Building distributed multi-agent systems

Google Cloud Tech · Intermediate ·🤖 AI Agents & Automation ·1mo ago

Key Takeaways

Builds a distributed multi-agent system using specialized AI roles, including a self-correcting course creation pipeline

Original Description

For our next livestream, we’re getting hands on to show you how to build distributed multi-agent systems. Single LLMs hit a wall with real world complexity. To solve complex problems, you need specialized AI roles working together. Join us as we build a self correcting Course Creation Pipeline from scratch and move it from local dev to production. What we’re covering: * Specialized agents: Building a tool using Researcher and a Pydantic-powered Judge. * Smart orchestration: Using LoopAgent and SequentialAgent to manage automated feedback loops. * Cloud deployment: Testing locally with the ADK and deploying to Google Cloud Run via the A2A protocol. Live Q&A: Get your architectural questions answered by the experts. Stop building isolated bots and start engineering resilient AI teams. This livestream will air on May 26, 2026 at 9:00 A.M. PDT / 12:00 P.M. EDT. Speakers: Priya Pandey, Shir Meir Lador Products: Cloud Run, Agent Development Kit
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