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 objective of this workshop is to help participants understand why AI models alone are insufficient for delivering enterprise value and how enterprise context becomes the key differentiator in Agentic AI systems. Through a combination of concepts, architecture patterns, and a hands-on demonstration, participants will learn how to design and implement a Context Layer that enables AI agents to reason across enterprise systems, understand business semantics, and generate reliable, explainable outcomes. Know More

Modern AI applications combine models, serving frameworks, agents, and accelerator software into a complete stack. This hands-on workshop introduces AMD's ROCm AI stack and demonstrates how to develop and run multimodal AI applications on AMD GPUs. Participants will gain practical experience using enterprise-class AMD GPU infrastructure through the AMD GPU Developer Cloud. During the workshop, attendees will create an OpenClaw-based AI agent, connect it to a model-serving stack powered by vLLM or SGLang, and explore the key components of modern AI systems. 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

Moving an LLM application from prototype to production requires more than choosing a model. This workshop demystifies the context architecture behind production AI—prompts, RAG, memory, tools, agents, identity and data flows—and shows how these layers change the security model. Through practical patterns and demonstrations, participants will learn how to identify trust boundaries, assess prompt injection, data leakage and unsafe tool-execution risks, design layered guardrails, and validate controls before 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

Get hands-on visibility into the coding agents you already use. In this two to three-hour workshop, you’ll use Nasiko, an open-source project written in Rust, to discover coding agents on your laptop, inspect usage and cost attribution across models and sessions, and configure routing across supported model providers. 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

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