GDG Cloud Oslo and Oslo Python meetup are excited to invite you to an event consisting of a series of talks, focusing on GenAI, LLMs, Agents and all things AI. We hope you are as excited as we are!

Schedule – scroll down to see the abstracts and information about the speakers:

17:00 - 18:00: Mingling, food, and drinks

18:00 - 18:45: Presentation I (open slot)

18:45 - 19:30: Presentation II (open slot)

19:30 - 20:15: Presentation III (open slot)

20:15 - 21:00: Mingling

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Speaker 1: Jakob Pörschmann, AI & ML Customer Engineer, Google.

Jakob is a technologist, ml enthusiast and indie hacker from Berlin. Currently he builds generative ai solutions at Google.

Title: Agents talking to agents: Designing Agent Ecosystems with the A2A Protocol

Abstract: In 2025 everyone is talking about agents… But how many have you seen in production? Once built, they still operate in silos. Getting agents to collaborate effectively is a major challenge of agent adoption. Enter A2A: An open protocol designed to define how agents share capabilities and interact. This talk provides a developer-focused deep dive into the protocol's architecture, key message types, and practical implementation patterns. Based on a real-world application, we will discuss how A2A facilitates agent discovery, negotiation, and task execution, enabling you to build complex, collaborative systems more effectively.

Speaker 2: Rustam Mehmandarov, Senior Software Engineer, SpareBank 1 Utvikling

Java Champion, Google Developer Expert (GDE) for Cloud, Docker Captain. Public speaker, mentor & community leader. All things Java, Cloud, AI/ML, data, and open source.

Title: Infusing Java with AI - 5 Tips and Strategies for GenAI-Powered Applications

Abstract: AI is transforming software development, and Java is no exception. But are you ready to move beyond simple API calls and truly integrate Generative AI into your applications?

In this talk, we will discuss 5 advanced strategies for building intelligent, resilient, and scalable Java applications powered by LLMs. From local LLM deployments to architecting complex AI workflows, mastering context management, and leveraging LLMs for powerful data transformation, we will help you discover how to leverage GenAI to solve real-world problems and gain a competitive edge. This isn't your average AI 101 – prepare to level up your Java skills for the age of AI.

Prepare for the examples using Jakarta EE specs, LangChain4J and Quarkus.

Speaker 3: Jon Nordby, Head of Data Science, Soundsensing

Jon is a Machine Learning Engineer specialized in sensor data. He is Head of Data Science at Soundsensing, and maintainer of open-source TinyML library emlearn.

Title: Building sensors with MicroPython and on-edge machine learning with emlearn

Abstract: Did you known that (Micro)Python can scale all the way down to microcontrollers that have less than 1 MB of RAM and program memory?

Such devices can cost just a few dollars, and are widely used to measure, log, analyze and react to physical phenomena. This enables a wide range of useful and fun applications - be it for a smart home, wearables, scientific measurements, consumer products or industrial solutions.

In this talk, we will demonstrate how to get started with MicroPython on a ESP32 microcontroller. We will first show how to create a basic Internet-connected sensor node using simple analog/digital sensors.

And then we will show how to create advanced sensors that use Digital Signal Processing and Machine Learning to analyze microphone, accelerometer or camera data.