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Build with AI: From Concept to Deployment - Scaling Multi-Agent Apps

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About this event

What to expect

Master the art of building production-ready AI agent systems at this intensive hybrid workshop hosted by Google Developer Group Ahlen. This full-day technical deep-dive tackles the real challenges of deploying multi-agent architectures: cost management, token efficiency, and scalable orchestration using Google's AI platform.

What Makes This Workshop Essential

While most AI events stop at chatbot demos, this session focuses on architecting agent teams that execute complex workflows in production. You'll move beyond simple prompt engineering to build distributed systems where specialized AI agents collaborate, reason, and take autonomous action — without burning through your budget.

The workshop centres on practical implementation using Gemini, Vertex AI, AI Studio, and Google's Agent Development Kit (ADK), with particular emphasis on cost-efficient patterns like dynamic routing, semantic caching, and hybrid architectures that balance capability with burn rate.

Hands-On Learning Track

The day progresses through seven intensive sessions, each building on practical patterns:

Foundation & Architecture — Geeta Kakrani demonstrates cost-efficient multi-agent systems with dynamic routing between large and small models, semantic caching for response reuse, and vector search for context-aware retrieval.

Agent Development in TypeScript — Aditya Joshi walks through building functional AI agents using Gemini and LangChain's TypeScript SDK, covering tool binding, reasoning loops, function-calling, memory patterns, and production reliability.

Domain-Specific Applications — Gabriel Preda showcases healthcare AI using VertexAI, MedGemma, and Antigravity to build a medical assistant with image interpretation, guardrails, orchestration, and validation.

Distributed Systems — Chukwuemeka Chukwurah leads a codelab creating a Course Creation System using ADK, implementing specialized agents for research, evaluation, and content generation with A2A communication and deployment to Google Cloud Run.

Generative UI — Nicolas Molina Monroy explores how Gemini integrates with Angular and Hashbrown to create dynamic, adaptive interfaces that evolve in real-time based on user context.

Production Readiness — Amira Best covers evaluation frameworks for AI agents, including offline vs online approaches, golden dataset creation, LLM judges, and building continu

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