This tutorial represents lesson 1 out of a 7-lesson course that will walk you step-by-step through how to design, implement, and deploy an ML system using MLOps good practices. During the course, you will build a production-ready model forecasting energy consumption for the next 24 hours across multiple consumer types from Denmark.

By the end of this course, you will understand all the fundamentals of designing, coding and deploying an ML system using a batch-serving architecture.

First article

Repo

GitHub - iusztinpaul/energy-forecasting: 🔋 The Full Stack 7-Steps MLOps Framework - Learn ML Engineering by designing, implementing, monitoring, and deploying your own energy consumption forecaster.