ADK Components | Build Agents on Mac, Windows, Ubuntu | Deploy to Google Cloud | Free Gemini Key
TL;DR – Learn to build AI agents using Google’s Agent Development Kit (ADK) on Mac + Windows + Ubuntu. This course introduces you to this new agent framework, walks you through Google’s ADK, and shows you how to build, debug, and deploy intelligent agents using Python ADK (v1.0.0). You’ll get hands-on experience with real code, multi-agent systems, streaming, and tool calling.
What you’ll learn
- We’ll start with a brief theory of agent frameworks, LLMs, and multi-agent systems..
- We’ll dive deep into Google’s Agent Development Kit. All platforms (MacOS, Windows, Ubuntu) will be covered.
- We will build a practical “Website Builder Agent” from scratch..
- And we’ll do all of this using a free Gemini API Key, so you don’t have to pay for AI models while you’re learning..
Course Content
- Introduction –> 6 lectures • 9min.
- Build Your First ADK Agent –> 11 lectures • 48min.
Requirements
TL;DR – Learn to build AI agents using Google’s Agent Development Kit (ADK) on Mac + Windows + Ubuntu. This course introduces you to this new agent framework, walks you through Google’s ADK, and shows you how to build, debug, and deploy intelligent agents using Python ADK (v1.0.0). You’ll get hands-on experience with real code, multi-agent systems, streaming, and tool calling.
Note – Course in beta, lectures being added frequently every 1-2 weeks.
What You Will Build
- Multiple AI agents using Google ADK (Python ADK v1.0.0)
- ADK’s Web Playground and step-by-step tracing
- Voice and video communication with agents (ADK’s built-in capability)
- Basic MCP and A2A integration/compatibility
Key Features of Google ADK
- Software-first Agent Design: Develop agents like apps, with predictable behavior and structure
- Web Playground: Use adk web to launch a full visual UI to interact with your agents
- Event & Token Streaming: Real-time tracing, token-by-token output, and request inspection
- Bi-directional Audio/Video: Let agents hear, speak, and see users in real-time
- Model Agnostic: Use Gemini, OpenAI, or even open-source models
Important Notes
- The Course is recorded on a MacBook and Windows and Ubuntu
- Lectures are labeled with OS it is recorded on. When no label is provided, it means that it is a common lecture for all platforms
- Course is in Beta with lectures being added every 1-2 weeks. Course outline and plan is tentaive!
- This course is based on Google ADK which is still evolving. The Python version (v1.0.0) offers stability and used for most implementations. Things might break, please be open to that. We’ll address these aspects as they happen!
Disclaimer
This course is for educational purposes only. You are responsible for reviewing all terms, privacy policies, usage restrictions, and pricing for third-party services you use during this course (such as Google Gemini or GCP). We do not offer any guarantees or warranties related to these external services.
The Gemini API key and other tools are provided by Google and may change over time. We simply guide you through their use in learning environments and demonstrate practical agent development techniques.
Let’s Build the Next Generation of Agents Together!
By the end of this course, you’ll have built your own AI agents using ADK — agents that can reason, communicate, use tools, and collaborate with other agents. Whether you’re here to learn, explore, or innovate, this course is your gateway to the future of agentic computing.