tailored for a classroom environment (up to 16 participants) with a net delivery time of 6 hours per day. It includes a 75% buffer for instructor guidance, Q&A, and assisting students during labs, plus a 5-minute transition buffer between modules.

⏱️ Course Outline​

🌱 Part 1: Foundations (Modules 1-7)​

This part covers the absolute basics of AI agents and the ADK, getting your environment set up and guiding you through building and running your first agents, including multimodal capabilities.

🛠️ Part 2: Tools & Capabilities (Modules 8-14)​

This part focuses on giving your agents "superpowers" by connecting them to tools, from built-in capabilities to custom functions and third-party libraries.

🤖🤖 Part 3: Multi-Agent Systems (Modules 15-21)​

Learn how to go beyond single agents and build complex systems where multiple agents collaborate to solve complex problems, both locally and in a distributed fashion.

🏭 Part 4: Production Readiness (Modules 22-26)​

This part covers the essential features for making your agents robust, observable, and reliable in a production environment.

🔌 Part 5: Advanced Integrations & UI (Modules 27-30)​

This section covers advanced tooling with the Model Context Protocol (MCP) and strategies for integrating your agents with user interfaces.

☁️ Part 6: Deployment & Enterprise (Modules 31-36)​

Learn how to deploy your agents and their components to various scalable cloud environments, including enterprise-grade platforms.

🏆 Part 7: Capstone Project & Best Practices (Modules 37-38)​

Apply everything you've learned in a final capstone project and review the essential best practices for building production-ready agents.

Detailed Timetables​

For a detailed breakdown of the time required for each module, please see the following timetables:

📚 Course Variants​

While this repository contains the full, comprehensive "From Zero to Hero" track, we also offer shorter, focused delivery variants for different training needs:

▶️ Getting Started​

Before you begin, please ensure you have the following prerequisites installed:

  • Git
  • Python 3.11+
  • A Google Cloud Project with billing enabled
  • The Google Cloud CLI (gcloud)

To get started with the course:

  1. Clone the repository: git clone https://github.com/mauripsale/doc-adk-training.git
  2. Navigate to the directory: cd training
  3. Begin with Module 1 and proceed through the modules in order. Each lab builds upon the concepts and code from the previous one.

Happy building!

🤝 Contributing​

Contributions are welcome! If you find an issue, have a suggestion for a new module, or want to improve the existing content, please see our Contributing Guidelines to get started.

📜 Licensing​

The documentation and textual content of this training course are licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

Software components, such as the code in the sample-agents directory, are licensed under the Apache License, Version 2.0. Please see the LICENSE file within those directories for full details.

🙏 Acknowledgements​

This training course was inspired by the structure and content of the original ADK Training Hub created by Raphael Mansuy. While all content has been originally rewritten and adapted, we gratefully acknowledge his foundational work.