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Course

Google: Build Your First Agent with Agent Development Kit (ADK)

Intermediate1 hr 30 min

Build, configure, and run your first AI agent using Google's Agent Development Kit (ADK). Set up environments, create agents in Python and YAML.

R1 hr 30 min14 Exercises700 XP264Statement of accomplishment

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Course Description

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.

Prerequisites

There are no prerequisites for this course

Curriculum

Course outline

1

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.
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2

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.
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3

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.
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4

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.
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5

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.
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