MLOps on Azure, taught from zero: the DevOps to MLOps path for Azure DevOps engineers, ending ready for exam AI-300.
No ML background needed. Every new term is explained the moment it appears, and every lesson ends with a hands-on lab.

Who this is for: Azure DevOps and platform engineers moving into MLOps, and anyone learning MLOps from scratch.

The first series, MLOps from Zero, covers the whole AI-300 skill set (Azure Machine Learning, pipelines, endpoints, monitoring, Microsoft Foundry, prompts, agents, RAG, fine-tuning) and what the exam leaves out: Kubernetes, Prometheus, Grafana, Evidently, AI agents and cost control. Lessons come in Parts of 8 to 15 minutes, one lesson a week.

Also on the menu: DevOps and AI projects from the same kitchen.

Labs: github.com/kovaliovsg/mlops-from-zero