Category
ML concepts, terminology, and the mental model shift from DevOps to MLOps. Start here if you're new to machine learning.
Recommended reading order: start with ML Basics, then continue to DevOps to MLOps.
Understand the ML workflow, core terminology, and the Python ecosystem. Train your first model with scikit-learn and MLflow. Maps ML concepts to things you already know from CI/CD.
FoundationThe mental model shift from deterministic to probabilistic systems. MLOps maturity levels, a complete tool mapping, and a concrete 90-day learning plan to get production-ready.
After completing the Foundation guides, move on to the MLOps Pipeline category.