
Learn to install and use Stable Diffusion, including UI setup, model installation, txt2img prompting, ControlNet, img2img, and inpainting. Master AI image generation techniques step-by-step.

Comprehensive introduction to GitOps Toolkit, covering key concepts, components, and practical implementation for Kubernetes cluster management and application delivery using Git-based workflows.

Learn to build a custom Kubernetes controller for managing container images with semantic versioning. Explore admission controllers, webhooks, and practical implementation techniques.

Explore an automated prompt engineering system using GPT models, Elo ratings, and tournaments to generate optimal prompts for specific tasks.

Explore architecting DevOps pipelines for scalable automation, addressing CI/CD challenges, automation types, and continuous performance optimization strategies.

Explore transfer learning in medical imaging, focusing on deep learning applications, performance evaluation, and feature similarity analysis using CCA. Insights on ImageNet models and chest X-rays included.

Learn to build an automated MLOps workflow using Git, GitHub, and open-source tools, covering the entire ML model lifecycle from data labeling to prediction monitoring.

Learn to create automated videos with audio using Stable Diffusion AI models in Python. Hands-on tutorial covers installation, GUI usage, pipeline implementation, and provides GitHub resources.

Learn to deploy a JoJoGAN face stylization model using Gradio in Google Colab. Hands-on tutorial covers model setup, inference code, GPU-to-CPU conversion, and creating a public web application interface.

Comprehensive tutorial on GitHub Actions, covering workflows, secrets, testing, and productivity enhancements. Learn to set up automated processes and improve development team efficiency.

Explore GitLab's secure code shipping practices, tools, and industry best practices. Learn how they leverage HackerOne's community for swift security issue detection and prioritization.

Learn to implement Git-based MLOps for continuous delivery, automating workflows, and enabling collaboration. Explore open-source tools and hosted ML platforms with a live demo on streamlining ML pipelines.

Comprehensive guide to setting up an end-to-end machine learning project, covering GitHub repository creation, environment setup, and initial code commits.

Comprehensive guide to building and deploying a machine learning project, covering problem definition, exploratory data analysis, feature engineering, and model training.

Learn to install and use HACS (Home Assistant Community Store) for easy access to community-developed integrations and frontend features. Includes GitHub setup and step-by-step installation guide.

Learn to deploy from VS Code using GitOps and Kubernetes without extensive expertise. Discover how to set up safe, reliable, and automated systems for efficient app development and deployment.

Explore Teachers Pay Teachers' journey implementing GitOps and ArgoCD, covering implementation choices, sync strategies, configuration management, and lessons learned in improving their CICD platform.

Automating cloud native app development with integrated security testing, from building and scanning to packaging and deployment, all within a single pull request for consistency and efficiency.

Explore the GitOps Working Group's progress, principles, and future plans in this insightful overview by industry experts.

Experts discuss GitOps journey, sharing experiences with tools like Argo and Flux. Learn about origins, benefits, challenges, and lessons learned in improving deployment and security practices.

Explore Swisscom's cloud-native transformation, leveraging GitOps and DevOps practices to revolutionize 5G Core infrastructure management and streamline deployment of network functions on Kubernetes.