This tutorial represents lesson 4 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 to forecast energy consumption levels 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.
This course targets mid/advanced machine learning engineers who want to level up their skills by building their own end-to-end projects.
Nowadays, certificates are everywhere. Building advanced end-to-end projects that you can later show off is the best way to get recognition as a professional engineer.
Table of Contents:
- Course Introduction
- Course Lessons
- Data Source
- Lesson 4: Private PyPi Server. Orchestrate Everything with Airflow.
- Lesson 4: Code
- Conclusion
- References