Try for free
AI Lab: Open Source Data with Aiven and Google
Event PAST

AI Lab: Open Source Data with Aiven and Google

07 May Online

Join this event

🎟️ Register / View Event Details

About this event

Important: Register on the AICamp event website is required for admission.

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~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.

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 DevFound.ai. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support