Building Multi-Agent Systems with Google ADK — Complete 3-Hour Course (Agents + Docker + Cloud Run)

This comprehensive 3-hour course teaches how to build production-ready multi-agent AI systems using Google's Agent Development Kit (ADK). The course covers agent architecture, implementation patterns, Docker containerization, and deployment to Google Cloud Run. Participants learn to create sophisticated AI systems that coordinate multiple specialized agents to solve complex problems at scale.

Key Points

• •Google ADK provides a framework for building, orchestrating, and deploying multi-agent systems with built-in patterns for agent communication and coordination
• •Agent architecture design requires defining clear responsibilities, communication protocols, and state management across multiple specialized agents
• •Docker containerization enables consistent packaging of multi-agent systems for reproducible local development and cloud deployment
• •Google Cloud Run provides serverless deployment for multi-agent systems with automatic scaling, reducing infrastructure management overhead
• •Agent composition patterns include hierarchical agents, peer-to-peer coordination, and message-based communication for complex workflows
• •Production-ready systems require proper error handling, logging, monitoring, and graceful degradation when individual agents fail
• •ADK integrates with Google Cloud services (Firestore, Pub/Sub, Cloud Tasks) for persistent state, asynchronous messaging, and reliable task execution
• •Testing multi-agent systems requires mocking agent interactions, simulating failure scenarios, and validating coordination logic across agents
• •Cost optimization in cloud deployments involves right-sizing container resources, using Cloud Run's pay-per-request model, and implementing efficient agent communication
• •Security considerations include authentication between agents, encryption of inter-agent messages, and proper IAM role configuration for cloud resources

Workflow Diagram

Concepts