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

Tools & platforms

GeminiLangChainVertex AIAI Studio
Event artwork for Build with AI: From Concept to Deployment - Scaling Multi-Agent Apps

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About this event

What to expect

Ready to build production-grade AI agent systems that won't drain your budget? This intensive hands-on workshop takes you from prototype to deployment, focusing on cost-efficient multi-agent architectures using Google's cutting-edge AI stack. Whether you're struggling with token costs, burn-rate management, or scaling agentic applications, this event delivers practical solutions and real-world implementation patterns.

What You'll Learn

This hybrid event covers the complete journey of building scalable AI systems with Gemini, Vertex AI, and LangChain. The day-long programme tackles critical production concerns: dynamic routing between large and small models, semantic caching strategies, vector search optimization, and intelligent orchestration. You'll move beyond simple chatbots to build distributed AI teams where specialized agents collaborate to solve complex tasks.

Key sessions include Geeta Kakrani on cost-efficient multi-agent systems with dynamic routing and caching, Aditya Joshi building AI agents with Gemini and LangChain in TypeScript, and Gabriel Preda creating healthcare assistants using VertexAI and MedGemma. Chukwuemeka Chukwurah demonstrates building distributed multi-agent systems on Google Cloud, while Nicolas Molina Monroy explores Generative UI with Angular and Hashbrown.

Who Should Attend

This event is designed for developers, engineers, and technical leaders building with AI who need to ship production systems that balance capability with cost. Whether you're working in TypeScript, Python, or exploring Google's Agent Development Kit (ADK), you'll gain hands-on experience with modern agentic patterns. The content assumes basic familiarity with LLMs and cloud platforms but provides clear architectural guidance for implementing advanced patterns.

Hands-On Learning & Resources

Attendees receive Google Cloud credits to continue experimenting after the event. The workshop includes practical codelabs covering tool use, Agent-to-Agent (A2A) communication, iterative feedback loops with LoopAgent, and deployment to Google Cloud Run. You'll work with real implementations including structured outputs with Pydantic, web search integration, and production evaluation pipelines.

The opening keynote from Saheed Adewumi frames the shift from generative AI to the "Agentic Era"—where AI systems possess autonomy to reason, use tools, and execute complex goals with minimal human intervention. Later sessions cover critical pr

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