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About us

Join us to learn and practice AI, Generative AI, LLMs, Agentic AI, Machine Learning, Deep Learning, MLOps, ML and Data engineering together with like-minded developers.

Our goal is to congregate with AI enthusiasts from all over Berlin area to learn and practice AI tech, through tech talks, workshops, code labs etc.. we regularly invite tech leads from innovated companies, successful startups to share their practice experiences and practices in the world of AI, GenAI, LLMs, Agentic AI, MLOps, Data.

If you’d like to speak at our meetups, co-host your events, or inquire about partnership opportunities, please feel free to reach out to us.
https://www.aicamp.ai

Open Source Data Workshop with Aiven and Google

Open Source Data Workshop with Aiven and Google

Techspace Eiswerk, Techspace Eiswerk, 40-41 Köpenicker Straße, 10179 Berlin, Berlin, DE

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.

  • Photo of the user
1 attendee

Upcoming events

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  • Open Source Data Workshop with Aiven and Google

    Open Source Data Workshop with Aiven and Google

    Techspace Eiswerk, Techspace Eiswerk, 40-41 Köpenicker Straße, 10179 Berlin, Berlin, DE

    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.

    • Photo of the user
    1 attendee

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Organizers

kevinl is a Super Organizer

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