ADK Course Series
From Demo to Production
Production-grade AI agent development with Google ADK. 6-day core curriculum plus specializations covering architecture, security, interoperability, deployment, and evaluation. What breaks in productionâand how to fix it.
10 Courses
â Back to all coursesAdvanced Agent Use Cases
Enterprise integration patterns and complex orchestration. Morning: Google Workspace agents, QA testing with Thinking Mode. Afternoon: Multi-agent architectures, personas, and trust protocols (AP2).
Agentic Architecture & Design
Build production-ready AI agents from foundations to deployment. Master the cognitive loop, design patterns (Sequential, Router, Parallel), tool integration, and state management. Hands-on workshop approach with 20% theory, 60% labs, 20% building your own agent.
Enterprise Security & Governance
Secure your AI agents for production deployment. Deep dive into IAM configuration, VPC Service Controls, guardrails implementation, and Human-in-the-Loop (HITL) approval workflows. 50/50 theory/practice balance.
Evaluation & Optimization
Quantify agent quality and optimize performance. Day 1: Evaluation frameworksâtrajectory analysis, RAGAS, golden dataset creation. Day 2: Performance testing with Locust, model cascading, and cost optimization.
Interoperability & Integration
Connect agents via MCP and A2A protocols. Day 1: Model Context Protocol (MCP)âthe "USB-C for AI". Day 2: Agent-to-Agent (A2A) protocol for decentralized intelligence.
Java ADK Development
Build agents using Java ADK for enterprise Java teams. Morning: Java ADK fundamentalsâdifferences from Python ADK, Maven/Gradle setup. Afternoon: Stateful Java agents with AlloyDB integration.
Low-Code Agent Development
Build agents without code using ADK Visual Builder. Create agents with sub-agents, custom tools, and workflow patternsâall through a visual interface. Perfect for business analysts and citizen developers.
Multimodal Agents
Build agents that process images, audio, and video. Morning: Multimodal tool interactionâcallbacks, context modification. Afternoon: Production multimodal agents with Gemini 2.5 and Firestore integration.
Production & Operations
Deploy agents with CI/CD pipelines and observability. Condensed 1-day intensive covering Cloud Run deployment, GitHub Actions pipelines, structured logging, Cloud Trace, and monitoring dashboards.
RAG & Knowledge Agents
Build agents with retrieval-augmented generation. Day 1: RAG fundamentalsâpipelines, agentic RAG, retrieval strategies. Day 2: Advanced knowledge integrationâGraphRAG, vector search, AlloyDB embeddings.