Join Aiven and Google Cloud for a hands-on lab to learn building data infrastructure for AI applications in production, and how to run OpenSearch in production for AI and GenAI workloads.

This interactive, instructor-led workshop is designed for developers and data engineers who want to build and run real-world data pipelines using open source tools.

Note: Bring your laptop, we’ll be shipping code together.

Agenda:

• 5:00pm~5:30pm: Check-in, Food, Networking
• 5:30pm~6:00pm: OpenSearch x AI best practices presentation
• 6:00pm~6:15pm: Q&A
• 6:15pm~6:30pm: Break
• 6:30pm~7:00pm: OpenSearch x AI Hands-on workshop
• 7:00pm~8:00pm: Q&A, Networking, wrap-up

What you’ll learn:
We’ll start from scratch and cover everything you need to know about using OpenSearch with AI

• Deploy and scale OpenSearch for production
• Best practices for vector and hybrid search
• Design and optimize RAG architectures
• Combine OpenSearch with other Aiven services to build efficient real-time data pipelines

​Why attend?

• Build a production-style data pipeline
• Learn how to connect Kafka, ClickHouse, OpenSearch, and PostgreSQL into a working, real-time architecture.
• Learn by doing and Apply proven patterns
• Provision services, stream data, and run queries yourself using both UI and CLI workflows.
• Walk away with practical approaches you can reuse for streaming, analytics, and observability use cases.

Who Should Attend:
Developer and data engineer, interested in moving from prototype to production with OpenSearch.

Venue:
Techspace Eiswerk Berlin