Build Agentic AI with Google ADK | Create an AI Weather Agent in Python

This video demonstrates how to build an agentic AI application using Google's Agent Development Kit (ADK) by creating a practical weather agent in Python. The tutorial covers setting up the ADK framework, implementing agent logic, and integrating external APIs to enable the agent to fetch and process real-time weather data. Viewers learn the core concepts of agentic AI development and how to leverage Google's tools for building intelligent, autonomous agents.

Key Points

• •Google ADK (Agent Development Kit) provides a framework for building agentic AI applications with structured agent logic
• •Weather agents demonstrate practical use of external API integration for real-time data retrieval
• •Agent development requires defining clear tasks, tools, and decision-making logic for autonomous operation
• •Python is the primary language for implementing agents with Google ADK
• •Agents can be designed to handle multi-step workflows and make decisions based on external data sources
• •Tool integration allows agents to interact with external services and APIs
• •Testing and iteration are essential for refining agent behavior and response accuracy
• •Google ADK abstracts complexity of agent orchestration and state management

Workflow Diagram

Concepts