Course Wiki

Module 1: Introduction — MLOps Zoomcamp

Lessons, materials, and key concepts for module 1 of MLOps Zoomcamp.

MLOps Zoomcamp > Module 1: Introduction

The lessons, homework, and materials of module 1 of MLOps Zoomcamp.

Lessons

Key concepts

• Docker
• Jupyter Notebooks
• MLOps Maturity Model
• Linear Regression
• Classification Metrics
• Terraform

Homework and deadlines live in the course repository: mlops-zoomcamp.

Other modules in this course

• Module 2: Experiment Tracking & Model Management
• Module 3: Orchestration & ML Pipelines
• Module 4: Model Deployment
• Module 5: Model Monitoring
• Module 6: Best Practices
• Module 07: Course Project