Overview
Build, configure, and run your first AI agent using Google's Agent Development Kit (ADK). Set up environments, create agents in Python and YAML.
Turn your understanding of agents into practical reality by building, configuring, and running your first AI agent using Google’s Agent Development Kit (ADK). In this hands-on course, you’ll set up a complete ADK development environment, create agents with both Python code and YAML configuration, and run them through multiple interfaces.
You’ll also learn the core parameters that define agent behavior, taking what you learned in course 1 and applying it to working code.
Syllabus
- Environment setup
This module transforms theory into practice by setting up your complete development environment. You’ll install Python, configure the Agent Development Kit (ADK), obtain API credentials, and create your first agent project, laying the essential foundation needed to start building agents.
- Understanding your first agent
This module decodes the anatomy of an agent via the four core parameters that define its identity and behavior. You’ll learn to distinguish between description (what other agents see) and instruction (how this agent acts) and to write instructions that shape agent personality and capabilities.
- Other ways to run your agent
This module expands your agent execution toolkit beyond the web interface, introducing three distinct deployment methods: Terminal commands for quick testing, API servers for production deployments, and programmatic execution for integration into larger applications.
- Agent configuration with YAML
This module introduces a code-free alternative to defining agents through YAML configuration files. You’ll learn when declarative YAML configurations provide advantages over Python code for agent definition and how to create and manage YAML-based agents.
- Reading List
In just 75 minutes, you’ve transformed from understanding agent concepts to actually building and running your own AI agents. You’ve set up a complete development environment, created agents from scratch, experimented with different execution modes, and learned both Python code and YAML configuration approaches.This is no small feat. You've taken the critical step from theory to practice.
Taught by
Google Cloud
Subjects
Artificial Intelligence
