Want to build powerful AI agents that can reason, use tools, and manage complex tasks? In this complete step-by-step guide (60 Mins), I dive deep into Google's Agent Development Kit (ADK)—a robust Python framework designed to streamline the creation, testing, evaluation, and deployment of sophisticated AI agents. We'll cover everything from setup to building your first multi-tool agent, exploring advanced workflow orchestration, and deploying your creation to the cloud, enabling you to quickly build AI that handles complex tasks with ease.
In this video, you'll learn:
Getting Started: How to set up your Python environment, install ADK, configure API keys securely, and build your very first functional agent using the adk web development UI.
Core Agent Concepts: Understand how agents use tools (like Python functions), the importance of docstrings for LLM understanding, and how to define agent instructions and structure tool outputs.
Advanced Orchestration: Discover ADK's Workflow Agents (Sequential, Parallel, Loop) to coordinate multiple sub-agents and build complex, structured AI applications for pipelines, parallel processing, or iterative tasks.
Expanding Capabilities: Explore the diverse range of tools ADK supports beyond simple functions – including built-in tools (Search, Code Execution), Agents-as-Tools, powerful OpenAPI integration, and connections to LangChain, CrewAI, and Google Cloud services.
Deployment to Production: Learn how to take your agent live using Google Cloud, covering deployment options like the managed Vertex AI Agent Engine and the flexible Cloud Run container platform via the adk deploy command.
Whether you're building assistants that access real-time data or complex enterprise workflows integrating multiple services, Google's Agent Development Kit provides the structure and flexibility you need.
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Related Links:
GitHub Repository: https://github.com/theailifestyle/google-adk-demos
website: https://www.theailifestyle.com
More AI Projects & Tutorials: Subscribe for more insights!
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MENTIONED TOOLS AND SERVICES:
Google Agent Development Kit (ADK): https://google.github.io/adk-docs/
Google Gemini Models (via Google AI Studio or Vertex AI) https://aistudio.google.com/
Python: https://www.python.org/
Google Cloud: https://cloud.google.com/
Vertex AI Agent Engine: https://cloud.google.com/vertex-ai/generative-ai/docs/agent-engine/overview
Cloud Run: https://cloud.google.com/run
Mind map tool : https://www.ayoa.com/
ADK Web UI (Built-in)
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🐦 Threads: https://www.threads.net/@sre.chakra.yeddula
💻 Website: https://www.theailifestyle.com/
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Email: [email protected]
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▬▬▬▬▬▬▬▬▬▬ Chapters ▬▬▬▬▬▬▬▬▬▬
0:39 Introduction to Google ADK
4:03 ADK Building blocks : Tools
07:25 ADK Building blocks : Agents
11:25 ADK Building blocks : Callbacks / Guardrails
13:07 ADK Building blocks : Runtime and Workflow
18:54 Code Build : Quickstart Sample. Web UI
22:00 Code Build : Multi-Agent Systems (Streamlit)
35:30 Code Build : Sequential Workflow Agent (Streamlit)
38:37 Code Build : Loop Workflow Agent (Streamlit)
42:46 Code Build : Parallel Workflow Agent (Streamlit)
45:34 Deploy Agents : Vertex Agent Engine
60:00 Conclusion
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