MLOps

Machine learning operations, model deployment, and ML pipelines

Part 1

Understanding Machine Learning and Models

A beginner-friendly guide to what Machine Learning is and what we mean by a 'model'.

January 6, 2026

Part 2

How to Build an ML Model

A step-by-step guide to building your first machine learning model, from raw data to making predictions.

January 7, 2026

Part 3

What is MLOps and Why It Matters

MLOps is DevOps for machine learning - the practices that take a model from a notebook to production and keep it running reliably.

January 8, 2026

Part 4

The Machine Learning Lifecycle

A complete walkthrough of every stage in the ML lifecycle - from defining the problem to monitoring in production - and what actually happens at each step.

January 9, 2026

Part 5

Data Versioning for Machine Learning

Why versioning data matters as much as versioning code, and how tools like DVC make it practical for ML projects.

April 27, 2026

Part 6

Getting Started with MLflow

A practical introduction to MLflow - experiment tracking, model registry, and how it fits into your ML workflow.

April 28, 2026