Overview:
As AI agents become increasingly capable, we’re stepping into a new era where a single agent may not hold all the domain knowledge needed for a complex task. That’s where Agent-to-Agent (A2A) collaboration comes in, which is agents reaching out to other agents, sharing abilities, and combining strengths. In this webinar, you’ll learn how to deploy a custom agent using the Agent Development Kit (ADK), turn it into a server, and enable secure A2A traffic using the agent gateway data-plane.
What you’ll get from this session:
A clear explanation of what A2A means, why it’s important, and how it differs from other approaches like fine-tuning or retrieval-augmented generation. Step-by-step guidance on setting up a custom agent: creating the agent with ADK, customizing it (for example, as a Kubernetes specialist), and running it as a server. How to configure and use agent gateway to secure and route your A2A traffic. A live demo (or walkthrough) of deploying your agent server, launching agent gateway, and verifying the connection via a UI or playground environment.
Who should attend:
AI/ML engineers and developers building custom agents or multi-agent systems. DevOps, SREs or platform engineers interested in integrating agents into Kubernetes or similar infrastructures. Architectures/integrations leads exploring next-gen workflows where multiple AI agents collaborate rather than operate in isolation.
