Cursussen
18809 Cursussen
How I Trained an AI Model to Beat the 1990's Arcade Game Double Dragon
Discover how to train AI models using Kubernetes and KubeRay on OpenShift through a Double Dragon arcade game example, covering distributed computing and reinforcement learning techniques.
Where AI is Going - and Where It Isn't
Explore realistic predictions about AI's future trajectory, distinguishing between genuine possibilities and overhyped expectations in this focused analysis.
Neural Networks in Deep Quantum-Classical Architectures
Explore hybrid quantum-classical neural networks and their deep architectural implementations for advanced computational systems.
Magical AI World - Resources, Labour, and AI and How It Is Changing Societies
Uncover the hidden costs and societal impacts of AI technology, examining resource consumption, labor conditions, and power shifts behind the "magical" promises.
Unlocking Business Insights with Natural Language and Generative AI
Explore how IBM's Semantic Layer uses generative AI to transform natural language queries into SQL, enabling business users to analyze data without technical barriers.
An AI/ML-Driven Approach to Platform Lifecycle Management
Discover how to build self-service AI/ML infrastructure on Kubernetes with ClusterAPI, enabling dynamic provisioning, policy enforcement, and observability for scalable platform engineering.
Image Mode for AI Inference Across the Hybrid Cloud
Explore RHEL bootc image mode to build, deploy, and manage operating systems like containers, plus learn to package AI tools for hybrid cloud inference deployment.
Putting AI Agents to Work - A New Era of Open Source Connectivity with MCP
Discover how to build scalable AI agents using Model Context Protocol (MCP) for seamless connectivity with real data sources, vLLM, Llama Stack, and Kubernetes deployment.
Upstream Communities - Key Partners in UX Research
Discover how to leverage open source communities as valuable UX research participants, exploring engagement strategies, challenges, and lessons from Kubeflow community research.
Unlocking Smarter AI with Inference-Time Scaling
Discover how Inference-Time Scaling optimizes AI model performance by reallocating computational resources during inference, bypassing costly retraining while enhancing output quality.
OpenShift Installer - Past, Present, and a Potential Future
Explore OpenShift installer evolution from historical foundations through Terraform-to-Cluster API transition to future AI and MCP integration possibilities.
Docling - Get Your Documents Ready for Gen AI
Discover Docling, the open-source Python package transforming document parsing for AI applications with support for PDFs, DOCX, images, and seamless integration with LlamaIndex and LangChain.