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. ***IMPORTANT: Please register on* \*\*\*[HERE](https://bit.ly/4sLWiua) \*\*\**to secure your sport.*** 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\~7:30pm: Tech talks and Hands-on Workshop \* 7:30pm\~8:00pm: Q&A, wrap-up ⚡️ Workshop 1 — Foundations: Build Your Own Pipeline ​Start from scratch and assemble a complete data pipeline using Aiven services. \- Provision and manage services -Connect systems into a unified pipeline ​- Build an observability setup \- ​Query real\-time data across services using SQL ​​ ⚡️ Workshop 2 — Advanced: Real-Time Retail Streaming Pipeline ​Go deeper with a real, production-inspired use case. \- ​Design and implement a high\-quality streaming pipeline \- Work with real\-time retail data flows \- Apply best practices for scalability and reliability What you’ll learn: * Deploy and scale OpenSearch for production * Best practices for vector and hybrid search * Build efficient real-time data pipelines * Design and optimize RAG architectures ​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. ​ **RSVP is not enough. You must apply for a ticket here:** [https://bit.ly/4sLWiua](https://bit.ly/4sLWiua)