Google Cloud

Optimize Agent Behavior

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Google Cloud

Optimize Agent Behavior

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Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
2 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
2 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Writing sophisticated multi-section instructions

  • Creating consistent agent personalities

  • Implementing ethical boundaries

  • Using examples to guide behavior

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the Google Cloud AI Agents: From Foundations to Enterprise Scale Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 5 modules in this course

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.

What's included

2 readings1 assignment

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.

What's included

2 readings1 assignment

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.

What's included

2 readings1 assignment

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.

What's included

2 readings1 assignment

Reading List

What's included

1 reading

Earn a career certificate

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Instructor

Google Cloud Training
Google Cloud
2,322 Courses4,527,215 learners

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Google Cloud

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