DevConf Courses

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.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

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.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

CoreOS Demystified - The Specialized OS Powering OpenShift and Containers

Explore Red Hat and Fedora CoreOS features, automatic updates, customization options, and their crucial role in container orchestration and OpenShift environments.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

Extending Quality Management with Audio, Video, and KVM using Podman Quadlets

Explore how Podman Quadlets integrate audio, video, and KVM devices into automotive Quality Management systems beyond traditional backend logic approaches.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

Cloud-Native Model Serving - vLLM's Lifecycle in Kubernetes

Explore vLLM deployment in Kubernetes for efficient LLM inference serving, covering containerization, scaling, monitoring, and performance optimization techniques.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

DevToDeploy - Integrate Your PM and CICD Tool For Systematic and Faster SW Delivery

Discover how to automate software delivery by integrating Jira workflows with CI/CD pipelines using cloud-native services for hands-free deployments and improved release reliability.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

Zero to GitOps - Automating RAG Workloads with Backstage Templates

Discover how to automate RAG chatbot deployment using Red Hat Developer Hub, GitOps workflows, and Argo CD for faster, consistent AI application onboarding.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

Learn How to Run an LLM Inference Performance Benchmark on NVIDIA GPUs

Master LLM inference benchmarking on NVIDIA GPUs using open-source tools on Fedora. Set up drivers, containers, vLLM, and GuideLLM for reliable performance metrics with hands-on demos.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

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.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

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.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

Scanning for FIPS - Building Confidence in Compliance from the Container Up

Discover FIPS compliance for container images using check-payload tool and secure CI/CD integration with Tekton chains for enhanced security standards.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

Sculpting Subspaces - Constrained Full Fine-Tuning for Continual Learning in LLMs

Discover a novel full-parameter continual learning method using adaptive SVD to prevent catastrophic forgetting in LLMs while maintaining knowledge and achieving 7% higher accuracy.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

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.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

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.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Generative AI Model Data Pre-Training on Kubernetes - A Use Case Study

Discover how Kubeflow Pipelines streamline LLM data preprocessing at scale, handling PetaBytes efficiently with Kubernetes orchestration for enterprise AI applications.

• YouTube
• 34 minutes
• Self-Paced
• Free Video