MLOps Tutorials

See how an end-to-end MLOps pipeline predicts World Cup 2026 results, from automated retraining and DVC to a 10,000-run Monte Carlo simulation of the bracket.

Discover how to use Claude Code Router to connect to multiple providers, use the optimal LLM for every task, and reduce API cost without changing your workflow.

Learn Kubernetes the hands-on way! This guide walks you through setting up a local Kubernetes cluster, deploying apps, and managing resources efficiently.

This beginner-friendly tutorial will guide you through the fundamentals of Metaflow. Learn how the framework simplifies building and scaling data science workflows.

This tutorial teaches you how to use Docker to build and deploy a document Q&A application on the Hugging Face Cloud.

A lightweight, daemonless Docker Desktop alternative that streamlines container management, enabling fast training, evaluation, and deployment of machine learning models.

Learn how to streamline your LLM evaluations with MLflow. This guide covers MLflow setup, logging metrics, tracking experiment versions, and comparing models to make informed decisions for optimized LLM performance!

Learn how to install Jenkins on Windows, set up and run Jenkins agents and pipelines, and build MLOps projects with Jenkins pipelines from model training to model serving.