Build multi-agent AI A2A + Cloud Run | Hands On AI (Part 2)

Description

GCP credit → https://goo.gle/handson-ep1-lab2 Codelab & source code → https://goo.gle/summoner Try Google ADK → https://goo.gle/4bWK6la Watch the first video here. → https://goo.gle/handson-ai-ep1 Build and deploy a production ready multi-agent AI system using Agent-to-Agent (A2A) Protocol, memory & state management, and Google Agent Development Kit (ADK) on Google Cloud Run. This is part 2 of our hands on RPG themed multi-agent lab series. 🗡️ What developers can learn in part 2: ✅ How to implement Agent-to-Agent (A2A) Protocol for direct agent communication. ✅ How to manage agent memory and state across multi-agent workflows . ✅ How to use agent callbacks to control and customize agent behavior. ✅ How to deploy a multi-agent system to Google Cloud Run. ✅ Production ready patterns for agentic AI on Google Cloud. More resources: A2A documentation → https://goo.gle/4bBSPYN ADK Sample → https://goo.gle/4rQKWVn Cloud Run Documentation → https://goo.gle/3PxbMnW 🔔 Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech Speaker: Ayo Adedeji, Annie Wang Products Mentioned: Agent Development Kit, Model Context Protocol, Agent-to-Agent Protocol, Cloud Run