This module transforms basic instructions into professional agent guidance systems. You’ll learn structured patterns for defining agent persona, role, boundaries, and communication style—turning simple prompts into sophisticated behavioral frameworks grounded in ADK best practices.

The problem: Vague instructions create unpredictable behavior

The solution: Structured instructions

Quiz Question 1

Quiz Question 2

Advanced instruction writing

This module transforms unpredictable text responses into reliable, structured JSON output that systems can parse and use. You’ll learn how to use Pydantic schemas to enforce output format, making your agents production-ready for integration with applications, databases, and workflows.

The problem: Unpredictable output breaks integrations

The solution: Structured output with pydantic

Quiz Question 3

Structured output

This module empowers you to strategically select models and configure generation parameters for optimal performance. You’ll learn when to use Flash versus Pro models, how to set safety thresholds, and how to fine-tune temperature and token limits—transforming basic agents into production-optimized systems.

The problem: One size doesn’t fit all

The solution: Strategic model configuration

Choosing and configuring models

This module adds multi-step reasoning to your agents, transforming them from reactive responders into thoughtful problem-solvers. You’ll learn how to enable Gemini’s built-in thinking capabilities using BuiltInPlanner, allowing agents to plan their approach before executing—essential for complex, multi-step tasks.

The problem: Complex tasks need structured thinking

The solution: Planning with BuiltInPlanner

Planning for complex tasks

Reading List

You’ve built your first agent—now it’s time to take it further. In this course, you’ll advance your skills by learning how to turn a basic AI agent into a sophisticated, precise assistant—applying advanced instructions, model selection, planning capabilities, and structured output patterns. Join the community forum for questions and discussions

Optimize AI agent behavior with advanced instructions, model selection, planning capabilities, and structured output patterns using Google ADK.

Google: Optimize Agent Behavior

Turn a basic AI agent into a sophisticated assistant using advanced instructions, model selection, planning capabilities, and structured output.


The solution: Structured output with pydantic

Google: Optimize Agent Behavior

Hands-on interactive exercise