I want a working, enterprise-grade demo that shows how AI can streamline DevOps on AWS/Azure. Think of it as a small yet realistic environment I can spin up, explore, tear down, and rebuild while learning best practices along the way. The demo should cover the full lifecycle: provisioning infrastructure as code, integrating an AI-powered component that predicts or remediates pipeline issues, and deploying a sample application through an automated CI/CD flow. Everything must run natively on Azure services. Key deliverables • Source code and IaC templates (ARM/Bicep or Terraform) • AI automation logic (Azure OpenAI, ML Studio, or similar) integrated into the DevOps pipeline or AWS tool set • Step-by-step setup guide plus video or annotated screenshots for hands-on learning • Clear teardown script to avoid leftover resources Acceptance criteria • One-click (or single-command) deployment succeeds in a fresh AWS/Azure subscription • Pipeline self-heals or optimizes at least one build/test stage using AI inference • Documentation enables a mid-level engineer to reproduce results without assistance When you reply, focus on your experience building comparable AWS AI or Azure AI or DevOps solutions. A concise overview of two or three relevant projects is enough for me to gauge fit.