Workshops 2026

By the end of this workshop, participants will understand the core ideas of quantum computing — qubits, superposition, entanglement, and quantum gates — without any math, and will have written and run their own quantum circuits in Python using open source Qiskit. Know More

Give participants a practical path from using MariaDB to contributing to it. The workshop will show how MariaDB development and contribution workflows work, use Foundry to make the build-test-iterate cycle approachable, and guide attendees through creating and testing a simple MariaDB plugin/extension. Know More

The hands-on workshop will show that a working AI-capable ASIC can be taken from RTL to a fabrication-ready GDSII using only open-source tools and open PDKs - no proprietary EDA licences. In two hours, attendees walk the complete path to production Know More

Kubernetes, while powerful, can be notoriously complex to troubleshoot. This session introduces k8sgpt, a revolutionary tool that leverages the power of Gemini (Google's cutting-edge LLM) to simplify Kubernetes logging and troubleshooting. We'll explore how k8sgpt analyzes Kubernetes logs, events, and resource metrics, using Gemini to provide human-readable explanations and actionable solutions. Know More

Show what it takes to put an AI agent on top of enterprise data in industries where every answer may be audited. Using two live builds on public data — a clinical trial landscape assistant for pharma and a near-real-time fraud-scoring pipeline for banking — we demonstrate an agent that discovers schema over MCP, applies the organisation's definitions through a semantic layer, runs inference inside the database, and leaves a query log that can be replayed months later. The aim is that attendees leave knowing the difference between an agent that has been handed database access and a database built for agents. Know More

A technical deep dive into turning static LLMs into dynamic agents that can use tools, search data, and reason Know More

Show attendees how to build an offline AI voice assistant from scratch using open-source models. By chaining open speech-to-text, local LLM reasoning, and text-to-speech, participants will build a private assistant capable of running daily automations without third-party APIs. Attendees will get hands-on experience running inference directly against an on-site NVIDIA DGX Spark, giving them a first-hand look at how a compact AI supercomputer powers local reasoning in real time. Know More