AI agents are quickly becoming a core pattern in modern AI applications, but many implementations start with prompts and improvisation rather than sound engineering principles.
In this talk, we explore how to build AI agents the right way using Google’s Agent Development Kit (ADK).
Instead of focusing only on models, the session emphasizes the system-level thinking needed to design reliable and scalable AI agent systems for real-world applications.
Through practical insights and examples, attendees will learn how ADK helps structure agent workflows, integrate external tools, and move from experimental prototypes to production-ready services.
🎯 What we'll cover:
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How to design AI agents using Google Agent Development Kit (ADK)
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The importance of system-level thinking when building reliable agents
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How decision loops help agents reason, plan, and act
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Ways to integrate external tools and APIs into agent workflows
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Best practices for context management and agent architecture
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How to move from prototypes to production-ready AI agents
Don’t miss this opportunity to deepen your understanding of agent development and learn how to build robust, production-ready AI agents using ADK.🚀
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