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Google /dev/cloud day Amsterdam

Join us for a day of technical talks and hands-on workshops about Google Cloud and Generative AI

February 18, 2025

08:30–17:00 CET

Claude Debussylaan 34

Amsterdam, 1082 MD

Get started building with expert guidance, together with us.


Join the Google Cloud Advocacy team for a day of technical sessions, hands-on demos, live coding, networking, workshops, and more.


Register now to join us in person at the Google office in Amsterdam for a day of learning and connection. Don’t forget to bring your laptop!


You’ll learn how to:


  • Get started with building applications on Cloud Run and dive deep into its advanced features.
  • Use Gemini 2.0 to build real-time voice and video apps, integrate Google Search for advanced workflows, and detect objects in images and video.
  • Use evaluation frameworks to ensure your LLM apps are safe, and overcome challenges like hallucinations, outdated information, and chaotic output formats.


Whether you're an experienced developer or just getting started, this event is your ticket to get started with Google Cloud, or to dive in really deep with our product experts.


Important: All attendees should bring their own laptops for the hands-on labs.


Register now to reserve your spot. Limited seats available.


Photographs and videos will be taken at this event, and the same may be used for promotional purposes, such as on the event's website, social media, and other marketing materials. 


By registering for this event, you consent to the use of your image and visual likeness in our marketing materials. If you do not wish for your visuals to be included in potential marketing materials, please inform your Google Cloud representative as soon as possible.





Speakers

mete-atamel-image
Mete Atamel

Developer Relations Engineer at Google

wietse-venema-image
Wietse Venema

Developer Relations Engineer at Google

guillaume-laforge-image
Guillaume Laforge

Developer Relations Engineer at Google

adnan-hozdic-image
Adnan Hodzic

Tech Lead at ING

daniel-starmer-image
Daniel Stamer

Netrunner Lead at Google

Esther Lloyd speaker image
Esther Lloyd

Application Development Engineer at Google

Agenda

08:30–09:30

Registration

Location: Center Stage 8th floor

09:30–09:45

Opening remarks

Location: Center Stage 8th floor

09:45–10:15

Gemini 2.0 for developers

Discover Gemini 2.0, Google's new experimental generative AI model. Learn to build real-time voice and video apps with the Multimodal Live API, integrate Google Search to create advanced workflows, and detect objects in images and video using natural language prompts. Explore Gemini 2.0's improved multimodal understanding, coding, and complex instruction following – making it ideal for developing AI agents. Get a preview of unreleased, allowlist-only features like customizable speech generation (control tone, pace, accent, and intonation) and image generation. Plus, learn where all the great notebooks and tutorials are for learning more. After this session, you'll be ready to build with Gemini 2.0 on Google Cloud and other platforms.


Location: Center Stage 8th floor

Speaker: Mete Atamel

10:15–10:45

How I replaced myself with a generative AI chatbot using Gemini

As the author of auto-cpufreq, a popular open-source Linux utility that automatically optimizes CPU speed and power usage, I was facing daily support requests. To help alleviate this, I built a chatbot using Vertex AI Agent Builder and Gemini. This chatbot automates answers to common user questions about installation, configuration, and troubleshooting. It uses a diverse dataset including GitHub issues, YouTube videos, my own Reddit comments, blog posts, the project README, and more, allowing it to provide instant support. In this talk, I'll demonstrate how the chatbot works, and dive into the development process.


Location: Center Stage 8th floor

Speaker: Adnan Hodzic, Tech Lead at ING (Cloud Champion)

10:45–11:00

Break

11:00–11:30

Live coding magic tricks with Gemini Code Assist

Can you build a Node.js web app without writing code? In this live coding session, Esther explores the practical capabilities of Gemini Code Assist, attempting to build and deploy a functional application on Google Cloud using only prompts. Expect her to get real about what's possible (and what's not) with AI-driven development, showcasing both the potential and the current limitations. This session is perfect for developers of all levels interested in AI-assisted coding and the future of software.


Location: Center Stage 8th floor

Speaker: Esther Lloyd

11:30–12:00

A practical introduction to retrieval augmented generation

This talk introduces Retrieval-Augmented Generation (RAG), a technique that grounds Large Language Model (LLM) responses in retrieved data to enhance accuracy and relevance. Through practical examples with LangChain4j in Java, the session covers RAG fundamentals, including architecture, implementation, and basic chunking. It then progresses to advanced techniques: sophisticated chunking, query compression, routing, metadata filtering, content aggregation, and re-ranking.


Location: Center Stage 8th floor

Speaker: Guillaume Laforge

12:00–13:00

Lunch

13:00–13:30

Breakout session 1: Beyond the prompt: evaluating, testing, and securing LLM applications


When you change prompts or modify the Retrieval-Augmented Generation (RAG) pipeline in your LLM applications, how do you know it's making a difference? You don't—until you measure. But what should you measure, and how? Similarly, how can you ensure your LLM app is resilient against prompt injections or avoids providing harmful responses? More robust guardrails on inputs and outputs are needed beyond basic safety settings.

In this talk, we'll explore various evaluation frameworks such as Vertex AI Evaluation, DeepEval, and Promptfoo to assess LLM outputs, understand the types of metrics they offer, and how these metrics are useful. We'll also dive into testing and security frameworks like LLM Guard to ensure your LLM apps are safe and limited to precisely what you need.


LocationCenter Stage 8th floor

Speaker: Mete Atamel


Breakout session 2: The ultimate Cloud Run guide: From zero to production


Cloud Run is a fully managed platform that enables you to run your code directly on top of Google's scalable infrastructure. Cloud Run is simple, automated, and designed to make you more productive. Learn how to get started, and dive deep into even the most advanced features to learn how to make the most of Cloud Run.


Location: Tech Talk 15th floor

Speaker: Wietse Venema

13:30–15:45

Workshop 1: Gemini with Vertex AI and LangChain


This hands-on workshop gets you building with Gemini in Java or Python. You’ll learn how to send prompts to Gemini, handle streaming and synchronous responses, build a chatbot, process text and image inputs, extract structured data from raw text, use prompt templates, perform sentiment analysis, and implement Retrieval Augmented Generation (RAG). You’ll even learn how to use Gemma, Google’s open model on your local machine with Ollama. You'll leave with the skills to use Gemini in your Java or Python projects immediately with LangChain and LangChain4j.


Location: Center Stage 8th floor

Speakers: Guillaume Laforge and Mete Atamel


Workshop 2: Cloud Runner 2049


Synth City is under threat. A powerful corporation's sinister plans have been uncovered by Synthia, a friendly AI with a rebellious spirit. In Cloud Runner 2049, you'll join Synthia to save the city. Immerse yourself in a neon-drenched world, master Google Cloud skills like Pub/Sub, Cloud Run, and Cloud Storage through five engaging quests, and thwart the corporation's catastrophic plot.


Location: Tech Talk 15th floor

Speakers: Daniel Stamer and Wietse Venema



15:45–16:00

Wrap up, survey, and raffle

Location: Center Stage 8th floor

16:00–17:00

Networking

Location: Center Stage 8th floor

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